One of our favourite things is sharing the stories of amazing young people, volunteers, and educators who are using their passion for technology to create positive change in the world around them.

Recently, we had the pleasure of speaking with Isabel, a computer science teacher at Barton Peveril Sixth Form College in Eastleigh, England. She told us her fascinating journey from industry to education, along with how she is helping to make the tech space inviting to all.

From industry to the classroom: Isabel’s journey to encourage diversity in tech

Isabel’s path to working in the tech sector started with her early exposure to engineering thanks to her father’s career in telecoms.

“I find this is true for a lot of female engineers my age: you will find that their dad or their uncle was an engineer. I remember that when I made the decision to study engineering, my teachers asked me if I was sure that it was something I wanted to do.”

Isabel pursued a degree in engineering because she loved the technical aspects, and during her studies she found a passion for programming. She went to work as a software engineer in Hampshire, contributing to the development of 3G mobile phone technology.

Despite enjoying her career in tech, Isabel felt a strong pull towards teaching due to her long-standing involvement with youth groups and a desire to give back to the community.

“While I was at university in London, I took part in a scheme where we could go into local primary schools and help with their science teaching. At the time, I just thought this was my way of giving back, I hadn’t really thought of it as a career. But actually, after a while, I thought ‘I’m enjoying this programming, but I really liked helping the young kids as well’.”

The transition wasn’t easy, as Computer Science was not widely taught in schools at the time, but Isabel persevered, teaching IT and Media to her classes as well.

Once Isabel settled into her teaching role, she began thinking about how she could tackle a problem she noticed in the STEM field.

Championing diversity in tech

Having experienced first-hand what it was like to be the only woman in STEM spaces, Isabel’s commitment to diversity in technology is at the core of her teaching philosophy. She works hard to create an inclusive environment and a diversity of opportunities in her classroom, making sure girls feel encouraged to pursue careers in tech through exploring various enrichment activities.

Isabel focuses on enrichment activities that bridge the gap between academic learning and real-world application. She runs various projects and competitions, ensuring a balanced representation of girls in these initiatives, and gives her students the opportunity to participate in programs like the Industrial Cadets, Student Robotics, and Coolest Projects. 

Isabel told us that she feels these opportunities provide essential soft skills that are crucial for success in any career.

“The A level environment is so academic; it is heavily focused on working on your own on very abstract topics. Having worked in industry and knowing the need to collaborate, I found that really hard. So I’ve always made sure to do lots of projects with my students where we actually work with real engineers, do real-world projects. I believe strongly in teaching soft skills like team working, project management, and time management.”

Harnessing trusted resources

A key resource in Isabel’s teaching toolkit is the Ada Computer Science platform. She values its reliability and the timely updates to the topics, which are crucial in a rapidly evolving subject like Computer Science.

She said she encourages both her students and fellow teachers, especially those who have retrained in Computer Science, to use the platform as a resource. 

“Ada Computer Science is amazing. We know we can rely on saying to the students ‘look on Ada, the information will be correct’ because I trust the people creating the resources. And we even found ourselves as teachers double-checking things on there. We struggle to get Computer science teachers, so actually only two of us are Computer Science teachers, and the other three are Maths teachers we have trained up. To be able to say ‘if you are not sure about something, look on Ada’ is a really nice thing to have.”

The ongoing challenge and hope for the future

Despite her efforts, Isabel acknowledges that progress in getting more girls to pursue tech careers is slow. Many girls still view tech as an uninviting space and feel like they don’t belong when they find themselves as one of a few girls — if not the only one — in a class. But Isabel remains hopeful that continuous exposure and positive experiences can change these perceptions.

“I talk to students who are often the only girl in the class and they find that really hard. So, if at GCSE they are the only girl in the class, they won’t do [the subject] at A level. So, if we leave it until A level, it is almost too late. Because of this, I try as much as I can to get as many girls as possible onto my engineering enrichment projects to show them as many opportunities in engineering as possible early on.”

Her work with organisations like the UK Electronics Skills Foundation reflects her commitment to raising awareness about careers in electronics and engineering. Through her outreach and enrichment projects, Isabel educates younger students about the opportunities in these fields, hoping to inspire more girls to consider them as viable career paths.

Looking ahead

As new technology continues to be built, Isabel recognises the challenges in keeping up with rapid changes, especially with fields like artificial intelligence (AI). She stays updated through continuous learning and collaborating with her peers, and encourages her students to be adaptable and open to new developments. “The world of AI is both exciting and daunting,” she admits. “We need to prepare our students for a future that we can hardly predict.”

Isabel’s dedication to teaching, her advocacy for diversity, and her efforts to provide real-world learning opportunities make her an inspiring educator. Her commitment was recognised by the Era Foundation in 2023: Isabel was named as one of their David Clark Prize recipients. The award recognises those who “have gone above and beyond the curriculum to inspire students and showcase real-world engineering in the classroom”.

Isabel not only imparts technical knowledge — she inspires her students to believe in their potential, encouraging a new generation of diverse tech professionals. 

If Isabel’s story has inspired you to encourage the next generation of young tech creators, check out the free teaching and training resources we provide to support your journey.

If you are working in Computer Science teaching for learners age 14 and up, take a look at how Ada Computer Science will support you. 

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About three weeks ago, a small team from the Raspberry Pi Foundation braved high temperatures and expensive coffees (and a scarcity of tea) to spend time with educators at the CSTA Annual Conference in Las Vegas.

With thousands of attendees from across the US and beyond participating in engaging workshops, thought-provoking talks, and visiting the fantastic expo hall, the CSTA conference was an excellent opportunity for us to connect with and learn from educators.

Meeting educators & sharing resources

Our hope for the conference week was to meet and learn from as many different educators as possible, and we weren’t disappointed. We spoke with a wide variety of teachers, school administrators, and thought leaders about the progress, successes, and challenges of delivering successful computer science (CS) programs in the US (more on this soon). We connected and reconnected with so many educators at our stand, gave away loads of stickers… and we even gave away a Raspberry Pi Pico to one lucky winner each day.

As well as learning from hundreds of educators throughout the week, we shared some of the ways in which the Foundation supports teachers to deliver effective CS education. Our team was on hand to answer questions about our wide range of free learning materials and programs to support educators and young people alike. We focused on sharing our projects site and all of the ways educators can use the site’s unique projects pathways in their classrooms. And of course we talked to educators about Code Club. It was awesome to hear from club leaders about the work their students accomplished, and many educators were eager to start a new club at their schools! 

Back in 2022 at the last in-person CSTA conference, we had donated a copy of our first special edition of Hello World magazine, The Big Book of Computing Pedagogy, for every attendee. This time around, we donated copies of our follow-up special edition, The Big Book of Computing Content. Where the first Big Book focuses on how to teach computing, the second Big Book delves deep into what we teach as the subject of computing, laying it out in 11 content strands.

• If you weren’t able to get your hands on a copy of The Big Book of Computing Content, you can download yours for free. 
• If you’d like to write about your teaching for Hello World, find out more and share your idea today.

Our talks about teaching (with) AI

One of the things that makes CSTA conferences so special is the fantastic range of talks, workshops, and other sessions running at and around the conference. We took the opportunity to share some of our work in flash talks and two full-length sessions.

One of the sessions was led by one of our Senior Learning Managers, Ben Garside, who gave a talk to a packed room on what we’ve learned from developing AI education resources for Experience AI. Ben shared insights we’ve gathered over the last two years and talked about the design principles behind the Experience AI resources.

Being in the room for Ben’s talk, I was struck by two key takeaways:

1. The issue of anthropomorphism, that is, projecting human-like characteristics onto artificial intelligence systems and other machines. This presents several risks and obstacles for young people trying to understand AI technology. In our teaching, we need to take care to avoid anthropomorphizing AI systems, and to help young people shift false conceptions they might bring into the classroom.
2. Teaching about AI requires fostering a shift in thinking. When we teach traditional programming, we show learners that this is a rules-based, deterministic approach; meanwhile, AI systems based on machine learning are driven by data and statistical patterns. These two approaches and their outcomes are distinct (but often combined), and we need to help learners develop their understanding of the significant differences.

Our second session was led by Diane Dowling, another Senior Learning Manager at the Foundation. She shared some of the development work behind Ada Computer Science, our free platform providing educators and learners with a vast set of questions and content to help understand CS.

Recently, we’ve been experimenting with the use of a large language model (LLM) on Ada to provide assessment feedback on long-form questions. This led to a great conversation between Diane and the audience about the practicalities, risks, and implications of such feature.

More on what we learned from CSTA coming soon

We had a fantastic time with the educators in Vegas and are grateful to CSTA and their sponsors for the opportunity to meet and learn from so many different people. We’ll be sharing some of what we learned from the educators we spoke to in a future blog post, so watch this space.

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If you are into tech, keeping up with the latest updates can be tough, particularly when it comes to artificial intelligence (AI) and generative AI (GenAI). Sometimes I admit to feeling this way myself, however, there was one update recently that really caught my attention. OpenAI launched their latest iteration of ChatGPT, this time adding a female-sounding voice. Their launch video demonstrated the model supporting the presenters with a maths problem and giving advice around presentation techniques, sounding friendly and jovial along the way. 

Adding a voice to these AI models was perhaps inevitable as big tech companies try to compete for market share in this space, but it got me thinking, why would they add a voice? Why does the model have to flirt with the presenter? 

Working in the field of AI, I’ve always seen AI as a really powerful problem-solving tool. But with GenAI, I often wonder what problems the creators are trying to solve and how we can help young people understand the tech. 

What problem are we trying to solve with GenAI?

The fact is that I’m really not sure. That’s not to suggest that I think that GenAI hasn’t got its benefits — it does. I’ve seen so many great examples in education alone: teachers using large language models (LLMs) to generate ideas for lessons, to help differentiate work for students with additional needs, to create example answers to exam questions for their students to assess against the mark scheme. Educators are creative people and whilst it is cool to see so many good uses of these tools, I wonder if the developers had solving specific problems in mind while creating them, or did they simply hope that society would find a good use somewhere down the line?

Whilst there are good uses of GenAI, you don’t need to dig very deeply before you start unearthing some major problems. 

Anthropomorphism

Anthropomorphism relates to assigning human characteristics to things that aren’t human. This is something that we all do, all of the time, without it having consequences. The problem with doing this with GenAI is that, unlike an inanimate object you’ve named (I call my vacuum cleaner Henry, for example), chatbots are designed to be human-like in their responses, so it’s easy for people to forget they’re not speaking to a human. 

As feared, since my last blog post on the topic, evidence has started to emerge that some young people are showing a desire to befriend these chatbots, going to them for advice and emotional support. It’s easy to see why. Here is an extract from an exchange between the presenters at the ChatGPT-4o launch and the model:

ChatGPT (presented with a live image of the presenter): “It looks like you’re feeling pretty happy and cheerful with a big smile and even maybe a touch of excitement. Whatever is going on? It seems like you’re in a great mood. Care to share the source of those good vibes?” Presenter: “The reason I’m in a good mood is we are doing a presentation showcasing how useful and amazing you are.” ChatGPT: “Oh stop it, you’re making me blush.”

The Family Online Safety Institute (FOSI) conducted a study looking at the emerging hopes and fears that parents and teenages have around GenAI.

One quote from a teenager said:

“Some people just want to talk to somebody. Just because it’s not a real person, doesn’t mean it can’t make a person feel — because words are powerful. At the end of the day, it can always help in an emotional and mental way.”  

The prospect of teenagers seeking solace and emotional support from a generative AI tool is a concerning development. While these AI tools can mimic human-like conversations, their outputs are based on patterns and data, not genuine empathy or understanding. The ultimate concern is that this exposes vulnerable young people to be manipulated in ways we can’t predict. Relying on AI for emotional support could lead to a sense of isolation and detachment, hindering the development of healthy coping mechanisms and interpersonal relationships. 

Arguably worse is the recent news of the world’s first AI beauty pageant. The very thought of this probably elicits some kind of emotional response depending on your view of beauty pageants. There are valid concerns around misogyny and reinforcing misguided views on body norms, but it’s also important to note that the winner of “Miss AI” is being described as a lifestyle influencer. The questions we should be asking are, who are the creators trying to have influence over? What influence are they trying to gain that they couldn’t get before they created a virtual woman? 

DeepFake tools

Another use of GenAI is the ability to create DeepFakes. If you’ve watched the most recent Indiana Jones movie, you’ll have seen the technology in play, making Harrison Ford appear as a younger version of himself. This is not in itself a bad use of GenAI technology, but the application of DeepFake technology can easily become problematic. For example, recently a teacher was arrested for creating a DeepFake audio clip of the school principal making racist remarks. The recording went viral before anyone realised that AI had been used to generate the audio clip. 

Easy-to-use DeepFake tools are freely available and, as with many tools, they can be used inappropriately to cause damage or even break the law. One such instance is the rise in using the technology for pornography. This is particularly dangerous for young women, who are the more likely victims, and can cause severe and long-lasting emotional distress and harm to the individuals depicted, as well as reinforce harmful stereotypes and the objectification of women. 

Why we should focus on using AI as a problem-solving tool

Technological developments causing unforeseen negative consequences is nothing new. A lot of our job as educators is about helping young people navigate the changing world and preparing them for their futures and education has an essential role in helping people understand AI technologies to avoid the dangers. 

Our approach at the Raspberry Pi Foundation is not to focus purely on the threats and dangers, but to teach young people to be critical users of technologies and not passive consumers. Having an understanding of how these technologies work goes a long way towards achieving sufficient AI literacy skills to make informed choices and this is where our Experience AI program comes in. 

Experience AI is a set of lessons developed in collaboration with Google DeepMind and, before we wrote any lessons, our team thought long and hard about what we believe are the important principles that should underpin teaching and learning about artificial intelligence. One such principle is taking a problem-first approach and emphasising that computers are tools that help us solve problems. In the Experience AI fundamentals unit, we teach students to think about the problem they want to solve before thinking about whether or not AI is the appropriate tool to use to solve it. 

Taking a problem-first approach doesn’t by default avoid an AI system causing harm — there’s still the chance it will increase bias and societal inequities — but it does focus the development on the end user and the data needed to train the models. I worry that focusing on market share and opportunity rather than the problem to be solved is more likely to lead to harm.

Another set of principles that underpins our resources is teaching about fairness, accountability, transparency, privacy, and security (Fairness, Accountability, Transparency, and Ethics (FATE) in Artificial Intelligence (AI) and higher education, Understanding Artificial Intelligence Ethics and Safety) in relation to the development of AI systems. These principles are aimed at making sure that creators of AI models develop models ethically and responsibly. The principles also apply to consumers, as we need to get to a place in society where we expect these principles to be adhered to and consumer power means that any models that don’t, simply won’t succeed. 

Furthermore, once students have created their models in the Experience AI fundamentals unit, we teach them about model cards, an approach that promotes transparency about their models. Much like how nutritional information on food labels allows the consumer to make an informed choice about whether or not to buy the food, model cards give information about an AI model such as the purpose of the model, its accuracy, and known limitations such as what bias might be in the data. Students write their own model cards based on the AI solutions they have created. 

What else can we do?

At the Raspberry Pi Foundation, we have set up an AI literacy team with the aim to embed principles around AI safety, security, and responsibility into our resources and align them with the Foundations’ mission to help young people to:

• Be critical consumers of AI technology
• Understand the limitations of AI
• Expect fairness, accountability, transparency, privacy, and security and work toward reducing inequities caused by technology
• See AI as a problem-solving tool that can augment human capabilities, but not replace or narrow their futures 

Our call to action to educators, carers, and parents is to have conversations with your young people about GenAI. Get to know their opinions on GenAI and how they view its role in their lives, and help them to become critical thinkers when interacting with technology. 

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About the projects

Over the past few months, young people across Europe have run their computer programs  on the International Space Station (ISS) as part of Astro Pi Mission Zero and Mission Space Lab.

Mission Zero offers young people the chance to write a simple program that takes a reading from the colour and luminosity sensor on an Astro Pi computer on board the ISS, and uses it to set the background colour in a personalised image for the astronauts to see as they go about their daily tasks. In total, 16,039 teams and 24,663 young people participated in Mission Zero this year. This was a 3% increase in teams entering compared to last year.

Mission Space Lab offers teams of young people the chance to run scientific experiments on board the ISS. This year, 564 teams and 2,008 young people participated in Mission Space Lab. Compared with last year, there was a 4% increase in the number of teams who managed to achieve flight status and run their code in space.

To evaluate the projects, we encouraged mentors to complete surveys once their teams had submitted their computer programs. Overall, 135 Mission Zero mentors (11% of mentors) and 56 Mission Space Lab mentors (15% of mentors) completed surveys. We also ran focus groups with mentors from both projects to understand their experiences and the impact of these projects on young people.

Impact on young people

Understanding how technology is changing the world

The mentors we spoke to told us how valuable Mission Zero and Mission Space Lab are because these experiences connect young people to real technology. Mentors felt that Mission Zero and Mission Space Lab bridge the gap between theoretical coding and tangible outcomes, giving young people the confidence to engage with technology.

“Participating in Mission Space Lab offers students a great opportunity to work with the International Space Station, to see the Earth from above, to challenge them to overcome the terrestrial limits. It’s very important.” — Mission Space Lab mentor

“We want students to use their digital skills as superpowers to make the world a better place and this competition really aligns with that because regardless of your race, your ethnicity, your gender, you can write some code that actually runs in space. And if you can do that, then you can make medical tech, or you can solve the big problem that the adults of the world are still grappling with, so it’s the opening up [of] opportunities.” — Mission Zero mentor

Mentors observed that the project inspired children to consider careers they previously thought were out of reach. Space exploration was no longer a far away and theoretical idea for the children, but something connected to their everyday lives and their own learning.

“Some of the people that I was teaching this to felt like becoming an astronaut was really difficult to learn… now it’s not necessarily a distant thing to study.” — Mission Zero mentor

Mentors also described how the young people gained confidence in their ability to engage with technologies. One mentor described the “self-esteem” and “pride” younger pupils gained from participation. Others talked about the confidence that came with achieving something like having their code run in space and receiving certificates proving they were “space scientists”.

Our mentors

None of this would be possible without the hard work and dedication of our mentors. So, as part of our evaluation, we wanted to understand how we can best support them. For Mission Space Lab, that took the form of assessing the new guidance that we published this year and that sits alongside the project. When we spoke to mentors, they told us this guide provided clear, step-by-step guidance that enabled the young people to work through the project, and the majority of survey respondents agreed: 89% rated the Mission Space Lab project guide as somewhat or very understandable. 

We also heard from mentors about the ways they are using Mission Zero in a wider context. Some told us that their schools ran the project as part of space-themed weeks where they used Mission Zero in conversations about space exploration, the Hubble telescope, and learning the names of the stars. Others used Mission Zero across multiple subjects by designing images and holding art competitions based on the design, as well as learning about pixels and animations. 

Additionally, it was a pleasure to hear about young people who had participated in Mission Zero in previous years gaining leadership skills by supporting other young people to complete Mission Zero this year.

Next steps

Thank you to all the mentors who provided constructive feedback through surveys and focus groups. We have read and considered every comment and will continue to consider how to improve the experience for mentors and young people. 

We will publish an in-depth report with the findings of our evaluation later in the year; however, we’ve already made some changes to the programme that will be launching for the 2024/25 Astro Pi challenge and wanted to share these updates with you now.

Improvements for next year:

Mission Zero

• We’re adding a save button to Mission Zero to allow young people to work on this across multiple sessions.
• We’re adding new code examples to the Mission Zero project guide. These have been selected from team submissions from the 2023/24 challenge.

Mission Space Lab

• We’re creating an online testing tool for Mission Space Lab so that it will be easier for teams to test whether or not their code works. It will feature new data and images captured from the ISS in spring 2024.

We hope that all the young people and mentors who participated in last year’s Astro Pi challenge enjoyed the experience and learnt a lot. With the exciting updates we’re working on for the 2024/25 Astro Pi challenge, we hope to see even more young people participate and share their creative projects next year.

Project launch dates

• 16 September 2024: Mission Zero and Mission Space Lab launch
• 24 February 2025: Mission Space Lab submissions close
• 24 March 2025: Mission Zero submissions close
• April – May 2025: Programs run on the International Space Station
• June 2025: Teams receive certificates 

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The world of education is loud with discussions about the uses and risks of generative AI — tools for outputting human-seeming media content such as text, images, audio, and video. In answer, there’s a new practical guide on using generative AI aimed at Computing teachers (and others), written by a group of classroom teachers and researchers at the Raspberry Pi Computing Education Research Centre and Faculty of Education at the University of Cambridge.

Their new guide is a really useful overview for everyone who wants to:

• Understand the issues generative AI tools present in the context of education
• Find out how to help their schools and students navigate them
• Discover ideas on how to make use of generative AI tools in their teaching

Since generative AI tools have become publicly available, issues around data privacy and plagiarism are at the front of educators’ minds. At the same time, many educators are coming up with creative ways to use generative AI tools to enhance teaching and learning. The Research Centre’s guide describes the areas where generative AI touches on education, and lays out what schools and teachers can do to use the technology beneficially and help their learners do the same.

Teaching students about generative AI tools

It’s widely accepted that AI tools can bring benefits but can also be used in unhelpful or harmful ways. Basic knowledge of how AI and machine learning works is key to being able to get the best from them. The Research Centre’s guide shares recommended educational resources for teaching learners about AI.

One of the recommendations is Experience AI, a set of free classroom resources we’re creating. It includes a set of 6 lessons for providing 11- to 14-year-olds with a foundational understanding of AI systems, as well as a standalone lesson specifically for teaching about large language model-based AI tools, such as ChatGPT and Google Gemini. These materials are for teachers of any specialism, not just for Computing teachers.

You’ll find that even a brief introduction to how large language models work is likely to make students’ ideas about using these tools to do all their homework much less appealing. The guide outlines creative ways you can help students see some of generative AI’s pitfalls, such as asking students to generate outputs and compare them, paying particular attention to inaccuracies in the outputs.

Generative AI tools and teaching computing

We’re still learning about what the best ways to teach programming to novice learners are. Generative AI has the potential to change how young people learn text-based programming, as AI functionality is now integrated into many of the major programming environments, generating example solutions or helping to spot errors.

The Research Centre’s guide acknowledges that there’s more work to be done to understand how and when to support learners with programming tasks through generative AI tools. (You can follow our ongoing seminar series on the topic.) In the meantime, you may choose to support established programming pedagogies with generative AI tools, such as prompting an AI chatbot to generate a PRIMM activity on a particular programming concept.

As ethics and the impact of technology play an important part in any good Computing curriculum, the guide also shares ways to use generative AI tools as a focus for your classroom discussions about topics such as bias and inequality.

Using generative AI tools to support teaching and learning

Teachers have been using generative AI applications as productivity tools to support their teaching, and the Research Centre’s guide gives several examples you can try out yourself. Examples include creating summaries of textual materials for students, and creating sets of questions on particular topics. As the guide points out, when you use generative AI tools like this, it’s important to always check the accuracy of the generated materials before you give any of them to your students.

Putting a school-wide policy in place

Importantly, the Research Centre’s guide highlights the need for a school-wide acceptable use policy (AUP) that informs teachers, other school staff, and students on how they may use generative AI tools. This section of the guide suggests websites that offer sample AUPs that can be used as a starting point for your school. Your AUP should aim to keep users safe, covering e-safety, privacy, and security issues as well as offering guidance on being transparent about the use of generative tools.

It’s not uncommon that schools look to specialist Computing teachers to act as the experts on questions around use of digital tools. However, for developing trust in how generative AI tools are used in the school, it’s important to encourage as wide a range of stakeholders as possible to be consulted in the process of creating an AUP.

A source of support for teachers and schools

As the Research Centre’s guide recognises, the landscape of AI and our thinking about it might change. In this uncertain context, the document offers a sensible and detailed overview of where we are now in understanding the current impact of generative AI on Computing as a subject, and on education more broadly. The example use cases and thought-provoking next steps on how this technology can be used and what its known risks and concerns are should be helpful for all interested educators and schools.

I recommend that all Computing teachers read this new guide, and I hope you feel inspired about the key role that you can play in shaping the future of education affected by AI.

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Developed by us and Google DeepMind, Experience AI provides teachers with free resources to help them confidently deliver lessons that inspire and educate young people about artificial intelligence (AI) and the role it could play in their lives.

Tracy Mayhead is a computer science teacher at Arthur Mellows Village College in Cambridgeshire. She recently taught Experience AI to her KS3 pupils. In this blog post, she shares 4 key learnings from this experience.

1. Preparation saves time

The Experience AI lesson plans provided a clear guide on how to structure our lessons.

Each lesson includes teacher-facing intro videos, a lesson plan, a slide deck, activity worksheets, and student-facing videos that help to introduce each new AI concept. 

It was handy to know in advance which websites needed unblocking so students could access them. 

You can find a unit overview on the Experience AI website to get an idea of what is included in each lesson.

“My favourite bit was making my own model, and choosing the training data. I enjoyed seeing how the amount of data affected the accuracy of the AI and testing the model.” – Student, Arthur Mellows Village College, UK 

2. The lessons can be adapted to meet student’s needs 

It was clear from the start that I could adapt the lessons to make them work for myself and my students.

Having estimated times and corresponding slides for activities was beneficial for adjusting the lesson duration. The balance between learning and hands-on tasks was just right.

I felt fairly comfortable with my understanding of AI basics. However, teaching it was a learning experience, especially in tailoring the lessons to cater to students with varying knowledge. Their misconceptions sometimes caught me off guard, like their belief that AI is never wrong. Adapting to their needs and expectations was a learning curve. 

“It has definitely changed my outlook on AI. I went from knowing nothing about it to understanding how it works, why it acts in certain ways, and how to actually create my own AI models and what data I would need for that.” – Student, Arthur Mellows Village College, UK 

3. Young people are curious about AI and how it works

My students enjoyed the practical aspects of the lessons, like categorising apples and tomatoes. They found it intriguing how AI could sometimes misidentify objects, sparking discussions on its limitations. They also expressed concerns about AI bias, which these lessons helped raise awareness about. I didn’t always have all the answers, but it was clear they were curious about AI’s implications for their future.

It’s important to acknowledge that as a teacher you won’t always have all the answers especially when teaching AI literacy, which is such a new area. This is something that can be explored in a class alongside students.

There is an online course you can use that can help get you started teaching about AI if you are at all nervous.

“I learned a lot about AI and the possibilities it holds to better our futures as well as how to train it and problems that may arise when training it.” – Student, Arthur Mellows Village College, UK

4. Engaging young people with AI is important

Students are fascinated by AI and they recognise its significance in their future. It is important to equip them with the knowledge and skills to fully engage with AI.

Experience AI provides a valuable opportunity to explore these concepts and empower students to shape and question the technology that will undoubtedly impact their lives.

“It has changed my outlook on AI because I now understand it better and feel better equipped to work with AI in my working life.” – Student, Arthur Mellows Village College, UK 

What is your experience of teaching Experience AI lessons?

We completely agree with Tracy. AI literacy empowers people to critically evaluate AI applications and how they are being used. Our Experience AI resources help to foster critical thinking skills, allowing learners to use AI tools to address challenges they are passionate about. 

We’re also really interested to learn what misconceptions students have about AI and how teachers are addressing them. If you come across misconceptions that surprise you while you’re teaching with the Experience AI lesson materials, please let us know via the feedback form linked in the final lesson of the six-lesson unit.

If you would like to teach Experience AI lessons to your students, download the free resources from experience-ai.org

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As use of generative artificial intelligence (or generative AI) tools such as ChatGPT, GitHub Copilot, or Gemini becomes more widespread, educators are thinking carefully about the place of these tools in their classrooms. For undergraduate education, there are concerns about the role of generative AI tools in supporting teaching and assessment practices. For undergraduate computer science (CS) students, generative AI also has implications for their future career trajectories, as it is likely to be relevant across many fields.

In a recent seminar in our current series on teaching programming (with or without AI), we were delighted to be joined by Dr Stephen MacNeil, Andrew Tran, and Irene Hou from Temple University. Their talk showcased several research projects involving generative AI in undergraduate education, and explored how undergraduate research projects can create agency for students in navigating the implications of generative AI in their professional lives.

Differing perceptions of generative AI

Stephen began by discussing the media coverage around generative AI. He highlighted the binary distinction between media representations of generative AI as signalling the end of higher education — including programming in CS courses — and other representations that highlight the issues that using generative AI will solve for educators, such as improving access to high-quality help (specifically, virtual assistance) or personalised learning experiences.

As part of a recent ITiCSE working group, Stephen and colleagues conducted a survey of undergraduate CS students and educators and found conflicting views about the perceived benefits and drawbacks of generative AI in computing education. Despite this divide, most CS educators reported that they were planning to incorporate generative AI tools into their courses. Conflicting views were also noted between students and educators on what is allowed in terms of generative AI tools and whether their universities had clear policies around their use.

The role of generative AI tools in students’ help-seeking

There is growing interest in how undergraduate CS students are using generative AI tools. Irene presented a study in which her team explored the effect of generative AI on undergraduate CS students’ help-seeking preferences. Help-seeking can be understood as any actions or strategies undertaken by students to receive assistance when encountering problems. Help-seeking is an important part of the learning process, as it requires metacognitive awareness to understand that a problem exists that requires external help. Previous research has indicated that instructors, teaching assistants, student peers, and online resources (such as YouTube and Stack Overflow) can assist CS students. However, as generative AI tools are now widely available to assist in some tasks (such as debugging code), Irene and her team wanted to understand which resources students valued most, and which factors influenced their preferences. Their study consisted of a survey of 47 students, and follow-up interviews with 8 additional students. 

Responding to the survey, students stated that they used online searches or support from friends/peers more frequently than two generative AI tools, ChatGPT and GitHub Copilot; however, Irene indicated that as data collection took place at the beginning of summer 2023, it is possible that students were not familiar with these tools or had not used them yet. In terms of students’ experiences in seeking help, students found online searches and ChatGPT were faster and more convenient, though they felt these resources led to less trustworthy or lower-quality support than seeking help from instructors or teaching assistants.

Some students felt more comfortable seeking help from ChatGPT than peers as there were fewer social pressures. Comparing generative AI tools and online searches, one student highlighted that unlike Stack Overflow, solutions generated using ChatGPT and GitHub Copilot could not be verified by experts or other users. Students who received the most value from using ChatGPT in seeking help either (i) prompted the model effectively when requesting help or (ii) viewed ChatGPT as a search engine or comprehensive resource that could point them in the right direction. Irene cautioned that some students struggled to use generative AI tools effectively as they had limited understanding of how to write effective prompts.

Using generative AI tools to produce code explanations

Andrew presented a study where the usefulness of different types of code explanations generated by a large language model was evaluated by students in a web software development course. Based on Likert scale data, they found that line-by-line explanations were less useful for students than high-level summary or concept explanations, but that line-by-line explanations were most popular. They also found that explanations were less useful when students already knew what the code did. Andrew and his team then qualitatively analysed code explanations that had been given a low rating and found they were overly detailed (i.e. focusing on superfluous elements of the code), the explanation given was the wrong type, or the explanation mixed code with explanatory text. Despite the flaws of some explanations, they concluded that students found explanations relevant and useful to their learning.

Using generative AI tools to create multiple choice questions

In a separate study, Andrew and his team investigated the use of ChatGPT to generate novel multiple choice questions for computing courses. The researchers prompted two models, GPT-3 and GPT-4, with example question stems to generate correct answers and distractors (incorrect but plausible choices). Across two data sets of example questions, GPT-4 significantly outperformed GPT-3 in generating the correct answer (75.3% and 90% vs 30.8% and 36.7% of all cases). GPT-3 performed less well at providing the correct answer when faced with negatively worded questions. Both models generated correct answers as distractors across both sets of example questions (GPT-3: 11.1% and 10% of cases; GPT-4: 9.9% and 17.8%). They concluded that educators would still need to verify whether answers were correct and distractors were appropriate.

Undergraduate students shaping the direction of generative AI research

With student concerns about generative AI and its implications for the world of work, the seminar ended with a hopeful message highlighting undergraduate students being proactive in conducting their own research and shaping the direction of generative AI research in computer science education. Stephen concluded the seminar by celebrating the undergraduate students who are undertaking these research projects.

You can watch the seminar here:

If you are interested to learn more about Stephen’s work on generative AI, you can read about how undergraduate students used generative AI tools to create analogies for recursion. If you would like to experiment with using generative AI tools to assist with debugging, you could try using Gemini, ChatGPT, or Copilot.

Join our next seminar

Our current seminar series is on teaching programming with or without AI. 

In our next seminar, on 16 July at 17:00 to 18:30 BST, we welcome Laurie Gale (Raspberry Pi Computing Education Research Centre, University of Cambridge), who will discuss how to teach debugging to secondary school students. To take part in the seminar, click the button below to sign up, and we will send you information about how to join. We hope to see you there.

The schedule of our upcoming seminars is available online. You can catch up on past seminars on our blog and on the previous seminars and recordings page.

The post Empowering undergraduate computer science students to shape generative AI research appeared first on Raspberry Pi Foundation.

We love hearing from members of the community and sharing the stories of amazing young people, volunteers, and educators who are using their passion for technology to create positive change in the world around them.

In our latest story, we’re heading to London to meet Yang, a Manager in Technology Consulting at EY specialising in Microsoft Business Applications, whose commitment to CoderDojo is truly inspiring. Yang’s passion for volunteering has grown since she first volunteered at a CoderDojo club at a local museum. In recent years, she has actively searched for ways to bring the CoderDojo movement to more children, and encouraged her colleagues to come along on the journey too.

Introducing Yang

When Yang was growing up, both of her parents worked in STEM, but her own journey into a career in technology took a varied route. After initially studying journalism in China, her path shifted when she pursued a Master’s in Digital Humanities at UCL, London, broadening her digital skills and paving the way for her current role.

On a weekend visit to a museum, Yang found the opportunity to volunteer at their CoderDojo. This experience sparked an enthusiasm to create more opportunities for young people to explore the world of computing, and this soon evolved into a plan to implement clubs at the EY offices. 

Building a community of mentors

With support from the EY Corporate Responsibility team, and fellow colleagues, Yang started to deliver Dojo sessions at the EY office in London. From the very first session, Yang was blown away by the level of enthusiasm among her colleagues, and their willingness to volunteer their time to support the club. She soon realised it was possible to roll this initiative out to other offices around the country, expanding the volunteer network and increasing their impact.

Clubs have now been run in four EY offices across the UK, and the team has even seen the first international club take place, at the EY office in Baku, Azerbaijan. In total, EY clubs have seen around 350 young people attend and give coding a go.

Championing diversity in tech

As a woman in tech, Yang is all too aware of the gender imbalance in the industry, and this is something she wanted the clubs at the EY offices to address. 

“If there are some female role models, I think for a little girl grow up that means so much. Because if they can see somebody thrive in this industry, they will see themselves there one day. And that’s the inspiration.” – Yang

Yang actively encourages female participation in Dojo sessions, for example through holding sessions with a focus on engaging girls to mark International Women’s Day and Ada Lovelace Day. Through her leadership, she creates an inclusive environment where girls can envision themselves as future leaders. 

Yang’s motivation doesn’t only inspire the young people attending her clubs, but also resonates with those who work with her on a daily basis, including colleagues like Iman and Elizabeth, who shared how much they admire Yang’s dedication and energy.

“I would love to have had a role model like [Yang] when I was younger. She’s just so inspiring. She’s so full of energy. I mean, from my personal experience, when I was younger, we didn’t have anything to do with coding.

There were situations where I was vaguely interested [in computing] but was told that it wasn’t for girls. And now with Yang running these events, seeing the girls come here and being so interested and wanting to learn, it really opens up so many more doors for them that they don’t even realise.” – Elizabeth, colleague and CoderDojo volunteer

Seeing the impact of her mentorship and the enthusiasm of young participants has fueled Yang’s passion even further. 

“This has been a great opportunity to set up CoderDojo sessions for young people. I’ve had a lot of support from colleagues and other volunteers who have helped to run the sessions […] I feel super proud of what we’ve achieved so far.” – Yang

For Yang, mentorship isn’t just about teaching technical skills; it’s about helping young people develop confidence and resilience, and letting everyone know there is a place for them in computing should they want one.

Continuing to make a difference in her community and beyond, Yang recently participated in the 68th annual UN Women’s Commission on the Status of Women, which is the UN’s largest annual gathering on gender equality and women’s empowerment. 

We’re delighted to be part of Yang’s journey, and can’t wait to see what she contributes to the world of tech next.

Help us celebrate Yang and her inspiring journey by sharing her story on X, LinkedIn, and Facebook.

The post Celebrating the community: Yang appeared first on Raspberry Pi Foundation.

As the Experience AI Challenge has closed for submissions, we would like to thank all the talented young people who participated and submitted their projects this year.

The Challenge, created by us in collaboration with Google DeepMind, guides young people under the age of 18, and their mentors, through the process of creating their own unique AI project. It encourages young people to seek out real-world problems and create possible AI-based solutions. From January to May, participants in the UK were also able to submit their projects for feedback from AI experts.

In response to the submissions, Richard Hayler, our Director of Youth Programmes commented:

“In running the Challenge, we have seen an incredible display of creativity, ingenuity, and curiosity about AI among young people. The dedication and innovation they  demonstrated in their submitted projects has been truly inspiring. The Challenge has not only showcased the immense potential of addressing problems using AI tools, but most of all the remarkable talent and dedication of the next generation of innovators.

We would also like to thank all the mentors who guided and encouraged participants throughout the Challenge for their invaluable support. Their expertise and mentorship were instrumental in the young people’s success.”

Some Challenge highlights

These are some examples of the innovative projects young people created: 

AI creation: River Water Quality Prediction App

Creator: Shreyas, age 13

What does it do:

“The model predicts how good the water quality of a river is based on several factors such as the levels of ammonium, nitrates, and dissolved oxygen.”

Who is it for:

”It can be used to tell if river water is safe to drink, or safe for life. This can also be used by authorities to decide where to deploy limited resources to purify water depending on its toxicity.”

AI creation: Coeliac Disease

Creator: Zainev, age 14–18

What does it do:

“The model aims to identify foods that contain the allergen gluten.”

Who is it for:

“It is for people with gluten allergy and/or people trying to arrange food for those with a gluten allergy, as it will easily help them identify foods that contain gluten and are not safe to eat.”

AI creation: Spacepuppy’s colour adventure

Creator: Charlotte, age 12

What does it do:

“Teaches children about colours.”

Who is it for:

“Teachers at primary schools/ nurseries.”

AI creation: Nutrify

Creator: Ishaan, age 14–18

What does it do:

“The model identifies the students’ food items through a webcam image, giving its specific nutritional information including calories, carbs, sugars and proteins.”

Who is it for:

“This model can be easily used by students to be aware of the nutritional information of their meals.”

AI creation: Flossie

Creator: Florence, age 11

What does it do:

“Identifies dressing gowns, slippers and pyjamas.”

Who is it for:

“For young children to learn different clothing.”

AI creation: Dermalyst

Creator: Vedant, age 14–18

What does it do:

“Dermalyst is an AI-based dermatologist that analyses images of your skin to check if you have any skin infection or disease and also suggests solutions.”

Who is it for:

“This app is targeted at young people but anyone could use it. It saves them from having to wait for a GP appointment.”

AI creation: Bird identifier

Creator: William, age 13

What does it do:

“It is designed to identify common garden birds native to the United Kingdom. It can identify robins, blue tits, great tits and blackbirds by their photograph.”

Who is it for:

“Bird watchers may use the app to identify the birds that they see but don’t know what they are.”

Save the date for the celebratory webinar

We would like to invite you to an online webinar on Wednesday 10 July at 4pm BST to celebrate all Experience AI Challenge participants. Click ‘notify me’ on YouTube to be notified when the webinar starts.

During the webinar, Mark Calleja from the Raspberry Pi Foundation and Rosemary Francis, Chief Scientist for High-Performance Computing at Altair, will highlight some young people’s AI creations, and discuss all things AI. You can share your questions about AI for Mark and Rosemary by filling in this form today.

Download the Experience AI Challenge resources

Once again thank you to everyone who participated in the Experience AI Challenge and submitted their projects.

If you’re interested in the Challenge, you can still download the resources and use them to create your own AI projects.

The post Celebrating the AI innovators of tomorrow appeared first on Raspberry Pi Foundation.

Tuesday 11 June 2024 will be remembered as one of the most important days in the history of Raspberry Pi.

The successful introduction of the Raspberry Pi Foundation’s commercial subsidiary on the London Stock Exchange is a genuinely remarkable achievement. I want to put on record my huge congratulations and thanks to Eben Upton, Martin Hellawell, and the whole team at Raspberry Pi Holdings plc for everything they have done to make this possible. 

The purpose of the IPO was to secure the next stage of growth and impact for both the Foundation and the company. We have huge ambitions and the IPO has provided both organisations with the capital we need to pursue those ambitions at pace and scale. Our Chief Executive Philip Colligan has already explained what it means for the Raspberry Pi Foundation and our mission to empower young people all over the world. 

In this post, I wanted to take a moment to acknowledge the significant contribution that others have made over the years, particularly all of the Trustees who have been so generous with their time, energy, and expertise. 

Founding Trustees

The Raspberry Pi Foundation was established in 2008 by six founding Trustees: Alan Mycroft, David Braben, Eben Upton, Jack Lang, Pete Lomas, and Rob Mullins. All of them deserve credit and thanks for setting us off on this incredible journey. 

Alan, Eben, Jack, and Rob were all involved with the Computer Lab at the University of Cambridge. They were dealing with a decline in applications to study the computer science undergraduate course, which was a symptom of the much wider challenge that far too many young people weren’t getting access to opportunities to learn computer science, or getting hands-on with programming and electronics. 

David Braben brought an industry perspective, drawing on the challenges he was experiencing with recruiting engineers and programmers at the world-leading games company that he had founded, Frontier Developments.

For Pete Lomas, he was paying forward the support and inspiration that he received from a college technician who gave him the opportunity and encouragement to experiment with programming a DEC PDP-8. That experience ultimately led Pete to establish Norcott Technologies, an electronics design and manufacturing business that he still runs today.

The founding Trustees’ original idea was to create a low-cost programmable computer — available for the price of a textbook — that would remove price as a barrier to owning a computer and inspire young people to take their first steps with computing. It took four years for the first Raspberry Pi computer to be launched, an achievement for which Eben and Pete were rightly honoured, along with other members of the team, as recipients of the prestigious MacRobert Prize for engineering.

Combining social impact and commercial success 

What none of our founding Trustees could have predicted was the enormous commercial success of Raspberry Pi computers. In realising their vision of a low-cost programmable computer for education, the team created a new category of single-board computers that found a home with enthusiasts and industry, enabling the team to evolve — through hard work and creativity — into a business that is now entering a new phase as a listed company.

They also delivered on the original mission, with computer science at the University of Cambridge now being one of the most oversubscribed undergraduate courses in the country and many applicants citing Raspberry Pi computers as part of their introduction to programming. 

The commercial success of Raspberry Pi has enabled the Foundation to expand its educational programmes to the point where it is now established as one of the world’s leading nonprofits focused on democratising access to computing education, and is benefiting the lives of tens of millions of young people already. 

It takes a village 

While no-one really knows the origin of the proverb ‘It takes a village to raise a child’, we can all recognise the truth in that simple statement. It applies just as much for endeavours like Raspberry Pi.

Over the years, Raspberry Pi has been a genuine team game. Employees in the Foundation and our commercial subsidiary, advisers, partner organisations and supporters, volunteers and community members have all played a crucial role in the success of both the company and the Foundation.

Over the years there have been 21 Trustees of the Foundation, bringing an incredible range of skills and experience that has elevated our ambitions and supported the teams in both the Foundation and the company. 

All of our Trustees have provided their time and expertise for free, never receiving any financial benefit for their contribution as Trustees. 

Serving as a Trustee of a charity is a serious business, with significant responsibility and accountability. While many charities have commercial operations, there is no doubt that the scale and complexity of Raspberry Pi’s commercial business has placed significant additional responsibilities on all of our Trustees. 

I especially want to pay tribute to my predecessors as chair of the Board of Trustees: Jack Lang, one of our founding Trustees, who sadly passed away this year; and David Cleevely, who continues to support our work as a Member of the Foundation. Both Jack and David played a particularly important part in the success of Raspberry Pi. 

Welcoming our new Trustees

As we enter this new phase for the Foundation’s relationship with Raspberry Pi Holdings Ltd, we are delighted to welcome three new Trustees to the Board:

• Andrew Sliwinski is a VP at Lego Education, formerly co-director of Scratch @ MIT, ex-Mozilla, and founder of DIY.org. Andrew is a technologist and maker with a deep understanding of education systems globally.
• Laura Turkington leads global partnerships and programmes at EY, and was previously at Vodafone Foundation. Laura has extensive global experience (including Ireland and India), including supporting large-scale initiatives on digital skills, computing education, and AI literacy.
• Stephen Greene is the founder and CEO of Rockcorps and the former chair of the National Citizen Service. Stephen brings huge experience of building global volunteer movements, social enterprise, marketing (especially to young people), government relations, and education of disadvantaged youth.

The post A vote of thanks to our Trustees appeared first on Raspberry Pi Foundation.

Do you remember a time before social media? Mobile phones? Email? We are surrounded by digital technology, and new applications impact our lives whether we engage with them or not. Issue 24 of Hello World, out today for free, gives you ideas for how to help your learners think openly and critically about technology.

Teaching about the impact of technology 

For learners to become informed, empowered citizens, they need to understand the impact technology has on them as individuals, and on society as a whole. In our brand-new issue of Hello World, educators share insights from their work in and around classrooms that will help you engage your learners in learning about and discussing the impact of tech.

For example:

• Jasmeen Kanwal and the team at Data Education in Schools share their resources for how young people can start to learn the skills they need to change the world with data
• Julie York writes about how incorporating AI education into any classroom can help students prepare for future careers
• Ben Hall discusses whether technology is divisive or inclusive, and how you can encourage students to think critically about it

This issue also includes stories on how educators use technology to create a positive impact for learners:

• Yolanda Payne tells you how she’s using teaching experiences from the COVID-19 pandemic to bring better remote learning to communities in Georgia, USA, and in the US Virgin Islands
• Mitchel Resnick and Natalie Rusk from Lifelong Kindergarten group at MIT Media Lab introduce their new free mobile app, OctoStudio, and how it helps learners and educators in underresourced areas get creative with code

And there is lots more for you to discover in issue 24.

The issue also covers how you can make time to teach about the impact of technology in an already packed curriculum. Sway Grantham, Senior Learning Manager at the Raspberry Pi Foundation, says in her article:

“As adults, it is easy for us to see the impact technology has had on society and on our lives. Yet when I tell pupils that, within my lifetime, it wasn’t always illegal to hold your mobile phone to your ear and have a call while driving, they are horrified. They are living in the now and don’t yet have the perspective to allow them to see the change that has happened. However, knowing the impact of technology allows us to learn from previous mistakes, to make decisions around ethical behaviour (such as using a phone while driving), and to critically engage in real-world issues.

As teachers, allocating some time to this topic throughout the year can seem challenging, but with a few small changes, the impact might be more than you can imagine.”

Share your thoughts & subscribe to Hello World

With so many aspects of life impacted by technology, computing educators play a crucial role in supporting young people to become informed, empowered citizens. We hope you enjoy this issue of Hello World and find it useful in your teaching.

• Share your thoughts and ideas about the new issue and the topic on social media by tagging the Hello World Twitter/X or Facebook accounts
• Find out how you can write for the magazine
• Subscribe to Hello World for free to never miss an issue

The post Hello World #24 out now: Impact of tech appeared first on Raspberry Pi Foundation.

Our Coolest Projects 2024 online showcase has come to a close, with 7197 young people from 43 countries sharing the incredible things they have made with code. A huge congratulations to everyone who took part!

Coolest Projects is our annual global celebration of young digital creators and the cool things they make with technology. This year’s showcase featured 4678 amazing projects, from a doughnut clicker game created in Scratch to an app that tracks sunscreen usage and areas with high UV levels for users. 

This week, we celebrated each and every young creator and their incredible tech projects in a special livestream:

Every year, we invite some very special VIP judges to choose their favourite projects to highlight. Meet our 2024 judges and find out about the projects they picked.

Azra Ismail’s favourite projects

Azra is the co-founder of MakerGhat, an education nonprofit based in India that aims to nurture underserved youth to become the next generation of entrepreneurs and leaders. MakerGhat has reached around a million youth to date through hands-on making programmes. She is also an Assistant Professor at Emory University, where she directs the CARE Lab (Collective Action & Research for Equity). Azra was named in the Forbes 30 under 30 Asia list, and has previously worked with Google, the Wadhwani Institute for AI, and United Nations Global Pulse. She has a PhD in Human-Centered Computing and Bachelor’s in Computer Engineering from Georgia Tech. 

See Azra’s favourite projects:

• Advanced programming project WorkTunes by Qizhen from China
• Net Zero Home, a hardware project made by Reyansh, Advith, and Aditya in India
• Web project Igbo Language Project by Zihe in the USA
• Mobile app ShareWear created by Christina in Canada
• ArtHub made by Ada and Tingzhi from the USA, from the games category
• Scratch project Mental wellbeing 2 :) created by Sophie from the UK

Greg Foot’s favourite projects

Greg is an award-winning Science Presenter and Producer who has written and hosted a bunch of stuff on TV, YouTube, radio, and stage over the past 20 years. Greg has a BBC Radio 4 show called Sliced Bread that investigates whether wonder products like face creams and air fryers are indeed ‘the best thing since sliced bread’, or marketing hype. Greg regularly pops up on TV — he’s a regular on the BBC’s Morning Live and was the in-house science guy on Blue Peter and Sunday Brunch for many years. He’s also hosted multiple TV series, made live shows for families on YouTube (Let’s Go Live), and toured science theatre shows around the UK.

Take a look at Greg’s favourite projects:

• Advanced programming project Evolution Simulation made by Daniel, Anton, Finlay, and Connor in the UK
• Hardware project Imash (AI Water Dispenser) created by Lionel from Indonesia
• Coloring Pages Using Edge Detection created by Grace in the USA, from the web category
• Mobile app Allergen Alert: Food and Cosmetic Safety Tool by Anika in the USA
• Desktop Goose: Meme Defender, a game created by Joel from Indonesia
• Scratch project Guess The Country made by Lavitra from India

Natalie is the Executive Director of the App Inventor Foundation, a global nonprofit that has empowered over 20 million inventors of all ages to create over 100 million apps to improve their lives and uplift their communities. She received her PhD in ML and AI education from MIT’s Computer Science and Artificial Intelligence Lab, and currently serves as Expert on Mission at UNESCO to develop the UN’s AI Competency Framework for K-12 Students. 

See which projects Natalie chose as her favourites:

• Creating A Smart Pill Dispenser with AI Technology to Help Fight the Medication Nonadherence Problem With Raspberry Pi Technology, an advanced programming project by Andrew in the USA
• Hardware project Vim! created by Grace and Charles in Ghana
• Website for Recycling of School Uniform by Jing, Jack, and Arthur from China, from the web category
• OriPal, a mobile app made by Akari, Lila, and Lily from Japan
• Pose Estimation Single-player Squash Game by Lung Ngok in Hong Kong, from the games category
• Scratch project DUCK! (yes, in all caps) created by Abby in the USA

Selin Ornek’s favourite projects

Selin is a 17-year-old multi-award winner and changemaker who has been passionate about using tech for good since an early age. She taught herself to code at age 8 and started building robots at 10, and participated in Coolest Projects for many years. She has built seven robots to date, including the social good robot iC4U, a robot guide dog for visually impaired people, and BB4All, an anti-bullying school aid robot. She has also built a stray dog wellbeing app, JAVA, and an AI model for breast cancer diagnosis. Her aim is to inspire young people, especially girls, to see the fun and importance of using tech for good.

Selin’s favourite projects are:

• Advanced programming project ROBO GREENY from Andrei in Romania
• MicroBit BitBot Controller, a hardware project made by Shivam from the UK
• Web extension Multi-Lingual Input Tools created by Sai in the USA
• Mobile app Pocket Doc. by Arjun from Ireland
• Vamoose made by Allison and Isabel from the USA, from the games category
• Imma Time-Loop, a Scratch project by Muhammad from Indonesia

Broadcom Coding with Commitment® award

We partnered with Broadcom Foundation to give a special award to young creators using coding and computing to solve real-world problems that matter to their communities. Broadcom Coding with Commitment® is a special recognition for a Coolest Projects creator aged 11–14 who has used computing as an essential problem-solving tool to help those around them.

This year’s Broadcom Coding with Commitment® recipients are Naitik, Shravasti, and Nikita from India in recognition of their project Drainage alert system. Their thoughtful project uses a water flow sensor connected to a Raspberry Pi computer to detect when waste enters the drainage system and causes blockages and send an alert to the local council.

Get inspired and keep creating!

Now you’ve seen the judges’ favourite projects, it’s time to pick your own! Take a look at the Coolest Projects 2024 online showcase gallery to see all the amazing projects from young people all over the world, and get inspired to make your own.

Participants will shortly receive their own unique certificates and the personalised feedback on their projects from our team of judges, to celebrate their achievements.

Support from our Coolest Projects sponsors means we can make the online showcase and celebration livestream an inspiring experience for the young people taking part. We want to say a big thank you to all of them: Amazon Future Engineer, Broadcom Foundation, GoTo, Kingston Technology, Meta, and Qube Research & Technologies.

The post Coolest Projects 2024: 7197 young tech creators showcase their projects online appeared first on Raspberry Pi Foundation.

Today our friends Mitch Resnick and Natalie Rusk from MIT’s Lifelong Kindergarten group tell you about OctoStudio, their free mobile app for children to create with code. Find their companion article for teachers in the upcoming issue of Hello World magazine, out for free on Monday 1 July.

When people see our new OctoStudio coding app, they often say that it reminds them of Scratch, the world’s most popular coding platform for kids. That’s not surprising, since the group of us developing OctoStudio were also involved in creating Scratch, with its distinctive building-block approach to programming. But there’s an important difference.

The difference is that we designed OctoStudio specifically for mobile phones and tablets, based on requests from educators in communities where children and families don’t have access to laptops and desktop computers, but do have access to mobile devices. 

OctoStudio takes advantage of special features of mobile phones and tablets, such as built-in sensors, so young people can create projects that respond to shaking or tilting, or even ‘beam’ signals between devices. And because of the small size of mobile devices, children and families can create projects anytime anywhere, and integrate digital coding with physical making.

OctoStudio makes it easy for beginners to start creating. Children can choose a character from a diverse collection of emojis, draw their own in the OctoStudio paint editor, or take and edit a photo. With just a couple coding blocks, they can make their characters move, jump, speak, or glow — and respond to shaking, tilting, or tapping on the phone or tablet:

Since our Lifelong Kindergarten group at the MIT Media Lab launched OctoStudio as a free app in October 2023, we’ve been delighted by the creativity and diversity of projects that children around the world have created with OctoStudio. As examples, we’d like to share with you three different projects from three different continents.

Getting active with OctoStudio 

When Xavier, a 10-year-old in Rwanda, started using OctoStudio, he was intrigued with the ‘When I shake’ block. He realized that he could create a step tracker project, by sensing how the phone shook each time he took a step. 

From the emoji library in OctoStudio, Xavier selected a rabbit, and he programmed it to grow a little bit each time he took a step. The more steps, the bigger the rabbit. To test the project, Xavier ran around in a circle. When he looked at the rabbit again, he saw how big it had grown and exclaimed: “Now it’s mega huge!” After finishing his project, Xavier made and posted a video tutorial to show others how to make their own step tracker using only 5 coding blocks.

Making creatures come to life on screen

One popular way to get started with OctoStudio is to make a favorite animal out of craft materials, take a photo of it, then bring your creation to life on the screen with OctoStudio coding blocks. As part of the Brazilian Creative Learning Network, educators Renato Barboza and Simone Lederman offer creative learning workshops in which children design creatures using a combination of natural materials and modeling clay. In these ‘fantastical creatures’ workshops, facilitators ask questions to encourage participants to design not only the creatures, but also develop ideas about how their creatures interact within their environment.

For example, two sisters created imaginary creatures, one with long sticks for arms, the other with big eyes and wings made from leaves. The sisters then took photos and made their creatures come to life in OctoStudio, making them jump, glow, and fly. They recorded sounds and explained more about their creatures, including where they live and what they like to eat.

Beaming between devices

OctoStudio also opens up the possibility of projects involving multiple mobile devices, using the new ‘beam’ block to send signals between the devices (via Bluetooth). For example, children can make a character in a story or game look like it’s jumping from one device to another by sending a beam signal when the character reaches the edge of the screen.

Thawin, an elementary school student in Thailand, decided to use the ‘beam’ block to create a project about caring for the environment. He embedded one tablet in a cardboard cutout of a watering can, and programmed it to beam a signal each time he shook it as if he were sprinkling water. Then, he added a tree emoji to another tablet, and programmed the tree to grow each time it received a beam signal. He proudly shared his project with his classmates: each time someone shook the watering can, the tree grew.

Get started with OctoStudio

To get started with OctoStudio, you can download it for free from app stores for Android and iOS phones and tablets. The app is translated into more than 25 languages, and comes with sample projects and mini-tutorials. 

Here are some resources for learning and exploring more:

• The octostudio.org website provides a reference guide and FAQ
• The OctoStudio channel on YouTube offers a variety of inspiring tutorials and examples
• For project ideas using physical materials, visit OctoStudio Explorations from the Tinkering Studio
• For updates, sign up for the OctoStudio mailing list

You can share your OctoStudio stories, photos, and videos on social media using @octostudioapp or #octostudio. We can’t wait to hear about your and your children’s experiences!

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We are working with two partner organisations in Odisha, India, to develop and roll out the IT & Coding Curriculum (Kaushali), a computing curriculum for government high schools. Last year we launched the first part of the curriculum and rolled out teacher training. Read on to find out what we have learned from this work.

Supporting government schools in Odisha to teach computing

Previously we shared an insight into how we established Code Clubs in Odisha to bring computing education to young people. Now we are partnering with two Indian civil society organisations to develop high school curriculum resources for computing and support teachers to deliver this content.

With our two partners, we trained 311 master teachers during July and August 2023. The master teachers, most often mathematics or science teachers, were in turn tasked with training teachers from around 8000 government schools. The aim of the training was to enable the 8000 teachers to deliver the curriculum to grades 9 and 10 in the June 2023 – April 2024 academic year.

At the Foundation, we have been responsible for providing ongoing support to 1898 teachers from 10 districts throughout the academic year, including through webinars and other online and in-person support.

To evaluate the impact our work in Odisha is having, we gathered data using a mixed-methods approach that included gathering feedback from teachers via surveys and interviews, visiting schools, capturing reflections from our trainers, and reviewing a sample of students’ projects.

Positive impact on teachers and students

In our teacher survey, respondents were generally positive about the curriculum resources:

• 87% of the 385 respondents agreed that the curriculum resources were both high quality and useful for their teaching
• 91% agreed that they felt more confident to teach students IT & Coding as a result of the curriculum resources

Teachers also tended to agree that the initial training had helped improve their understanding and confidence, and they appreciated our ongoing support webinars.

“The curriculum resources are very useful for students.” – Teacher in Odisha

“The webinar is very useful to acquire practical knowledge regarding the specific topics.”  – Teacher in Odisha

Teachers who responded to our survey observed a positive impact on students:

• 93% agreed their students’ digital literacy skills had improved
• 90% agreed that their students’ coding knowledge had improved

Students’ skills were also demonstrated by the Scratch projects we reviewed. And students from Odisha shared 314 projects in Coolest Projects — our online technology showcase for young people — including the project ‘We’ll build a new Odisha’ and an apple catching game.

Feedback and observations about teacher training

On school visits, our team observed that the teachers adopted and implemented the practical elements of the initial training quite well. However, survey responses and interviews showed that often teachers were not yet using all the elements of the curriculum as intended.

In their feedback, many teachers expressed a need for further regular training and support, and some reported additional challenges, such as other demands on their time and access to equipment.

When we observed training sessions master teachers delivered to teachers, we saw that, in some cases, information was lost within the training cascade (from our trainers, to master teachers, to teachers), including details about the intended pedagogical approach. It can be difficult to introduce experienced teachers to new pedagogical methods within a short training session, and teachers’ lack of computing knowledge also presents a challenge.

We will use all this data to shape how we support teachers going forward. Some teachers didn’t share feedback, and so in our further evaluation work, we will focus on making sure we hear a broad and representative range of teachers’ views and experiences.

What’s new this year?

In the current academic year, we are rolling out more advanced curriculum content for grade 10 students, including AI literacy resources developed at the Foundation. We’re currently training master teachers on this content, and they will pass on their knowledge to other teachers in the coming months. Based on teachers’ feedback, the grade 10 curriculum and the training also include a recap of some key points from the grade 9 curriculum.

A State Resource Group (SRG) has also been set up, consisting of 30 teachers who will support us with planning and providing ongoing support to master teachers and other teachers in Odisha. We have already trained the SRG members on the new curriculum content to enable them to best support teachers across the state. In addition to this, our local team in Odisha plans to conduct more visits and reach out directly to teachers more often. 

Our plans for the future

The long-term vision for our work in India is to enable any school in India to teach students about computing and creating with digital technologies. A critical part of achieving this vision is the development of a comprehensive computing curriculum for grade 6 to 12, specifically tailored for government schools in India. Thanks to our work in Odisha, we are in a better position to understand the unique challenges and limitations of government schools. We’re designing our curriculum to address these challenges and ensure that every Indian student has the opportunity to thrive in the 21st century. If you would like to know more about our work and impact in India, please reach out to us via [email protected].

We take evaluation of our work seriously and are always looking to understand how we can improve and increase the impact we have on the lives of young people. To find out more about our approach to impact, you can read about our recently updated theory of change, which supports how we evaluate what we do.

The post Introducing a computing curriculum in Odisha appeared first on Raspberry Pi Foundation.

Today, Laura James, Head of Computing and ICT at King Edward’s School in Bath, UK, shares how Experience AI has transformed how she teaches her students about artificial intelligence. This article will also appear in issue 24 of Hello World magazine, which will be available for free from 1 July and focuses on the impact of technology.

I recently delivered Experience AI lessons to three Year 9 (ages 13–14) classes of about 20 students each with a ratio of approximately 2:3 girls to boys. They are groups of keen pupils who have elected to study computing as an option. The Experience AI lessons are an excellent set of resources.

Everything you need

Part of the Experience AI resources is a series of six lessons that introduce the concepts behind machine learning and artificial intelligence (AI). There are full lesson plans with timings, clear PowerPoint presentations, and activity sheets. There is also an end-of-topic multiple choice assessment provided.

Accompanying these are interesting, well-produced videos that underpin the concepts, all explained by real people who work in the AI industry. Plus, there are helpful videos for the educators, which explain certain parts of the scheme of work — particularly useful for parts that might have been seen as difficult for non-specialist teachers, for example, setting up a project using the Machine Learning for Kids website.

Confidence delivering lessons

The clear and detailed resources meant I felt mostly confident in delivering lessons. The suggested timings were a good guideline, although in some lessons, this did not always go to plan. For example, when the pupils were enjoying investigating websites that produce images generated by a text prompt, they were keen to spend more time on this than was allocated in the lesson plan. In this case, I modified the timings on the fly and set the final task of this lesson as a homework task.

Learning about AI sparked the students’ curiosity, and it triggered a few questions that I could not answer immediately. However, I admitted this was a new area for me, and with some investigation, found answers to many of their extra questions. This shows that the topic of AI is such an inspiring and important one for the next generation, and how important it is to add this to the curriculum now before students make their own, potentially biased, opinions about it.

“I’ve enjoyed actually learning about what AI is and how it works because before I thought it was just a scary computer that thinks like a human.” – Student, King Edward’s School, UK 

Impact on learners

The pupils’ feedback from the series of lessons was unerringly positive. I felt the lessons on bias in data were particularly important. The lesson where they trained their own algorithm recognising tomatoes and apples was a key one as it gave students an immediate sense of how a flawed training data set created bias and can impact the answers from a supposedly intelligent AI tool. I hope this has changed their outlook on AI-generated results and reinforced their critical thinking skills.

Many students are now seeing the influence of AI appearing in more and more tools around them and have mentioned that a career in AI is now something they are interested in.

“I have enjoyed learning about how AI is actually programmed rather than just hearing about how impactful and great it could be.” – Student, King Edward’s School, UK 

Tips for other teachers

Clearly this topic is incredibly important, and the Experience AI series of lessons is an excellent introduction to this for key stage 3 students (ages 11–14). My tips for other educators would be:

• I delivered these to bright Year 9s and added a few more coding activities from the Machine Learning for Kids website. As these lessons stand, they could be delivered to Year 8s (ages 12–13), but perhaps Year 7s (ages 11–12) might struggle with some of the more esoteric concepts.

• Before each lesson, ensure you read the content and familiarise yourself with the lesson resources and tools used. The Machine Learning for Kids website can take a little getting used to, but it is a powerful tool that brings to life how machine learning works, and many pupils said this was their favourite part of the lessons.

• Before the lesson, ensure that the websites that you need to access are unblocked by your school’s firewall!

• I tried to add a hands-on activity each lesson, e.g. for Lesson 1, I showed the students Google’s Quick, Draw! game, which they enjoyed and has a good section on the training data used to train the AI tool to recognise the drawings.

• We also spent an extra lesson using the brilliant Machine Learning for Kids website and followed the ‘Shoot the bug’ worksheet, which allowed pupils to train an algorithm to learn how to play a simple video game.

• I also needed to have a weekly homework task, so I would either use part of the activity from the lesson or quickly devise something (e.g. research another use for AI we haven’t discussed/what ethical issues might occur with a certain use of AI). Next year, our department will formalise these to help other teachers who might deliver these lessons to set these tasks more easily.

• Equally, I needed to have a summative assessment at the end of the topic. I used some of the multiple choice questions that were provided but added some longer-answer questions and made an online assessment to allow me to mark students’ answers more efficiently.

“I have always been fascinated by AI applications and finally finding out how they work and make the decisions they do has been a really cool experience.” – Student, King Edward’s School, UK 

From comments I have had from the students, they really engaged with the lessons and appreciated the opportunity to discuss and explore the topic, which is often associated with ‘deception’ within school. It allowed them to understand the benefits and the risks of AI and, most importantly, to begin to understand how it works ‘under the hood’, rather than see AI as a magical, anthropomorphised entity that is guessing their next move.

“The best part about learning about AI was knowing the dangers and benefits associated and how we can safely use it in our day-to-day life.” – Student, King Edward’s School, UK 

As for my perspective, I really enjoyed teaching this topic, and it has earned its place in the Year 9 scheme of work for next year. 

If you’re interested in teaching the Experience AI Lessons to your students, download the resources for free today at experience-ai.org.

The post A teacher’s guide to teaching Experience AI lessons appeared first on Raspberry Pi Foundation.

Across Europe and beyond, teams of young people are receiving data from the International Space Station (ISS) this week. That’s because they participated in the annual European Astro Pi Challenge, the unique programme we deliver in collaboration with ESA Education to give kids the chance to write code that runs in space.

In this round of Astro Pi, over 26,400 young people took part across its two missions — Mission Space Lab and Mission Zero — and had their programs run on the Raspberry Pi computers on board the ISS.

Mission Space Lab teams find out the speed of the ISS

In Mission Space Lab, we asked young people to team up and write code to collect data on the ISS and calculate the speed at which the ISS is travelling. 236 teams wrote programs that passed all our tests and achieved flight status to run in space. And not only will the Mission Space Lab teams receive their participation certificates this week — they’ll also receive the data their programs captured on the ISS.

Many teams chose a feature extraction method to calculate the ISS’s speed, identifying two points on Earth from which to calculate the distance the ISS travelled over time. Using this method means using the high-quality camera on the Astro Pi computer to take some fantastic photos of Earth from the ISS’s World Observation Research Facility (WORF) window. Teams will receive these photos soon, which are unique views of Earth from space.

How fast does the ISS travel? 

The actual speed that the ISS is travelling in space while at normal altitude is 7.66km/s. Its altitude can affect the speed, so it can vary, but the ISS’s boosters fire up if it dips too low.

To help teams with writing programs that can adapt to some of these variances, and to show them the type data they can collect, we gave them a programming tool we call Astro Pi Replay. Using this tool, teams can simulate how their program would run on the Astro Pi computers up in space.

This is the first time we asked Mission Space Lab teams to focus on a particular scientific question. So how did they do? The graph below shows some of the speeds that teams’ programs estimated. 

As you can see, a variety of speeds were estimated, but the average is fairly close to the ISS’s actual speed. Teams did a great job trying to solve the question and working like real space scientists. Once they receive their data this week, they can check how accurate their speed estimate was.

Mission Zero pixel art lights up astronauts’ daily tasks 

In Astro Pi Mission Zero, a coding activity suitable for beginners, 16,039 teams of young people created code to make pixel art inspired by nature. Nearly half (44%) of the 24,409 participants were girls! 15,942 of the Mission Zero teams had their code run on the ISS after we checked that it followed the rules.

Every team whose program ran on the ISS — with their pixel art showing for the astronauts to see as they worked — will receive certificates with the time, date, and location coordinates of their Mission Zero run. 

We’ve been so impressed with this year’s pixel art creations that we’ve picked some as new examples for next year’s Mission Zero coding guide. That means young people will be able to choose one of a few pixel images to start with and recreate or remix them for their program. More info on that is coming soon, sign up to the Astro Pi newsletter to not miss it.

Let’s get ready for September

Thank you and congratulations to everyone who took part in the missions this year, and our special thanks to all the amazing educators who ran Astro Pi activities with young people.

For us, there is much to reflect on and celebrate from this year’s challenge. We’ve had the chance to run Mission Zero with young people in person and identify a few changes to help make the activity easier. As Mission Space Lab now involves simulating programs running on the ISS with our new Astro Pi Replay tool, we’ll be exploring how to improve this as well.

We hope to engage lots of previous and new participants in the Astro Pi Challenge when it starts up again in September. Sign up for the newsletter on astro-pi.org to be the first to hear about the new round.

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Generative artificial intelligence (AI) tools are becoming more easily accessible to learners and educators, and increasingly better at generating code solutions to programming tasks, code explanations, computing lesson plans, and other learning resources. This raises many questions for educators in terms of what and how we teach students about computing and AI, and AI’s impact on assessment, plagiarism, and learning objectives.

We were honoured to have Professor Brett Becker (University College Dublin) join us as part of our ‘Teaching programming (with or without AI)’ seminar series. He is uniquely placed to comment on teaching computing using AI tools, having been involved in many initiatives relevant to computing education at different levels, in Ireland and beyond.

Brett’s talk focused on what educators and education systems need to do to prepare all students — not just those studying Computing — so that they are equipped with sufficient knowledge about AI to make their way from primary school to secondary and beyond, whether it be university, technical qualifications, or work.

How do AI tools currently perform?

Brett began his talk by illustrating the increase in performance of large language models (LLMs) in solving first-year undergraduate programming exercises: he compared the findings from two recent studies he was involved in as part of an ITiCSE Working Group. In the first study — from 2021 — the results generated by GPT-3 were similar to those of students in the top quartile. By the second study in 2023, GPT-4’s performance matched that of a top student (Figure 1).

Figure 1: Student scores on Exam 1 and Exam 2, represented by circles. GPT-3’s 2021 score is represented by the blue ‘x’, and GPT-4’s 2023 score on the same questions is represented by the red ‘x’.

Brett also explained that the study found some models were capable of solving current undergraduate programming assessments almost error-free, and could solve the Irish Leaving Certificate and UK A level Computer Science exams.

What are challenges and opportunities for education?

This level of performance raises many questions for computing educators about what is taught and how to assess students’ learning. To address this, Brett referred to his 2023 paper, which included findings from a literature review and a survey on students’ and instructors’ attitudes towards using LLMs in computing education. This analysis has helped him identify several opportunities as well as the ethical challenges education systems face regarding generative AI. 

The opportunities include: 

• The generation of unique content, lesson plans, programming tasks, or feedback to help educators with workload and productivity
• More accessible content and tools generated by AI apps to make Computing more broadly accessible to more students
• More engaging and meaningful student learning experiences, including using generative AI to enable creativity and using conversational agents to augment students’ learning
• The impact on assessment practices, both in terms of automating the marking of current assessments as well as reconsidering what is assessed and how

Some of the challenges include:

• The lack of reliability and accuracy of outputs from generative AI tools
• The need to educate everyone about AI to create a baseline level of understanding
• The legal and ethical implications of using AI in computing education and beyond
• How to deal with questionable or even intentionally harmful uses of AI and mitigating the consequences of such uses

Programming as a basic skill for all subjects

Next, Brett talked about concrete actions that he thinks we need to take in response to these opportunities and challenges. 

He emphasised our responsibility to keep students safe. One way to do this is to empower all students with a baseline level of knowledge about AI, at an age-appropriate level, to enable them to keep themselves safe. 

He also discussed the increased relevance of programming to all subjects, not only Computing, in a similar way to how reading and mathematics transcend the boundaries of their subjects, and the need he sees to adapt subjects and curricula to that effect. 

As an example of how rapidly curricula may need to change with increasing AI use by students, Brett looked at the Irish Computer science specification for “senior cycle” (final two years of second-level, ages 16–18). This curriculum was developed in 2018 and remains a strong computing curriculum in Brett’s opinion. However, he pointed out that it only contains a single learning outcome on AI. 

To help educators bridge this gap, in the book Brett wrote alongside Keith Quille to accompany the curriculum, they included two chapters dedicated to AI, machine learning, and ethics and computing. Brett believes these types of additional resources may be instrumental for teaching and learning about AI as resources are more adaptable and easier to update than curricula. 

Generative AI in computing education

Taking the opportunity to use generative AI to reimagine new types of programming problems, Brett and colleagues have developed Promptly, a tool that allows students to practise prompting AI code generators. This tool provides a combined approach to learning about generative AI while learning programming with an AI tool. 

Promptly is intended to help students learn how to write effective prompts. It encourages students to specify and decompose the programming problem they want to solve, read the code generated, compare it with test cases to discern why it is failing (if it is), and then update their prompt accordingly (Figure 2). 

Figure 2: Example of a student’s use of Promptly.

Early undergraduate student feedback points to Promptly being a useful way to teach programming concepts and encourage metacognitive programming skills. The tool is further described in a paper, and whilst the initial evaluation was aimed at undergraduate students, Brett positioned it as a secondary school–level tool as well. 

Brett hopes that by using generative AI tools like this, it will be possible to better equip a larger and more diverse pool of students to engage with computing.

Re-examining the concept of programming

Brett concluded his seminar by broadening the relevance of programming to all learners, while challenging us to expand our perspectives of what programming is. If we define programming as a way of prompting a machine to get an output, LLMs allow all of us to do so without the need for learning the syntax of traditional programming languages. Taking that view, Brett left us with a question to consider: “How do we prepare for this from an educational perspective?”

You can watch Brett’s presentation here:

Join our next seminar

The focus of our ongoing seminar series is on teaching programming with or without AI. 

For our next seminar on Tuesday 11 June at 17:00 to 18:30 GMT, we’re joined by Veronica Cucuiat (Raspberry Pi Foundation), who will talk about whether LLMs could be employed to help understand programming error messages, which can present a significant obstacle to anyone new to coding, especially young people.  

To take part in the seminar, click the button below to sign up, and we will send you information about how to join. We hope to see you there.

The schedule of our upcoming seminars is online. You can catch up on past seminars on our blog and on the previous seminars and recordings page.

The post Imagining students’ progression in the era of generative AI appeared first on Raspberry Pi Foundation.

Following the huge success of last year’s Clubs Conference, we are delighted to announce that we will be hosting the second-ever Clubs Conference on Saturday 30 November and Sunday 1 December 2024 in Cambridge, UK.

The event will be a weekend of learning and connecting for volunteers and educators involved in Code Club, CoderDojo, and other initiatives we support. We’d love for you to join us!

What you can look forward to

This year, we’re bringing the conference home to our offices in the centre of Cambridge.

On Friday 29 November, you’ll have the opportunity to register early and attend an informal networking event with community members, including the Foundation team. 

Saturday 30 November and Sunday 1 December will be filled with learning and development opportunities for you, including:

• Thought-provoking talks and discussions
• Hands-on, easy-to-follow workshops exploring a range of coding and digital making activities and related topics
• Opportunities to connect with a diverse range of volunteers and educators

Join us to learn from your peers running clubs in various contexts, develop your digital making skills, and share your own insights. We look forward to learning with you.

Interested in attending or contributing to the Clubs Conference?

If you think you might want to attend the Clubs Conference, please fill in our form to express your interest. We will then get in touch when you can book your tickets. Tickets will be £5 for both days combined.

Part of what made last year’s Clubs Conference so special was the range of exciting activities led by community members. If you’d like to host or co-host an activity this year, please also indicate this in the expression of interest form. We’ll be in touch in a few weeks to ask you more about your plans.

Possible activities include:

• Workshops
• Discussion sessions
• Talks
• Project demonstrations

Check out last year’s talks for inspiration.

Bursaries for participants

If you would love to participate but you feel the costs of travelling would prevent you, you may be able to apply for a travel bursary. 

To be eligible for a bursary, you need to:

• Be registered as a club leader or volunteer at a Code Club or CoderDojo
• Be available to attend the Clubs Conference in Cambridge on both Saturday 30 November and Sunday 1 December 2024

Please let us know whether you require a travel bursary when you fill in the expression of interest form.

If have any questions about bursaries or travel, please send us a message through our contact page using the subject ‘Clubs Conference’.

If you have any suggestions about the Clubs Conference, we’d love to hear them. Let us know through the contact page, or on social with the tag #ClubsCon24.

The post The Clubs Conference is coming back appeared first on Raspberry Pi Foundation.

On 22 May 2024, we announced that we are intending to list the Foundation’s commercial subsidiary, Raspberry Pi Ltd, on the Main Market of the London Stock Exchange. This is called an Initial Public Offering (IPO). 

The IPO process is — quite rightly — highly regulated, and information about the company and the potential listing can be found on the Investor Portal on Raspberry Pi Ltd’s website. If that’s what you’re looking for, head there. 

In this blog post, I want to explain what an IPO of Raspberry Pi Ltd would mean for the Raspberry Pi Foundation. 

A tale of two Raspberry Pis

The Raspberry Pi Foundation was founded in 2008 as a UK-based educational charity. Our co-founders wanted to inspire more young people to explore the joys of coding and creating with technology, with the goal of increasing both the number and diversity of kids choosing to study computer science and engineering.

Their idea was to create a low-cost, programmable computer that could rekindle some of the excitement sparked in young minds at the start of the personal computing revolution by platforms like the BBC Micro and ZX Spectrum (incidentally also invented in Cambridge, UK). 

Raspberry Pi Ltd was incorporated in 2012 as the commercial subsidiary of the Foundation and is responsible for all aspects of design, production, and distribution of Raspberry Pi computers and associated technologies. It has always been a commercial company, albeit one that was initially wholly owned by a charity. 

It’s fairly common for UK charities to have subsidiaries that handle their commercial activities. Guidance from the regulator, the Charity Commission, explains that it helps protect the charity’s assets and ensures that the charity benefits from tax relief on profits that are generated from commercial activities and used to advance the charity’s objectives.

So Raspberry Pi has pretty much always been a tale of two organisations: the Foundation, which is a charity, and Raspberry Pi Ltd, which is a commercial company. While we are legally and practically separate organisations, we are united by a mission to democratise computing, and by a set of values that reflect the community of makers, engineers, and educators that have always been such a central part of the Raspberry Pi story.

Computing for everybody

In the years since the launch of the first Raspberry Pi computer in 2012, Raspberry Pi Ltd has continued to innovate and expand its range of products, evolving into a leading provider of high-performance, single-board computers and associated technologies for industrial and embedded uses, as well as for enthusiasts and educators, in markets worldwide. For more information on the company and all it has achieved, you should take a look at the Investor Portal.

For me, one of the most important things about a Raspberry Pi computer is that kids are learning to code on the same platform that is used by the world’s leading engineers and scientists. It’s not a toy, although it is a lot of fun. 

Crucially, the commitment to low-cost computing that was at the heart of Raspberry Pi’s founding ethos remains unchanged and has been enshrined in a legally binding agreement between the Foundation and the company. This means that Raspberry Pi will always produce low-cost, general-purpose computers that can be used for teaching and learning.

Over that same period, the Foundation has innovated and expanded its educational products and learning experiences to the point where we are now widely recognised as one of the world’s leading contributors to the democratisation of computing education. 

We create curricula and classroom resources that are used in schools all over the globe, covering everything from basic digital skills to computer science and AI literacy. We provide high-quality professional development for teachers and we build software tools that reduce barriers, save time, and improve learning outcomes. We also support the world’s largest network of free coding clubs and inspire young people to get creative with tech through showcases and challenges. All of this is completely free for teachers and students wherever they are in the world. 

We are also advancing the field of computing education through undertaking original research and translating evidence of what works into practice.

Importantly, the Foundation is device- and platform-agnostic. That means that, while Raspberry Pi computers make a huge contribution to our educational mission, you don’t need to use a Raspberry Pi computer to engage with our learning experiences and resources. 

The next stage of growth and impact

The proposed IPO is all about securing the next stage of growth and impact for both the Foundation and the commercial company. 

To date, Raspberry Pi Ltd has donated nearly $50m from its profits to the Foundation, which we have used to advance our educational mission combined with over $60m in funding from philanthropy, sponsorship, and contracts for educational services.

As the company has continued to grow, it has needed working capital and funding to invest in innovation and product development. Over the past few years that has mainly come from retained profits. Listing Raspberry Pi Ltd on a public market will enable the company to raise additional capital through issuing new shares, which will lead to broader reach, greater impact, and ultimately more value being created for the benefit of all shareholders, including the Foundation.

From the Foundation’s perspective, an IPO provides us with the ability to sell some of our shares to raise money to finance a sustainable expansion of our educational activities. Put simply, instead of receiving a share of the company’s profits each year, we will convert some of our shareholding into an endowment that we will use to fund our educational programmes.

What happens after the IPO? 

Assuming we proceed with the IPO, what is now Raspberry Pi Ltd will become a public company that trades its shares on the Main Market of the London Stock Exchange. 

The Foundation will remain a significant shareholder and we will continue to share the Raspberry Pi brand. We will be involved in decision making on the same basis as all other shareholders. Our goal will be to support the company to be as successful as possible in its mission to make computing accessible and affordable for everybody.

The Foundation will use any funds that we raise through the sale of shares at the IPO — or subsequently — to advance our ambitious global strategy to enable every young person to realise their full potential through the power of computing and digital technologies.

Partnership will continue to be at the heart of our strategy and we will work closely with businesses, foundations, and governments to ensure that our work reaches as many teachers and young people as possible. Our ambition is that around 50% of our activities will be funded from the endowment and 50% through partnerships and donations, enabling us to reach many more teachers and students by combining our resources and expertise with those of the many partners who share our mission.

Creating a lasting legacy 

Whatever happens with the IPO, Raspberry Pi has already had a huge impact on the world. It’s been an enormous privilege to be part of the journey so far, and I am hugely excited about the potential of this next phase.

I want to pay tribute to all of our co-founders for setting us off on this great adventure, and particularly to Jack Lang, who very sadly passed away earlier this month. Jack made an exceptional and unique contribution to the Raspberry Pi story, and he deserves to go down in history as one of the most significant figures in computing education in the UK. I know he would have shared my excitement about this next chapter in the Raspberry Pi story. 

With the pace of technological advances in fields like AI, our mission has never been more vital. We have the potential to positively impact the lives of tens of millions of young people who might otherwise miss out on the opportunity to change the world for the better through technology.

The post What would an IPO mean for the Raspberry Pi Foundation? appeared first on Raspberry Pi Foundation.

I’m excited to announce that we’re developing a new set of Code Editor features to help school teachers run text-based coding lessons with their students.

New Code Editor features for teaching

Last year we released our free Code Editor and made it available as an open source project. Right now we’re developing a new set of features to help schools use the Editor to run text-based coding lessons online and in-person.

The new features will enable educators to create coding activities in the Code Editor, share them with their students, and leave feedback directly on each student’s work. In a simple and easy-to-use interface, educators will be able to give students access, group them into classes within a school account, and quickly help with resetting forgotten passwords.

We’re adding these teaching features to the Code Editor because one of the key problems we’ve seen educators face over the last few months has been the lack of an ideal tool to teach text-based coding in the classroom. There are some options available, but they can be cost-prohibitive for schools and educators. Our mission is to support young people to realise their full potential through the power of computing, and we believe that to tackle educational disadvantage, we need to offer high-quality tools and make them as accessible as possible. This is why we’ll offer the Code Editor and all its features to educators and students for free, forever.

Alongside the new classroom management features, we’re also working on improved Python library support for the Code Editor, so that you and your students can get more creative and use the Editor for more advanced topics. We continue to support HTML, CSS, and JavaScript in the Editor too, so you can set website development tasks in the classroom.

Educators have already been incredibly generous in their time and feedback to help us design these new Code Editor features, and they’ve told us they’re excited to see the upcoming developments. Pete Dring, Head of Computing at Fulford School, participated in our user research and said on LinkedIn: “The class management and feedback features they’re working on at the moment look really promising.” Lee Willis, Head of ICT and Computing at Newcastle High School for Girls, also commented on the Code Editor: “We have used it and love it, the fact that it is both for HTML/CSS and then Python is great as the students have a one-stop shop for IDEs.”

Our commitment to you

• Free forever: We will always provide the Code Editor and all of its features to educators and students for free.
• A safe environment: Accounts for education are designed to be safe for students aged 9 and up, with safeguarding front and centre.
• Privacy first: Student data collection is minimised and all collected data is handled with the utmost care, in compliance with GDPR and the ICO Children’s Code.
• Best-practice pedagogy: We’ll always build with education and learning in mind, backed by our leading computing education research.
• Community-led: We value and seek out feedback from the computing education community so that we can continue working to make the Code Editor even better for teachers and students.

Get started

We’re working to have the Code Editor’s new teaching features ready later this year. We’ll launch the setup journey sooner, so that you can pre-register for your school account as we continue to work on these features.

Before then, you can complete this short form to keep up to date with progress on these new features or to get involved in user testing.

The Code Editor is already being used by thousands of people each month. If you’d like to try it, you can get started writing code right in your browser today, with zero setup.

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Through Code Club and CoderDojo we support the world’s largest network of free informal computing clubs for young people.

• Code Club is a global network of after-school coding clubs for learners aged 9 to 13, where educators and other volunteers help young people learn about coding and digital making
• CoderDojo is a worldwide network of free, open, and community-based programming clubs for young people aged 7 to 17, where they get the opportunity to learn how to create fantastic new things with technology

The clubs network reaches young people in 126 countries across the globe, and we estimate that the 4,557 Code Clubs and 771 CoderDojos are attended by more than 200,000 young people globally. 

All these clubs are run by incredible volunteers and educators who help young people to learn computing and coding. Every year, we ask the volunteers to tell us about their experiences in our annual clubs survey. Below we share some highlights from this year’s survey results.

About the survey

We want to know more about volunteers in the network, how they run their clubs, and what impact the club sessions have for young people. Understanding this better helps us to improve the support we give to volunteers and young people around the world. This year we received over 300 responses, which has given us valuable insights and feedback.

What are the clubs like?

Improving gender balance in computing is part of our work to ensure equitable learning opportunities for all young people. Girls’ participation in the CodeDojo community has risen from 30% to 35% between 2023 and 2024, while 40% of Code Club attendees are girls.

Clubs are using a wide variety of technologies and tools to support young people with their coding. According to the survey, the most popular coding tool was Scratch, which nearly all of the volunteers said they used in their club. Over 60% of volunteers reported using micro:bits, and over 50% mentioned Python.

What impact is the clubs network having?

We asked volunteers to tell us what changes they had seen in young people as a result of being part of a club. Volunteers fed back to us about the positive community created by clubs where young people felt safe and included. This was evidenced by the way young people felt able to share their ideas and support other young people:

“The more experienced members are both capable and competent to demonstrate their skills to less experienced children. For example, they recently ran a full-day session for the whole school to complete the Astro Pi Mission Zero project.” – Code Club volunteer

Volunteers reported increases in young people’s skills and confidence in digital making and engaging with technology (see graph below). They also agreed that young people developed other skills, with nearly 90% noting improvements in problem solving, personal confidence, and creative thinking.

How are we supporting volunteers?

These positive outcomes are the result of the hard work and dedication of the club volunteers. Based on the survey, we estimate that at the time of the survey, there were over 6000 Code Club leaders and almost 3000 CoderDojo champions around the world. Many of the volunteers are motivated to volunteer by a love of teaching and a desire to pass on their skills.

These volunteers are part of a global network, and 80% of volunteers said that belonging to this global community of clubs was motivating for them. Volunteers particularly valued the access to resources and information being part of a global community offered, as well as opportunities to share ideas and problem solve.

The majority of Code Clubs are mostly or always using our digital making pathways and projects as part of their clubs. Volunteers value the projects’ step-by-step structure and how easy they are to follow.

“Great structure to allow the kids to self-learn whilst keeping a good amount of creativity for them.” – Code Club volunteer

We plan to do more to ensure that clubs around the world find these projects and pathways accessible and useful for their sessions with young people.

What’s next

The survey has helped us to identify a number of areas where we can support club volunteers even better. Volunteers identified help getting equipment and funding as the main things they needed support with, as well as recruitment of volunteers and young people. We are looking at the best ways we can lend a hand to the clubs network in these areas.

You can read the survey report to dive deeper into the findings.

We take impact seriously and are always looking to understand how we can improve and increase the impact we have on the lives of children and young people. To find out more about our approach to impact, you can read about our recently updated theory of change, which supports how we evaluate what we do. 

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It’s been nearly two years since the launch of the Raspberry Pi Computing Education Research Centre. Today, the Centre’s Director Dr Sue Sentance shares an update about the Centre’s work.

The Raspberry Pi Computing Education Research Centre (RPCERC) is unique for two reasons: we are a joint initiative between the University of Cambridge and the Raspberry Pi Foundation, with a team that spans both; and we focus exclusively on the teaching and learning of computing to young people, from their early years to the end of formal education.

We’ve been very busy at the RPCERC since we held our formal launch event in July 2022. We would love everyone who follows the Raspberry Pi Foundation’s work to keep an eye on what we are up to too: you can do that by checking out our website and signing up to our termly newsletter. 

What does the RPCERC do?

As the name implies, our work is focused on research into computing education and all our research projects align to one of the following themes:

• AI education
• Broadening participation in computing
• Computing around the world
• Pedagogy and the teaching of computing
• Physical computing
• Programming education

These themes encompass substantial research questions, so it’s clear we have a lot to do! We have only been established for a few years, but we’ve made a good start and are grateful to those who have funded additional projects that we are working on.

In our work, we endeavour to maintain two key principles that are hugely important to us: sharing our work widely and working collaboratively. We strive to engage in the highest quality rigorous research, and to publish in academic venues. However, we make sure these are available openly for those outside academia. We also favour research that is participatory and collaborative, so we work closely with teachers and other stakeholders. 

Within our six themes we are running a number of projects, and I’ll outline a few of these here.

Exploring physical computing in primary schools

Physical computing is more engaging than simply learning programming and computing skills on screen because children can build interactive and tangible artefacts that exist in the real world. But does this kind of engagement have any lasting impact? Do positive experiences with technology lead to more confidence and creativity later on? These are just some of the questions we aim to answer.

We are delighted to be starting a new longitudinal project investigating the experience of young people who have engaged with the BBC micro:bit and other physical computing devices. We aim to develop insights into changes in attitudes, agency, and creativity at key points as students progress from primary through to secondary education in the UK. 

To do this, we will be following a cohort of children over the course of five years — as they transition from primary school to secondary school — to give us deeper insights into the longer-term impact of working with physical computing than has been possible previously with shorter projects. This longer-term project has been made possible through a generous donation from the Micro:bit Educational Foundation, the BBC, and Nominet. 

Do follow our research to see what we find out!

Generative AI for computing teachers

We are conducting a range of projects in the general area of artificial intelligence (AI), looking both at how to teach and learn AI, and how to learn programming with the help of AI. In our work, we often use the SEAME framework to simplify and categorise aspects of the teaching and learning of AI. However, for many teachers, it’s the use of AI that has generated the most interest for them, both for general productivity and for innovative ways of teaching and learning. 

In one of our AI-related projects, we have been working with a group of computing teachers and the Faculty of Education to develop guidance for schools on how generative AI can be useful in the context of computing teaching. Computing teachers are at the forefront of this potential revolution for school education, so we’ve enjoyed the opportunity to set up this researcher–teacher working group to investigate these issues. We hope to be publishing our guidance in June — again watch this space!

Culturally responsive computing teaching

We’ve carried out a few different projects in the last few years around culturally responsive computing teaching in schools, which to our knowledge are unique for the UK setting. Much of the work on culturally responsive teaching and culturally relevant pedagogy (which stem from different theoretical bases) has been conducted in the USA, and we believe we are the only research team in the UK working on the implications of culturally relevant pedagogy research for computing teaching here. 

In one of our studies, we worked with a group of teachers in secondary and primary schools to explore ways in which they could develop and reflect on the meaning of culturally responsive computing teaching in their context. We’ve published on this work, and also produced a technical report describing the whole project. 

In another project, we worked with primary teachers to explore how existing resources could be adapted to be appropriate for their specific context and children. These projects have been funded by Cognizant and Google. 

‘Core’ projects

As well as research that is externally funded, it’s important that we work on more long-term projects that build on our research expertise and where we feel we can make a contribution to the wider community. 

We have four projects that I would put into this category:

1. Teacher research projects
   This year, we’ve been running a project called Teaching Inquiry in Computing Education, which supports teachers to carry out their own research in the classroom.
2. Computing around the world
   Following on from our survey of UK and Ireland computing teachers and earlier work on surveying teachers in Africa and globally, we are developing a broader picture of how computing education in school is growing around the world. Watch this space for more details.
3. PRIMM
   We devised the Predict–Run–Investigate–Modify–Make lesson structure for programming a few years ago and continue to research in this area.
4. LCT semantic wave theory
   Together with universities in London and Australia, we are exploring ways in which computing education can draw on legitimation code theory (LCT). 

We are currently looking for a research associate to lead on one or more of these core projects, so if you’re interested, get in touch. 

Developing new computing education researchers

One of our most important goals is to support new researchers in computing education, and this involves recruiting and training PhD students. During 2022–2023, we welcomed our very first PhD students, Laurie Gale and Salomey Afua Addo, and we will be saying hello to two more in October 2024. PhD students are an integral part of RPCERC, and make a great contribution across the team, as well as focusing on their own particular area of interest in depth. Laurie and Salomey have also been out and about visiting local schools too. 

Laurie’s PhD study focuses on debugging, a key element of programming education. He is looking at lower secondary school students’ attitudes to debugging, their debugging behaviour, and how to teach debugging. If you’d like to take part in Laurie’s research, you can contact us at [email protected].

Salomey’s work is in the area of AI education in K–12 and spans the UK and Ghana. Her first study considered the motivation of teachers in the UK to teach AI and she has spent some weeks in Ghana conducting a case study on the way in which Ghana implemented AI into the curriculum in 2020.

Thanks!

We are very grateful to the Raspberry Pi Foundation for providing a donation which established the RPCERC and has given us financial security for the next few years. We’d also like to express our thanks for other donations and project funding we’ve received from Google, Google DeepMind, the Micro:bit Educational Foundation, BBC, and Nominet. If you would like to work with us, please drop us a line at [email protected].

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Today’s blog is from Aimy Lee, Chief Operating Officer at Penang Science Cluster, part of our global partner network for Experience AI.

Artificial intelligence (AI) is transforming the world at an incredible pace, and at Penang Science Cluster, we are determined to be at the forefront of this fast-changing landscape.

The Malaysian government is actively promoting AI literacy among citizens, demonstrating a commitment to the nation’s technological advancement. This dedication is further demonstrated by the Ministry of Education’s recent announcement to introduce AI basics into the primary school curriculum, starting in 2027. 

Why we chose Experience AI

At Penang Science Cluster, we firmly believe that AI is already an essential part of everybody’s future, especially for young people, for whom technologies such as search engines, AI chatbots, image generation, and facial recognition are already deeply ingrained in their daily experiences. It is vital that we equip young people with the knowledge to understand, harness, and even create AI solutions, rather than view AI with trepidation.

With this in mind, we’re excited to be one of the first of many organisations to join the Experience AI global partner network. Experience AI is a free educational programme  offering cutting-edge resources on artificial intelligence and machine learning for teachers and students. Developed in collaboration between the Raspberry Pi Foundation and Google DeepMind, as a global partner we hope the programme will bring AI literacy to thousands of students across Malaysia.

Our goal is to demystify AI and highlight its potential for positive change. The Experience AI programme resonated with our mission to provide accessible and engaging resources tailored for our beneficiaries, making it a natural fit for our efforts.

Experience AI pilot: Results and student voices

At the start of this year, we ran an Experience AI pilot with 56 students to discover how the programme resonated with young people. The positive feedback we received was incredibly encouraging! Students expressed excitement and a genuine shift in their understanding of AI. 

Their comments, such as discovering the fun of learning about AI and seeing how AI can lead to diverse career paths, validated the effectiveness of the programme’s approach.  

One student’s changed perspective — from fearing AI to recognising its potential — underscores the importance of addressing misconceptions. Providing accessible AI education empowers students to develop a balanced and informed outlook.

“I learnt new things and it changed my mindset that AI is not going to take over the world.” – Student who took part in the Experience AI pilot

Launching Experience AI in Malaysia

The successful pilot paved the way for our official Experience AI launch in early April. Students who participated in the pilot were proud to be a part of the launch event, sharing their AI knowledge and experience with esteemed guests, including the Chief Minister of Penang, the Deputy Finance Minister of Malaysia, and the Director of the Penang State Education Department. The presence of these leaders highlights the growing recognition of the significance of AI education.

Building a vibrant AI education community

Following the launch, our immediate focus has shifted to empowering teachers. With the help of the Raspberry Pi Foundation, we’ll conduct teacher workshops to equip them with the knowledge and tools to bring Experience AI into their classrooms. Collaborating with education departments in Penang, Kedah, Perlis, Perak, and Selangor will be vital in teacher recruitment and building a vibrant AI education community.

Inspiring the next generation of AI creators

Experience AI marks an exciting start to integrating AI education within Malaysia, for both students and teachers. Our hope is to inspire a generation of young people empowered to shape the future of AI — not merely as consumers of the technology, but as active creators and innovators.

We envision a future where AI education is as fundamental as mathematics education, providing students with the tools they need to thrive in an AI-driven world. The journey of AI exploration in Malaysia has only just begun, and we’re thrilled to play a part in shaping its trajectory.

If you’re interested in partnering with us to bring Experience AI to students and teachers in your country, you can register your interest here.

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Modern web design has turned websites from static and boring walls of information into ways of providing fun and engaging experiences to the user. Our new ‘More web’ project path shows young creators how to add interaction and animation to a webpage through JavaScript code.

Why learn JavaScript?

As of 2024, JavaScript is the most popular programming language in the world. And it’s easy to see why when you look at its versatility and how it can be used to create dynamic and interactive content on websites. JavaScript lets you handle events and manipulate HTML and CSS so that you can build everything from simple animations, to forms that can be checked for missing or nonsensical answers. If you’ve ever seen a webpage continuously load more content when you reach the end, that’s JavaScript.

The six new projects in the ‘More web’ path move learners beyond the basics of HTML and CSS encountered in our ‘Introduction to web’ path. Young people will explore what JavaScript makes possible in web development, with plenty of support along the way. 

By the end of the ‘More web’ path, learners will have covered the following key programming concepts: 

HTML and CSS

JavaScript

Navbars, grid layouts, hero images and image sliders Form design and handling user input Accessibility and responsive design Sizing elements relative to the viewport or container Creating parallax scrolling effects using background-attachment Fixing the position of elements and using z-index to layer elements

Local and global variables, and constants Selection (if, else if, and else) Repetition (for loops) Using Console log Concatenation using template literals Event listeners Use of the intersection observer API to animate elements and lazy-load images Use of the localStorage object to retain user preferences Writing and calling functions to take advantage of the Document Object Model (DOM) Use setTimeout() to create time delays Work with Date() functions

We’ve designed the path to be completed in six one-hour sessions, with one hour per project. However, learners can work at their own speed and the project instructions invite them to take additional time to upgrade their projects if they wish.

Built for our Code Editor and with support in mind

All six projects use our Code Editor, which has been tailored specifically to young people’s needs. This integrated development environment (IDE) helps make learning text-based programming simple, safe, and accessible. The projects include starter code, handy code snippets, and images to help young people build their websites. 

Meet the projects

The path follows our Digital Making Framework, with its deliberate format of six projects that become less structured as learners progress. The Explore projects at the start of the path are where the initial learning takes place. Learners then develop their new skills by putting them into practice in the Design and Invent projects, which encourage them to use their imagination and make projects that matter to them. 

Welcome to Antarctica (Explore project 1)

Learners use HTML and CSS to design a website that lets people discover a place they may never get a chance to visit — Antarctica. They discover how to create a navigation bar (or navbar), set accessible colours and fonts, and add a responsive grid layout to hold beautiful images and interesting facts about this fascinating continent. 

Comic character (Explore project 2)

In the second Explore project, young people build an interactive website where the user can design a superhero character. Learners use JavaScript to let the user change the text on their website, show and hide elements, and create a hero image slider. They also learn how to let the user set the colour theme for the site and keep their preferences, even if they reload the page. 

Animated story (Explore project 3)

Young people create an interactive story with animated text and characters that are triggered when the user scrolls. They will learn how to design for accessibility and improve browser performance by only loading images when they’re needed.

Pick your favourite (Design project 1)

This is where learners can practise their skills and bring in their own interests to make a fan website, which lets a user make choices that change the webpage content. 

Quiz time (Design project 2)

The final Design project invites young people to build a personalised web app that lets users test what they know about a topic. Learners choose a topic for their quiz, create and animate their questions, and then show the user their final score. They could make a quiz about history, nature, world records, science, sports, fashion, TV, movies… or anything else they’re an expert in!

Share your world (Invent project)

In this final project, young people bring everything they’ve learnt together and use their new coding powers and modern design skills to create an interactive website to share a part of their world with others. They could provide information about their culture, interests, hobbies or expertise, share fun facts, create quizzes, or write reviews. Learners consider what makes a website useful and informative, as well as fun and accessible. 

Next steps in web development

Encourage your young learners to take their next steps in web design, learn JavaScript, and try out this new path of coding projects to create interactive websites that excite and engage users. 

Young people can also enter one of their Design or Invent projects into the Web category of the yearly Coolest Projects showcase by taking a short video showing the project and the code used to make it. Their creation will become part of the Coolest Projects online gallery for people all over the world to see! 

The post Get young people making interactive websites with JavaScript and our ‘More web’ path appeared first on Raspberry Pi Foundation.

At the Raspberry Pi Foundation, we aim to democratise access to digital skills and technologies. One of the ways we do this is via partnerships with youth and community organisations that deliver frontline services to young people experiencing educational disadvantage.

In 2023 we delivered a hybrid training programme to 14 youth organisations in the UK to help youth leaders and educators incorporate coding and digital making activities into their provision to young people. The training programme was supported by Amazon Future Engineer. In this blog, we summarise what we’ve learned from our evaluation of the training and its impact.

Youth workers feel prepared to run digital making activities

In total, 29 youth leaders and educators participated in the training, which consisted of 12 modules delivered across 4 online sessions and one in-person day. We asked participants to complete surveys at several points throughout the programme to enable us to explore their feedback, the training’s impact on their confidence in facilitating computing sessions, and their experiences of running activities with young people.

The educators on this programme were already well motivated to run digital making sessions. But one of the main challenges youth organisations report to us most often is that their staff and volunteers need more confidence in their ability to deliver coding activities on an ongoing basis. It was therefore great to see that, following the training, every participant felt at least moderately prepared to run coding activities, with 2 out of every 5 participants feeling very prepared. Furthermore, we recorded positive impact of the training on participants’ readiness: after the training, 4 out of every 5 participants agreed they had the skills they needed to facilitate activities for young people.

“It was pitched right for the majority of attendees with no knowledge of Scratch[.]” – Karl Nicholson, Manchester Youth Zone

The training was well received

Educators found the training to be high quality and, in almost all cases, beneficial. Participants reported that attending two online sessions in preparation for the in-person training day had improved their experience of the in-person activites.

“It was really great. The online courses are excellent and being in-person to get answers to questions really helped. The tinkering was really useful and having people on hand to answer questions [was] massively helpful.” – Liam Garnett, Leeds Libraries

Some participants told us they struggled with the second online training session. This may be because it contained more challenging content: moving from block-based coding (Scratch) to text-based coding (Python), a transition we know many people new to programming can find difficult.

This feedback has helped inform the next iteration of our training programme for youth and community organisations.

Youth workers are now running digital making sessions

Since the training, attendees across the 14 organisations have reported that, so far, 39 digital making sessions have taken place, reaching 422 young people. Youth leaders and educators who have already run sessions also told us they intend to continue with coding and digital making activities with their young people in the future.

Among these youth leaders was Marie Henry, founder of Breadline London, a grassroots charitable organisation based in Haringey, London, that supports families and young people to break the cycle of poverty through financial education, training, and practical workshops.

Since the training programme, Marie has gone on to start a regular coding club in her local area.

“We are immensely grateful to the Raspberry Pi Foundation team for their encouragement and unwavering support in empowering us to launch our own coding club. Their guidance, expertise, hands-on training workshops, and provision of essential equipment and devices have been instrumental in our journey towards building a positive community for our young coders.

With their help, we’ve gained the confidence, knowledge, and skills needed to inspire the next generation of coders and innovators. We still have a lot to learn, but with them by our side, we are confident that our coding club will be a great success.

Thank you, Raspberry Pi Foundation, for believing in our vision and helping us turn it into reality.” – Marie Henry, Founder of Breadline London

Some of the organisations that participated in the training have not yet run sessions, but plan to start delivery within the next 1 to 3 months. They continue to face some logistical challenges, ranging from staff shortages and volunteer availability, to encouraging local young people with limited prior exposure to computing to join the digital making activities. We are continuing to support these organisations to get up and running as soon as possible.

“Oh my what a great coding after school session I’ve had this afternoon…Scratch not only sets a starting point for children in their ITC learning, but is also a fun way to learn and build on skills they can take with them as they grow.

Planting the seeds of aspirations!” – Heather Coultard, Doncaster Children’s University

Our ongoing support to youth and community organisations

Our previous blog highlighted the importance of increasing young people’s sense of belonging within a coding club environment, to appeal to marginalised youth. Our findings suggest we are on the right track. Overall, participants felt positive about the training and found it to be of high quality, and it has helped them to deliver digital making sessions to young people in their communities. The organisations’ detailed feedback and impact reporting will continue to inform and improve the development of our training programmes going forward.

We thank Amazon Future Engineer for helping us run this rewarding programme. 

For more information about how we can support youth and community organisations in the UK in starting their coding clubs, please send us a message on the subject ‘Partnerships’.

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Young people taking part in the European Astro Pi Challenge are about to have their computer programs sent to the International Space Station (ISS). Astro Pi is run annually in collaboration by us and ESA Education, and offers two ways to get involved: Mission Zero and Mission Space Lab.

This year, over 25,000 young people from across Europe and eligible ESA Member States are getting their programs ‘uplinked’ to the Astro Pi computers aboard the ISS, where they will be running over the next few weeks. 

Mission Zero teams send their art into space

Mission Zero is an exciting activity for kids with little or no experience with coding. We invite young people to create a Python program that displays an 8×8 pixel image or animation. This program then gets sent to the ISS, and each pixel art piece is displayed for 30 seconds on the LED matrix display of the Astro Pi computers on the ISS.

We picked the theme ‘fauna and flora’ as the inspiration for young people’s pixel art, as it proved so popular last year, and we weren’t disappointed: this year, 24,378 young people submitted 16,039 Mission Zero creations!  

We’ve tested every program and are pleased to announce that 15,942 Mission Zero programs will be sent to run on the ISS from mid May. 

Once again, we have been amazed at the wonderful images and animations that young people have created. Seeing all the images that have been submitted is one of the most enjoyable and inspiring things to do as we work on the Astro Pi Challenge. Here is a little selection of some of our favourites submitted this year:

Varied approaches: How different teams calculate ISS speed

For Mission Space Lab, we invite more experienced young coders to take on a scientific challenge: to calculate the speed that the ISS orbits Earth. 

Teams are tasked with writing a program that uses the Astro Pis’ sensors and visible light camera to capture data for their calculations, and we have really enjoyed seeing the different approaches the teams have taken. 

Some teams decided to calculate the distance between two points in photos of the Earth’s surface and combine this with how long it took for the ISS to pass over the points to find the speed. This particular method uses feature extraction and needs to account for ground sampling distance — how many square metres are represented in one pixel in an image of the ground taken from above — to get an accurate output.  

We’ve also seen teams use data from the gyroscope to calculate the speed using the angle readings and photos to get their outputs. Yet other teams have derived the speed using equations of motion and sampling from the accelerometer.

All teams that took multiple samples from the Astro Pi sensors, or multiple images, had to decide how to output a final estimate for the speed of the ISS. Most teams opted to use the mean average. But a few teams chose to filter their samples to choose only the ‘best’ ones based on prior knowledge (Bayesian filtering), and some used a machine learning model and the Astro Pi’s machine learning dongle to select which images or data samples to use. Some teams even provided a certainty score along with their final estimate.

236 Mission Space Lab teams awarded flight status

However the team choses to approach the challenge, before their program can run on the ISS, we need to make sure of a few things. For a start, we check that they’ve followed the challenge rules and meet the ISS security requirements. Next, we check that the program can run without errors on the Astro Pis as the astronauts on board the ISS can’t stop what they’re doing to fix any problems. 

So, all programs submitted to us must pass a rigorous testing process before they can be sent into space. We run each program on several replica Astro Pis, then run all the programs sequentially, to ensure there’s no problems. If the program passes testing, it’s awarded ‘flight status’ and can be sent to run in space.

This year, 236 teams have been awarded flight status. These teams represent 889 young people from 22 countries in Europe and ESA member states. The average age of these young people is 15, and 27% of them are girls. The UK has the most teams achieving flight status (61), followed by the Czech Republic (23) and Romania (22). You can see how this compares to last year and explore other breakdowns of participant data in the annual Astro Pi impact report.  

Our congratulations to all the Mission Space Lab teams who’ve been awarded flight status: it is a great achievement. All these teams will be invited to join a live online Q&A with an ESA astronaut in June. We can’t wait to see what questions you send us for the astronaut.

A pause to recharge the ISS batteries 

Normally, the Astro Pi programs run continuously from the end of April until the end of May. However, this year, there is an interesting event happening in the skies above us that means that programs will pause for a few days. The ISS will be moving its position on the ‘beta angle’ and pivoting its orientation to maximise the sunlight that it can capture with its solar panels. 

The ISS normally takes 90 minutes to complete its orbit, 45 minutes of which is in sunlight, and 45 minutes in darkness. When it moves along the beta angle, it will be in continual sunlight, allowing it to capture lots of solar energy and recharge its batteries. While in its new orientation, the ISS is exposed to increased heat from the sun so the window shutters must be closed to help the astronauts stay cool. That means taking photos of the Earth’s surface won’t be possible for a few days.

What next?

Once all of the programs have run, we will send the Mission Space Lab teams the data collected during their experiments. All successful Mission Zero and Mission Space Lab teams and mentors will also receive personal certificates to recognise their mission completion.

Congratulations to all of this year’s Astro Pi Challenge participants, and especially to all successful teams.

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We work with mission-aligned educational organisations all over the world to support young people’s computing education. In 2023 we established four partnerships in Kenya and South Africa with organisations Coder:LevelUp, Blue Roof, Oasis Mathare, and Tech Kidz Africa, which support young people in underserved communities. Our shared goal is to support educators to establish and sustain extracurricular Code Clubs and CoderDojos in schools and community organisations. Here we share insights into the impact the partnerships are having.

Evaluating the impact of the training 

In the partnerships we used a ‘train the trainer’ model, which focuses on equipping our partners with the knowledge and skills to train and support educators and learners. This meant that we trained a group of educators from each partner, enabling them to then run their own training sessions for other educators so they can set up coding clubs and run coding sessions. These coding sessions aim to increase young people’s skills and confidence in computing and programming.

We also conducted an evaluation of the impact of our work in these partnerships. We shared two surveys with educators (one shortly after they completed their initial training, a second for when they were running coding sessions), and another survey for young people to fill in during their coding sessions. In two of the partnerships, we also conducted interviews and focus groups with educators and young people. 

Although we received lots of valuable feedback, only a low proportion of participants responded to our surveys, so the data may not be representative of the experience of all participating educators. 

New opportunities to learn to code

Following our training, our partners themselves trained 332 educators across Kenya and South Africa to work directly in schools and communities running coding sessions. This led to the setup of nearly 250 Code Clubs and CoderDojos and additional coding sessions in schools and communities, reaching more than 11,500 young people.

As a result, access to coding and programming has increased in areas where this provision would otherwise not be available. One educator told us:

“We found it extremely beneficial, because a lot of our children come from areas in the community where they barely know how to read and write, let alone know how to use a computer… [It provides] the foundation, creating a fun way of approaching the computer as opposed to it being daunting.”

Curiosity, excitement and increased confidence

We found encouraging signs of the impact of this work on young people.

Nearly 90% of educators reported seeing an increase in young people’s computing skills, with over half of educators reporting that this increase was large. Over three quarters of young people who filled in our survey reported feeling confident in coding and computer programming.

The young people spoke enthusiastically about what they had learned and the programs they had created. They told us they felt inspired to keep learning, linking their interests to what they wanted to do in coding sessions. Interests included making dolls, games, cartoons, robots, cars, and stories. 

When we spoke with educators and young people, a key theme that emerged was the enthusiasm and curiosity of the young people to learn more. Educators described how motivated they felt by the excitement of the young people. Young people particularly enjoyed finding out the role of programming in the world around them, from understanding traffic lights to knowing more about the games they play on their phones.

One educator told us:

“…students who knew nothing about technology are getting empowered.” 

This confidence is particularly encouraging given that educators reported a low level of computer literacy among young people at the start of the coding sessions. One educator described how coding sessions provided an engaging hook to support teaching basic IT skills, such as mouse skills and computer-related terms, alongside coding. 

Addressing real-world problems

One educator gave an example of young people using what they are learning in their coding club to solve real-world problems, saying:

“It’s life-changing because some of those kids and the youths that you are teaching… they’re using them to automate things in their houses.” 

Many of these young people live in informal settlements where there are frequent fires, and have started using skills they learned in the coding sessions to automate things in their homes, reducing the risk of fires. For example, they are programming a device that controls fans so that they switch on when the temperature gets too high, and ways to switch appliances such as light bulbs on and off by clapping.

Continuing to improve our support

From the gathered feedback, we also learned some useful lessons to help improve the quality of our offer and support to our partners. For example, educators faced challenges including lack of devices for young people, and low internet connectivity. As we continue to develop these partnerships, we will work with partners to make use of our unplugged activities that work offline, removing the barriers created by low connectivity.

We are continuing to develop the training we offer and making sure that educators are able to access our other training and resources. We are also using the feedback they have given us to consider where additional training and support may be needed. Future evaluations will further strengthen our evidence and provide us with the insights we need to continue developing our work and support more educators and young people.

Our thanks to our partners at Coder:LevelUp, Blue Roof, Oasis Mathare, and Tech Kidz Africa for sharing our mission to enable young people to realise their full potential through the power of computing and digital technologies. As we continue to build partnerships to support Code Clubs and CoderDojos across South Africa and Kenya, it is heartening to hear first-hand accounts of the positive impact this work has on young people.

If your organisation would like to partner with us to bring computing education to young people you support, please send us a message with the subject ‘Partnerships’.

The post Global impact: Empowering young people in Kenya and South Africa through coding clubs appeared first on Raspberry Pi Foundation.

We love hearing from members of the community and sharing the stories of amazing young people, volunteers, and educators who are using their passion for technology to create positive change in the world around them.

In our latest story, we’re heading to Alkmaar, the Netherlands, to meet Arno and Timo, CoderDojo enthusiasts who have transitioned from club members to supportive mentors. Their journey at CoderDojo and their drive to give back and support the next generation of coders in their community has been an inspiration to those around them.

Introducing Arno and Timo

Arno and Timo have been friends since childhood, and embarked on their CoderDojo journey at the age of 12, eager to explore the world of coding. Under the guidance of mentors like Sanneke, Librarian and Chair of CoderDojo Netherlands, they not only honed their technical skills, but also learned about the value of collaboration, curiosity, and perseverance. As they grew older, they in turn were inspired to support young coders, and wanting to remain part of the CoderDojo community, they decided to become mentors to the next generation of club attendees. 

Having been helping younger members of the club for years, the transition to official mentors and proud owners of the much-coveted mentor T-shirt was seamless. 

The power of mentorship

Sanneke reflects on the impact young mentors like Timo and Arno have on the young learners at CoderDojo:

“Having young mentors who are just slightly older than our youngest… I think it helps them to see what happens when you grow up and how they can help. They can be examples for how to help others.” – Sanneke, Librarian, CoderDojo mentor, and Chair of CoderDojo Netherlands

Timo echoes this sentiment, highlighting how mentoring provides a fantastic opportunity to help people and make a positive impact in the local community: 

“I think volunteering is important, because you’re doing something for the community, in a city or village, supporting them in their journey in learning coding.” – Timo

As they continue their journey, Timo and Arno remain committed to supporting and inspiring the next generation of coders. They also encourage anyone who is thinking of volunteering at a club to give it a go: 

“If you want to volunteer at the CoderDojo, just go for it. You don’t really need that much experience. […] The kids can learn it, so can you.” – Arno

The CoderDojo movement in the Netherlands is celebrating a decade of impact, and champions a culture of growth and learning. Arno and Timo’s story serves as an inspiration to us all, shining a light on the power of mentorship and the impact of volunteering in building stronger, more supportive communities. 

Inspire the next generation of young coders

Arno and Timo’s story showcases the importance of mentorship for both individuals and communities, and the real impact you can have by donating an hour of your time a week. If you’re interested in becoming a CoderDojo volunteer, head to coderdojo.com to find out how to get started.

Help us celebrate Arno and Timo and their inspiring journey by sharing their story on X (formerly Twitter), LinkedIn, and Facebook.

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It’s been almost a year since we launched our first set of Experience AI resources in the UK, and we’re now working with partner organisations to bring AI literacy to teachers and students all over the world.

Developed by the Raspberry Pi Foundation and Google DeepMind, Experience AI provides everything that teachers need to confidently deliver engaging lessons that will inspire and educate young people about AI and the role that it could play in their lives.

Over the past six months we have been working with partners in Canada, Kenya, Malaysia, and Romania to create bespoke localised versions of the Experience AI resources. Here is what we’ve learned in the process.

Creating culturally relevant resources

The Experience AI Lessons address a variety of real-world contexts to support the concepts being taught. Including real-world contexts in teaching is a pedagogical strategy we at the Raspberry Pi Foundation call “making concrete”. This strategy significantly enhances the learning experience for learners because it bridges the gap between theoretical knowledge and practical application. 

The initial aim of Experience AI was for the resources to be used in UK schools. While we put particular emphasis on using culturally relevant pedagogy to make the resources relatable to learners from backgrounds that are underrepresented in the tech industry, the contexts we included in them were for UK learners. As many of the resource writers and contributors were also based in the UK, we also unavoidably brought our own lived experiences and unintentional biases to our design thinking.

Therefore, when we began thinking about how to adapt the resources for schools in other countries, we knew we needed to make sure that we didn’t just convert what we had created into different languages. Instead we focused on localisation.

Localisation goes beyond translating resources into a different language. For example in educational resources, the real-world contexts used to make concrete the concepts being taught need to be culturally relevant, accessible, and engaging for students in a specific place. In properly localised resources, these contexts have been adapted to provide educators with a more relatable and effective learning experience that resonates with the students’ everyday lives and cultural background.

Working with partners on localisation

Recognising our UK-focused design process, we made sure that we made no assumptions during localisation. We worked with partner organisations in the four countries — Digital Moment, Tech Kidz Africa, Penang Science Cluster, and Asociația Techsoup — drawing on their expertise regarding their educational context and the real-world examples that would resonate with young people in their countries.

We asked our partners to look through each of the Experience AI resources and point out the things that they thought needed to change. We then worked with them to find alternative contexts that would resonate with their students, whilst ensuring the resources’ intended learning objectives would still be met.

Spotlight on localisation for Kenya

Tech Kidz Africa, our partner in Kenya, challenged some of the assumptions we had made when writing the original resources.

Relevant applications of AI technology

Tech Kidz Africa wanted the contexts in the lessons to not just be relatable to their students, but also to demonstrate real-world uses of AI applications that could make a difference in learners’ communities. They highlighted that as agriculture is the largest contributor to the Kenyan economy, there was an opportunity to use this as a key theme for making the Experience AI lessons more culturally relevant. 

This conversation with Tech Kidz Africa led us to identify a real-world use case where farmers in Kenya were using an AI application that identifies disease in crops and provides advice on which pesticides to use. This helped the farmers to increase their crop yields.

We included this example when we adapted an activity where students explore the use of AI for “computer vision”. A Google DeepMind research engineer, who is one of the General Chairs of the Deep Learning Indaba, recommended a data set of images of healthy and diseased cassava crops (1). We were therefore able to include an activity where students build their own machine learning models to solve this real-world problem for themselves.

Access to technology

While designing the original set of Experience AI resources, we made the assumption that the vast majority of students in UK classrooms have access to computers connected to the internet. This is not the case in Kenya; neither is it the case in many other countries across the world. Therefore, while we localised the Experience AI resources with our Kenyan partner, we made sure that the resources allow students to achieve the same learning outcomes whether or not they have access to internet-connected computers.

Assuming teachers in Kenya are able to download files in advance of lessons, we added “unplugged” options to activities where needed, as well as videos that can be played offline instead of being streamed on an internet-connected device.

What we’ve learned

The work with our first four Experience AI partners has given us with lots of localisation learnings, which we will use as we continue to expand the programme with more partners across the globe:

• Cultural specificity: We gained insight into which contexts are not appropriate for non-UK schools, and which contexts all our partners found relevant. 
• Importance of local experts: We know we need to make sure we involve not just people who live in a country, but people who have a wealth of experience of working with learners and understand what is relevant to them. 
• Adaptation vs standardisation: We have learned about the balance between adapting resources and maintaining the same progression of learning across the Experience AI resources. 

Throughout this process we have also reflected on the design principles for our resources and the choices we can make while we create more Experience AI materials in order to make them more amenable to localisation. 

Join us as an Experience AI partner

We are very grateful to our partners for collaborating with us to localise the Experience AI resources. Thank you to Digital Moment, Tech Kidz Africa, Penang Science Cluster, and Asociația Techsoup.

We now have the tools to create resources that support a truly global community to access Experience AI in a way that resonates with them. If you’re interested in joining us as a partner, you can register your interest here.

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(1) The cassava data set was published open source by Ernest Mwebaze, Timnit Gebru, Andrea Frome, Solomon Nsumba, and Jeremy Tusubira. Read their research paper about it here.

The post Localising AI education: Adapting Experience AI for global impact appeared first on Raspberry Pi Foundation.

Educators around the world are grappling with the problem of whether to use artificial intelligence (AI) tools in the classroom. As more and more teachers start exploring the ways to use these tools for teaching and learning computing, there is an urgent need to understand the impact of their use to make sure they do not exacerbate the digital divide and leave some students behind.

Sri Yash Tadimalla from the University of North Carolina and Dr Mary Lou Maher, Director of Research Community Initiatives at the Computing Research Association, are exploring how student identities affect their interaction with AI tools and their perceptions of the use of AI tools. They presented findings from two of their research projects in our March seminar.

How students interact with AI tools 

A common approach in research is to begin with a preliminary study involving a small group of participants in order to test a hypothesis, ways of collecting data from participants, and an intervention. Yash explained that this was the approach they took with a group of 25 undergraduate students on an introductory Java programming course. The research observed the students as they performed a set of programming tasks using an AI chatbot tool (ChatGPT) or an AI code generator tool (GitHub Copilot). 

The data analysis uncovered five emergent attitudes of students using AI tools to complete programming tasks: 

• Highly confident students rely heavily on AI tools and are confident about the quality of the code generated by the tool without verifying it
• Cautious students are careful in their use of AI tools and verify the accuracy of the code produced
• Curious students are interested in exploring the capabilities of the AI tool and are likely to experiment with different prompts 
• Frustrated students struggle with using the AI tool to complete the task and are likely to give up 
• Innovative students use the AI tool in creative ways, for example to generate code for other programming tasks

Whether these attitudes are common for other and larger groups of students requires more research. However, these preliminary groupings may be useful for educators who want to understand their students and how to support them with targeted instructional techniques. For example, highly confident students may need encouragement to check the accuracy of AI-generated code, while frustrated students may need assistance to use the AI tools to complete programming tasks.

An intersectional approach to investigating student attitudes

Yash and Mary Lou explained that their next research study took an intersectional approach to student identity. Intersectionality is a way of exploring identity using more than one defining characteristic, such as ethnicity and gender, or education and class. Intersectional approaches acknowledge that a person’s experiences are shaped by the combination of their identity characteristics, which can sometimes confer multiple privileges or lead to multiple disadvantages.

In the second research study, 50 undergraduate students participated in programming tasks and their approaches and attitudes were observed. The gathered data was analysed using intersectional groupings, such as:

• Students who were from the first generation in their family to attend university and female
• Students who were from an underrepresented ethnic group and female 

Although the researchers observed differences amongst the groups of students, there was not enough data to determine whether these differences were statistically significant.

Who thinks using AI tools should be considered cheating? 

Participating students were also asked about their views on using AI tools, such as “Did having AI help you in the process of programming?” and “Does your experience with using this AI tool motivate you to continue learning more about programming?”

The same intersectional approach was taken towards analysing students’ answers. One surprising finding stood out: when asked whether using AI tools to help with programming tasks should be considered cheating, students from more privileged backgrounds agreed that this was true, whilst students with less privilege disagreed and said it was not cheating.

This finding is only with a very small group of students at a single university, but Yash and Mary Lou called for other researchers to replicate this study with other groups of students to investigate further. 

You can watch the full seminar here:

Acknowledging differences to prevent deepening divides

As researchers and educators, we often hear that we should educate students about the importance of making AI ethical, fair, and accessible to everyone. However, simply hearing this message isn’t the same as truly believing it. If students’ identities influence how they view the use of AI tools, it could affect how they engage with these tools for learning. Without recognising these differences, we risk continuing to create wider and deeper digital divides. 

Join our next seminar

The focus of our ongoing seminar series is on teaching programming with or without AI. 

For our next seminar on Tuesday 16 April at 17:00 to 18:30 GMT, we’re joined by Brett A. Becker (University College Dublin), who will talk about how generative AI can be used effectively in secondary school programming education and how it can be leveraged so that students can be best prepared for continuing their education or beginning their careers. To take part in the seminar, click the button below to sign up, and we will send you information about how to join. We hope to see you there.

The schedule of our upcoming seminars is online. You can catch up on past seminars on our blog and on the previous seminars and recordings page.

The post Insights into students’ attitudes to using AI tools in programming education appeared first on Raspberry Pi Foundation.

As educators, it’s important that we showcase the wide range of career opportunities available in the field of computing, not only to inspire learners, but also to help them feel sure they’re choosing to study a subject that is useful for their future. For example, a survey from the BBC in September 2023 found that more than a quarter of UK teenagers often feel anxious, with “exams and school life” among the main causes. To help young people chart their career paths, we recently hosted two live webinars for National Careers Week in the UK.

Our goal for the webinars was to highlight the breadth of careers within computing and to provide insights from professionals who are pursuing their own diverse and rewarding paths. Each webinar featured engaging discussions and an interactive Q&A session with learners who use our Ada Computer Science platform. The learners could ask their own questions to get firsthand knowledge and perspectives from our guest speakers.

Our guest speakers

Jess Van Brummelen is a Human–Computer Interaction Research Scientist at Niantic, the video games company behind augmented reality game Pokémon Go. After developing an interest in programming during her undergraduate degree in mechanical engineering, she went on to complete a Master’s degree and PhD in computer science at MIT.

Ashley Edwards is a Senior Research Scientist at Google DeepMind, working on reinforcement learning. She received her PhD in 2019 from Georgia Tech, spent time as an intern at Google Brain, and worked as a research scientist at Uber AI Labs.

You can read extracts from our interviews with Jess and Ashley and watch the full videos below. Teachers have contacted us to say they’ll be using the webinars for careers-focused sessions with their students. We hope you will do the same!

Please note that we have edited the extracts below to add clarity.

Jess Van Brummelen

Hi Jess. What advice would you give to a student who is thinking about a career in human–computer interaction in the gaming industry?

In terms of HCI and gaming, I’d actually recommend that you keep gaming! It’s a small part of my job but it’s really important to understand what’s fun and enjoyable in games. Not only that; gaming can be great for learning to problem-solve — there’s been all sorts of research on the positive impact of gaming.

A second thing, going back to how I felt in my mechanical engineering classes, I really felt like an ‘other’ and not someone who is the standard computer scientist or engineer. I would encourage students to pursue their dreams anyway because it’s so important to have diversity in these types of careers, especially technology, because it goes out to so many different people and it can really affect society. It’s really important that the people who make it come from many different backgrounds and cultures so we can create technology that is better for everyone.

[From Owen, a student on the livestream] What’s the most impossible idea you’ve come up with while working at Niantic?

I’m currently publishing a paper addressing the question, ‘Can we guide people without using anything visual on their phone?’ That means using audio and haptic (technology that transmits information via touch, e.g. vibrations) prompts instead. We tried out different commands where the phone said ‘turn left’ and ‘turn right’, but we really wanted to test how to guide someone more specifically in a game environment. For example, if there was a hidden object on a wall in a game that a person couldn’t see, could we guide them to that object while they’re walking? So I ran a study where I guided people to scan a statue by moving around it. Scanning is the process of using the camera on your phone to scan an object in real life, which is then reconstructed on your phone. Scanning objects can trigger other augmented reality experiences within a game. For example, you might scan a real-life box in a room and this might trigger an animation of that box opening to reveal a secret within the game. We tested a lot of different things. For example, test subjects listened to music as they were walking and when they were on the right path, the music sounded really good. But when they were off the path, it sounded terrible. So it helped them to look for the right path. Then if you were pointing the phone in the wrong direction for scanning objects, you would get warning vibrations on the phone. So we did the study and we were hoping it would improve safety. It turns out it was neutral on improving safety — I think this is because it was such a novel system. People weren’t used to using it and still bumped into things! But it did make people better at scanning the objects, which was interesting.

Watch Jess’s full interview:

Ashley Edwards

Hi Ashley. Is there something you studied in school that you found to be more useful now than you ever thought it would be?

Maths! I always enjoyed doing maths, but I didn’t realise I would need it as a computer scientist. You see it popping up all the time, especially in machine learning. Having a strong knowledge of calculus and linear algebra is really helpful.

How do you train an AI model using machine learning? 

You start by asking the question, ‘What is the problem I’m trying to solve?’ Then typically you need input data and the outputs you want to achieve, so you ask two more questions, ‘What data do I want to come in?’ and ‘What do I want to come out?’ Let’s say you decide to use a supervised learning model (a category of machine learning where labelled data sets are used to train algorithms to detect patterns and predict outcomes) to predict whether a photo contains a cat. You train the model using a giant set of images with labels that say either ‘This is a cat’ or ‘This isn’t a cat’. By training the model with the images, you get to a point where your model can analyse the features of any image and predict whether it contains a cat or not.

In my field of research, I work on something called reinforcement learning, which is where you train your model through trial and error and the use of ‘rewards’. Let’s imagine we are trying to train a robot. We might write a program that tells the robot, ‘I am going to give you a reward if you take the right step forward and it’s going to be a positive reward. If you fall over, I’m going to give you a negative reward.’ So you train the robot to prioritise the right behaviours to optimise the rewards it’s getting.

[From a student] Will I still need to learn to code in the future?

I think it is going to be very different in the future, but we’ll still need to learn how to build different types of algorithms and we’re going to need to understand the concepts behind coding as well. We’ll still need to ask questions like, ‘What is it that I want to build?’ and ‘Is this actually doing the correct thing?’

Watch Ashley’s full interview:

Broadening access

Jess and Ashley are forging successful careers not only through a combination of smart choices, hard work, talent, and a passion for technology; they also had access to opportunities to discover their passion and receive an education in this field. Too many young people around the world still don’t have these opportunities.

That is why we provide free resources and training to help schools broaden access to computing education. For example, our free learning platform, Ada Computer Science, provides students aged 14 to 19 with high-quality computing resources and interactive questions, written by experts from our team. To learn more, visit adacomputerscience.org.

The post Careers in computer science: Two perspectives appeared first on Raspberry Pi Foundation.

Here at the Raspberry Pi Foundation, we believe that it’s important that our academic research has a practical application. An important area of research we are engaged in is broadening participation in computing education by investigating how the subject can be made more culturally relevant — we have published several studies in this area. 

However, we know that busy teachers do not have time to keep abreast of all the latest research. This is where our Pedagogy Quick Reads come in. They show teachers how an area of current research either has been or could be applied in practice. 

Our new Pedagogy Quick Reads summarises the central tenets of culturally relevant pedagogy (the theory) and then lays out 10 areas of opportunity as concrete ways for you to put the theory into practice.

Why is culturally relevant pedagogy necessary?

Computing remains an area where many groups of people are underrepresented, including those marginalised because of their gender, ethnicity, socio-economic background, additional educational needs, or age. For example, recent stats in the BCS’ Annual Diversity Report 2023 record that in the UK, the proportion of women working in tech was 20% in 2021, and Black women made up only 0.7% of tech specialists. Beyond gender and ethnicity, pupils who have fewer social and economic opportunities ‘don’t see Computing as a subject for somebody like them’, a recent report from Teach First found. 

The fact that in the UK, 94% of girls and 79% of boys drop Computing at age 14 should be of particular concern for Computing educators. This last statistic makes it painfully clear that there is much work to be done to broaden the appeal of Computing in schools. One approach to make the subject more inclusive and attractive to young people is to make it more culturally relevant. 

As part of our research to help teachers effectively adapt their curriculum materials to make them culturally relevant and engaging for their learners, we’ve identified 10 areas of opportunity — areas where teachers can choose to take actions to bring the latest research on culturally relevant pedagogy into their classrooms, right here, right now. 

Applying the areas of opportunity in your classroom

The Pedagogy Quick Read gives teachers ideas for how they can use the areas of opportunity (AOs) to begin to review their own curriculum, teaching materials, and practices. We recommend picking one area initially, and focusing on that perhaps for a term. This helps you avoid being overwhelmed, and is particularly useful if you are trying to reach a particular group, for example, Year 9 girls, or low-attaining boys, or learners who lack confidence or motivation. 

For example, one simple intervention is AO1 ‘Finding out more about our learners’. It’s all too easy for teachers to assume that they know what their students’ interests are. And getting to know your students can be especially tricky at secondary level, when teachers might only see a class once a fortnight or in a carousel. 

However, finding out about your learners can be easily achieved in an online survey homework task, set at the beginning of a new academic year or term or unit of work. Using their interests, along with considerations of their backgrounds, families, and identities as inputs in curriculum planning can have tangible benefits: students may begin to feel an increased sense of belonging when they see their interests or identities reflected in the material later used. 

How we’re using the AOs

The Quick Read presents two practical case studies of how we’ve used the 10 AO to adapt and assess different lesson materials to increase their relevance for learners. 

Case study 1: Teachers in UK primary school adapt resources

As we’ve shared before, we implemented culturally relevant pedagogy as part of UK primary school teachers’ professional development in a recent research project. The Quick Read provides details of how we supported teachers to use the AOs to adapt teaching material to make it more culturally relevant to learners in their own contexts. Links to the resources used to review 2 units of work, lesson by lesson, to adapt tasks, learning material, and outcomes are included in the Quick Read. 

Case study 2: Reflecting on the adaption of resources for a vocational course for young adults in a Kenyan refugee camp

In a different project, we used the AOs to reflect on our adaptation of classroom materials from The Computing Curriculum, which we had designed for schools in England originally. Partnering with Amala Education, we adapted Computing Curriculum materials to create a 100-hour course for young adults at Kakuma refugee camp in Kenya who wanted to develop vocational digital literacy skills. 

The diagram below shows our ratings of the importance of applying each AO while adapting materials for this particular context. In this case, the most important areas for making adaptations were to make the context more culturally relevant, and to improve the materials’ accessibility in terms of readability and output formats (text, animation, video, etc.). 

You can use this method of reflection as a way to evaluate your progress in addressing different AOs in a unit of work, across the materials for a whole year group, or even for your school’s whole approach. This may be useful for highlighting those areas which have, perhaps, been overlooked. 

Applying research to practice with the AOs

The ‘Areas of opportunity’ Pedagogy Quick Read aims to help teachers apply research to their practice by summarising current research and giving practical examples of evidence-based teaching interventions and resources they can use.

The set of AOs was developed as part of a wider research project, and each one is itself research-informed. The Quick Read includes references to that research for everyone who wants to know more about culturally relevant pedagogy. This supporting evidence will be useful to teachers who want to address the topic of culturally relevant pedagogy with senior or subject leaders in their school, who often need to know that new initiatives are evidence-based.

Our goal for the Quick Read is to raise awareness of tried and tested pedagogies that increase accessibility and broaden the appeal of Computing education, so that all of our students can develop a sense of belonging and enjoyment of Computing.

Let us know if you have a story to tell about how you have applied one of the areas of opportunity in your classroom.

To date, our research in the field of culturally relevant pedagogy has been generously supported by funders including Cognizant and Google. We are very grateful to our partners for enabling us to learn more about how to make computing education inclusive for all.

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One of the Raspberry Pi Foundation’s core values is our focus on impact. This means that we are committed to learning from the best available evidence, and to being rigorous and transparent about the difference we’re making.

Like many charities, an important part of our approach to achieving and measuring our impact is our theory of change. We are excited to launch a newly refreshed theory of change that reflects our mission and strategy to ensure that young people can realise their full potential through the power of computing and digital technologies.

What is a theory of change?

A theory of change describes the difference an organisation aims to make in the world, the actions it takes to achieve this, and the underlying assumptions about how its actions will create change.

It’s like a good cake recipe. It describes the ingredients and tools that are required, how these are combined, and what the results should be. But a theory of change goes further: it also addresses why you need the cake in the first place, and the reasons why the recipe will produce such a good cake if you follow it correctly!

What is the change we want to make?

Our theory of change begins with a statement of the problem that needs solving: too many young people are missing out on the enormous opportunities from digital technologies, and access to opportunities to learn depends too much on who you are and where you were born.

We want to see a world where young people can take advantage of the opportunities that computers and digital technologies offer to transform their own lives and communities, to contribute to society, and to help address the world’s challenges.

To help us empower young people to do this, we have identified three broad sets of outcomes that we should target, measure, and hold ourselves accountable for. These map roughly to the COM-B model of behaviour change. This model suggests that for change to be achieved, people need a combination of capabilities, opportunities, and motivation.

Our identified outcomes are that we support young people to:

1. Build knowledge and skills in computing
2. Understand the opportunities and risks associated with new technologies
3. Develop the mindsets to confidently engage with technological change

How do we make a difference?

We work at multiple levels throughout education systems and society, which together will achieve deep and long-lasting change for young people. We design learning experiences and initiatives that are fun and engaging, including hundreds of free coding and computing projects, the Coolest Projects showcase for young tech creators, and the European Astro Pi Challenge, which gives young people the chance to run their computer programs in space.

We also support teachers, youth workers, volunteers, and parents to develop their skills and knowledge, and equip them to inspire young people and help them learn. For example, The Computing Curriculum provides a complete bank of free lesson plans and other resources, and Experience AI is our educational programme that includes everything teachers need to deliver lessons on artificial intelligence and machine learning in secondary schools.

Finally, we aim to elevate the state of computing education globally by advocating for policy and systems change, and undertaking our own original research to deepen our understanding of how young people learn about computing.

How will we use our theory of change?

Our theory of change is an important part of our approach to evaluating the impact of our resources and programmes, and it informs all our monitoring and evaluation plans. These plans identify the questions we want to answer, key metrics to monitor, and the data sources we use to understand the impact we’re having and to gather feedback to improve our impact in future.

The theory of change also informs a shared outcomes framework that we are applying consistently across all of our products. This framework supports planning and helps keep us focused as we consider new opportunities to further our mission.

A final role our theory of change plays is to help communicate our mission to other stakeholders, and explain how we can work with our partners and communities to achieve change.

You can read our new theory of change here and if you have any questions or feedback on it, please do get in touch.

The post Our new theory of change appeared first on Raspberry Pi Foundation.

We are pleased to announce that we are renewing our partnership with Oak National Academy in England to provide an updated high-quality Computing curriculum and lesson materials for Key Stages 1 to 4.

New curriculum and materials for the classroom

In 2021 we partnered with Oak National Academy to offer content for schools in England that supported young people to learn Computing at home while schools were closed as a result of the coronavirus pandemic.

In our renewed partnership, we will create new and updated materials for primary and secondary teachers to use in the classroom. These classroom units will be available for free on the Oak platform and will include everything a teacher needs to deliver engaging lessons, including slide decks, worksheets, quizzes, and accompanying videos for over 550 lessons. The units will cover both the general national Computing curriculum and the Computer Science GCSE, supporting teachers to provide a high-quality Computing offering to all students aged 5 to 16.

These new resources will update the very successful Computing Curriculum and will be rigorously tested by a Computing subject expert group.

“I am delighted that we are continuing our partnership with Oak National Academy to support all teachers in England with world-leading resources for teaching Computing and Computer Science. This means that all teachers in England will have access to free, rigorous and tested classroom resources that they can adapt to suit their context and students.” – Philip Colligan, CEO

All our materials on the Oak platform will be free and openly available, and can be accessed by educators worldwide.

Research-informed, time-saving, and adaptable resources

As we did with The Computing Curriculum, we’ll design these teaching resources to model best practice, and they will be informed by leading research into pedagogy and computing education, as well as by user testing and feedback. 

The materials will bring teachers the added benefit of saving valuable time, and schools can choose to adapt and use the resources in the way that works best for their students

Supporting schools in England and worldwide

We have already started work and will begin releasing units of lessons in autumn 2024. All units across Key Stages 1 to 4 will be available by autumn 2025.

We’re excited to continue our partnership with Oak National Academy to provide support to teachers and students in England. 

And as always, our comprehensive classroom resources can be downloaded for free, by anyone in the world, from our website.

The post Supporting Computing in England through our renewed partnership with Oak National Academy appeared first on Raspberry Pi Foundation.

We offer Ada Computer Science as a platform to support educators and learners alike. But we don’t take its usefulness for granted: as part of our commitment to impact, we regularly gather user feedback and evaluate all of our products, and Ada is no exception. In this blog, we share some of the feedback we’ve gathered from surveys and interviews with the people using Ada.

What’s new on Ada?

Ada Computer Science is our online learning platform designed for teachers, students, and anyone interested in learning about computer science. If you’re teaching or studying a computer science qualification at school, you can use Ada Computer Science for classwork, homework, and revision. 

Launched last year as a partnership between us and the University of Cambridge, Ada’s comprehensive resources cover topics like algorithms, data structures, computational thinking, and cybersecurity. It also includes 1,000 self-marking questions, which both teachers and students can use to assess their knowledge and understanding. 

Throughout 2023, we continued to develop the support Ada offers. For example, we: 

• Added over 100 new questions
• Expanded code specimens to cover Java and Visual Basic as well as Python and C#
• Added an integrated way of learning about databases through writing and executing SQL
• Incorporated a beta version of an embedded Python editor with the ability to run code and compare the output with correct solutions 

A few weeks ago we launched two all-new topics about artificial intelligence (AI) and machine learning.

So far, all the content on Ada Computer Science is mapped to GCSE and A level exam boards in England, and we’ve just released new resources for the Scottish Qualification Authority’s Computer Systems area of study to support students in Scotland with their National 5 and Higher qualifications.

Who is using Ada?

Ada is being used by a wide variety of users, from at least 127 countries all across the globe. Countries where Ada is most popular include the UK, US, Canada, Australia, Brazil, India, China, Nigeria, Ghana, Kenya, China, Myanmar, and Indonesia.

Just over half of students using Ada are completing work set by their teacher. However, there are also substantial numbers of young people benefitting from using Ada for their own independent learning. So far, over half a million question attempts have been made on the platform.

How are people using Ada?

Students use Ada for a wide variety of purposes. The most common response in our survey was for revision, but students also use it to complete work set by teachers, to learn new concepts, and to check their understanding of computer science concepts.

Teachers also use Ada for a combination of their own learning, in the classroom with their students, and for setting work outside of lessons. They told us that they value Ada as a source of pre-made questions.

“I like having a bank of questions as a teacher. It’s tiring to create more. I like that I can use the finder and create questions very quickly.” — Computer science teacher, A level

“I like the structure of how it [Ada] is put together. [Resources] are really easy to find and being able to sort by exam board makes it really useful because… at A level there is a huge difference between exam boards.” — GCSE and A level teacher

What feedback are people giving about Ada?

Students and teachers alike were very positive about the quality and usefulness of Ada Computer Science. Overall, 89% of students responding to our survey agreed that Ada is useful for helping them to learn about computer science, and 93% of teachers agreed that it is high quality.

“The impact for me was just having a resource that I felt I always could trust.” — Head of Computer Science

Most teachers also reported that using Ada reduces their workload, saving an average of 3 hours per week.

“[Quizzes] are the most useful because it’s the biggest time saving…especially having them nicely self-marked as well.” — GCSE and A level computer science teacher

Even more encouragingly, Ada users report a positive impact on their knowledge, skills, and attitudes to computer science. Teachers report that, as a result of using Ada, their computer science subject knowledge and their confidence in teaching has increased, and report similar benefits for their students.

“They can easily…recap and see how they’ve been getting on with the different topic areas.” — GCSE and A level computer science teacher

“I see they’re answering the questions and learning things without really realising it, which is quite nice.” — GCSE and A level computer science teacher

How do we use people’s feedback to improve the platform?

Our content team is made up of experienced computer science teachers, and we’re always updating the site in response to feedback from the teachers and students who use our resources. We receive feedback through support tickets, and we have a monthly meeting where we comb through every wrong answer that students entered to help us identify new misconceptions. We then use all of this to improve the content, and the feedback we give students on the platform.

We’d love to hear from you

We’ll be conducting another round of surveys later this year, so when you see the link, please fill in the form. In the meantime, if you have any feedback or suggestions for improvements, please get in touch.

And if you’ve not signed up to Ada yet as a teacher or student, you can take a look right now over at adacomputerscience.org

The post How we’re creating more impact with Ada Computer Science appeared first on Raspberry Pi Foundation.

AI models for general-purpose programming, such as OpenAI Codex, which powers the AI pair programming tool GitHub Copilot, have the potential to significantly impact how we teach and learn programming. 

The basis of these tools is a ‘natural language to code’ approach, also called natural language programming. This allows users to generate code using a simple text-based prompt, such as “Write a simple Python script for a number guessing game”. Programming-specific AI models are trained on vast quantities of text data, including GitHub repositories, to enable users to quickly solve coding problems using natural language. 

As a computing educator, you might ask what the potential is for using these tools in your classroom. In our latest research seminar, Majeed Kazemitabaar (University of Toronto) shared his work in developing AI-assisted coding tools to support students during Python programming tasks.

Majeed argued that natural language programming can enable students to focus on the problem-solving aspects of computing, and support them in fixing and debugging their code. However, he cautioned that students might become overdependent on the use of ‘AI assistants’ and that they might not understand what code is being outputted. Nonetheless, Majeed and colleagues were interested in exploring the impact of these code generators on students who are starting to learn programming.

Using AI code generators to support novice programmers

In one study, the team Majeed works in investigated whether students’ task and learning performance was affected by an AI code generator. They split 69 students (aged 10–17) into two groups: one group used a code generator in an environment, Coding Steps, that enabled log data to be captured, and the other group did not use the code generator.

Learners who used the code generator completed significantly more authoring tasks — where students manually write all of the code — and spent less time completing them, as well as generating significantly more correct solutions. In multiple choice questions and modifying tasks — where students were asked to modify a working program — students performed similarly whether they had access to the code generator or not. 

A test was administered a week later to check the groups’ performance, and both groups did similarly well. However, the ‘code generator’ group made significantly more errors in authoring tasks where no starter code was given. 

Majeed’s team concluded that using the code generator significantly increased the completion rate of tasks and student performance (i.e. correctness) when authoring code, and that using code generators did not lead to decreased performance when manually modifying code. 

Finally, students in the code generator group reported feeling less stressed and more eager to continue programming at the end of the study.

Understanding how novices use AI code generators

In a related study, Majeed and his colleagues investigated how novice programmers used the code generator and whether this usage impacted their learning. Working with data from 33 learners (aged 11–17), they analysed 45 tasks completed by students to understand:

1. The context in which the code generator was used
2. What learners asked for
3. How prompts were written
4. The nature of the outputted code
5. How learners used the outputted code 

Their analysis found that students used the code generator for the majority of task attempts (74% of cases) with far fewer tasks attempted without the code generator (26%). Of the task attempts made using the code generator, 61% involved a single prompt while only 8% involved decomposition of the task into multiple prompts for the code generator to solve subgoals; 25% used a hybrid approach — that is, some subgoal solutions being AI-generated and others manually written.

In a comparison of students against their post-test evaluation scores, there were positive though not statistically significant trends for students who used a hybrid approach (see the image below). Conversely, negative though not statistically significant trends were found for students who used a single prompt approach.

Though not statistically significant, these results suggest that the students who actively engaged with tasks — i.e. generating some subgoal solutions, manually writing others, and debugging their own written code — performed better in coding tasks.

Majeed concluded that while the data showed evidence of self-regulation, such as students writing code manually or adding to AI-generated code, students frequently used the output from single prompts in their solutions, indicating an over-reliance on the output of AI code generators.

He suggested that teachers should support novice programmers to write better quality prompts to produce better code.  

If you want to learn more, you can watch Majeed’s seminar:

You can read more about Majeed’s work on his personal website. You can also download and use the code generator Coding Steps yourself.

Join our next seminar

The focus of our ongoing seminar series is on teaching programming with or without AI. 

For our next seminar on Tuesday 16 April at 17:00–18:30 GMT, we’re joined by Brett Becker (University College Dublin), who will discuss how generative AI may be effectively utilised in secondary school programming education and how it can be leveraged so that students can be best prepared for whatever lies ahead. To take part in the seminar, click the button below to sign up, and we will send you information about joining. We hope to see you there.

The schedule of our upcoming seminars is online. You can catch up on past seminars on our previous seminars and recordings page.

The post Using an AI code generator with school-age beginner programmers appeared first on Raspberry Pi Foundation.

We partner with educational organisations around the world to bring coding activities to young people in their regions through Code Club and CoderDojo. Currently involving 52 organisations in 41 countries, this Global Clubs Partner network shares our passion for empowering kids to create with technology.

A key aspect of how we foster the Global Clubs Partner network is to promote connections between partners. It’s one reason we host regular online meetings and regional in-person events, and connect partners one on one to facilitate information sharing. Today, we’re highlighting three stories from partner organisations that have benefited from working with each other.

Aruba and the Netherlands

In March 2023, the Foundation hosted the first Clubs Conference for educators and volunteers involved with Code Club and CoderDojo. As this event took place in Cambridge, UK, the majority of attendees were from the UK and Republic or Ireland, but a small number came from further away. Much further away, in some cases.

Bruce Harms and his colleague Thanya Croes (Full Stack Vision Foundation, Aruba) were attending the Clubs Conference to share their work to increase digital literacy in Aruba through CoderDojo clubs. At a special conference session for international attendees, they connected with Sanneke van der Meer and Marloes van der Meulen (CoderDojo Netherlands), who were also presenting as part of the session.

After the Clubs Conference, the two organisations remained in touch. Later in the year, Bruce and Thanya attended the DojoCon Netherlands 2023 in the Hague. ”It was an amazing day with great workshops and lots of other CoderDojo Champions”, Bruce said. He and Thanya have plans to invite the CoderDojo Netherlands team to Aruba and hope to collaborate on future projects together. 

Malawi and Tanzania

Sylvester Mtumbuka (Computers for Enhanced Education, Malawi) and Mrisho Habibu (AMCET Innovation Hub, Tanzania) first connected at our Global Clubs Partner meetup in Malaysia in late 2022. Sylvester said: “We were the only ones from Africa there and we are from neighbouring countries. We happen to have a lot of goals in common, and we started discussing possible opportunities for collaboration.”

The result is the Tanzania and Malawi (TaMa) Innovation Initiative, which is dedicated to fostering the educational, technological, and entrepreneurial development of young people in Tanzania and Malawi. It aims to empower young people in under-served communities, offering support for sustainable livelihoods and entrepreneurship, and it is already yielding great results.

As part of their ongoing partnerships with us, Sylvester and Mrisho attended our Global Clubs Partner meetup in South Africa a year later —  the perfect opportunity to sign their partnership agreement.

Greece and Portugal

A chance meeting between Homero Cardoso (TAGUSVALLEY, Portugal) and Manos Zeakis (CoderDojo in Greece) at DojoCon Netherlands 2022 in Almere had unexpected consequences. “We discussed a lot of things, including the difficulty in finding venues for our Dojos in Greece”, Manos said. “Then in October 2023, we met at a Global Clubs Partner call and we talked again. With Homero’s help I contacted a Greek company, and they were immediately enthusiastic about helping us. After a few weeks, the Nea Ionia Dojo was live and the first Ninjas had their first session!”

Homero added: “Getting to know Manos was transformative for me as well. Because of that chance encounter in Almere, this year 7th and 8th grade students are participating in Astro Pi Mission Zero for the first time, mostly due to the inspiring example of Manos’s United Dojos project presented at DojoCon.”

Could your organisation become a Global Clubs Partner?

To find out more about our Global Clubs Partner network and how your organisation might get involved, visit the CoderDojo or Code Club websites, or contact us directly about a partnership.

The post Fostering collaboration in the Global Clubs Partner network appeared first on Raspberry Pi Foundation.

It’s the last week of Black History Month 2024 in the USA, but by no means is the celebration over. The beautiful thing about history is that it’s not an isolated narrative about the past, but an ongoing dialogue in which we talk about how our collective past informs our present, and what more can be achieved in the future. The fact is this: we make history every single day. That’s why it’s so important for everyone to actively engage with history, and for us to celebrate the achievements of all.

When we talk about the history of STEM and computing, it’s necessary to highlight the achievements of people from groups that are still underrepresented in these fields: communities of colour, female and gender non-conforming people, people with disabilities, and underresourced communities. When we highlight their achievements, everyone can gain a fuller understanding of this history, and more young people from these groups can see they have a place in these fields and in moving them forward. 

[When young kids of colour help inform the technology they use,] we end up with technology that is more inclusive to diverse communities […], and we help the kids become creators instead of just consumers.

Qumisha Goss

So to keep the conversation going about Black history in STEM and computing and how people make it every day, today we’re highlighting stories of Black community members. You’ll find out how they got involved in coding and creating with technology, and who their Black role models in tech are — past and present.

Community spotlight: Qumisha Goss

Meet Qumisha Goss, a brilliant source of inspiration and a shining light for youth in the ‘Motor City’ of Detroit, Michigan, USA.

Growing up, Qumisha always had an interest in tech, often tinkering and putting projects together, and her interest quickly transformed into a dream of becoming an engineer one day. Fast forward to now, and Qumisha has done exactly that and so much more.

She’s the Interim Executive Director of Peer 2 Peer University, the Digital Literacy Subject Matter Expert for Connect 313, the Creator and Lead Instructor of Code Grow, and a Raspberry Pi Certified Educator. Talk about impact! We asked Qumisha a few questions to explore her incredible story and to learn how she’s giving back to her community today: 

Which Black individuals have helped pave the way for you?

Qumisha: “When I was a kid, my grandmas, Gloria and Cassandra, helped my brother and I make a shrinking machine out of a cardboard box, some batteries, and some lights. There was a minimum of science used, but my grandma swapped out our test ear of corn for a baby corn and my curiosity was rewarded with success. In elementary school, my ‘hero’ was Mae Carol Jemison, engineer, doctor, and astronaut. She was the first African American woman to go to space, in 1992 on the Endeavor. I found someone who looked like me who was doing something that I wanted to do, and that was encouraging.”

Why is it important to encourage diversity in tech?

Qumisha: “It’s important that young kids of colour help inform the technology that they use. The benefits are twofold: we end up with technology that is more inclusive to diverse communities because it is informed by them, and we help the kids become creators instead of just consumers.”

How did you find your way into tech?

Qumisha: “I eventually went to college to study engineering. I ended up switching majors and studying history and classical languages, but later returned to the tech world when I joined the Python and Raspberry Pi communities. I learned how to code outside of a traditional classroom and have been running physical computing classes and workshops for kids in my hometown of Detroit.”

How do you believe your work is paving the way for more Black excellence in tech?

Qumisha: “Even if kids don’t stick with it, they learn that coding — and lots of things — are not beyond them. The next Bill Gates might be sitting on the library stoop. The difference between them being able to make it or not is: ‘Did they ever get the opportunity to touch the thing that really sparks their genius?’ And for me, I want to help as many kids as possible interact with tech in a fun and engaging way so that they know that they can be technologists too.”

The difference between [kids] being able to make it or not is: ‘Did they ever get the opportunity to touch the thing that really sparks their genius?’

Qumisha Goss

To connect with Qumisha and learn how you can support the incredible, history-making work that she’s doing, follow her on X at @QatalystGoss.

Keep reading to meet more Black history makers across the USA, and to find resources to learn how you can help increase diversity in the technology sector in your community.  

Ways to continue celebrating Black history

Explore our research seminars for educators who want to learn how to make computer science more accessible to all.

Listen to the stories of other Black community members who are making history all over the US. Siblings Sophia and Sebastian, researcher Randi Williams, and aspiring filmmaker Jordan chatted to us about their interest in coding, tech, and getting creative with digital tools.

Try out one of our guided projects for young people to get creative with tech. Check out Coolest Projects, our free online showcase for young tech creators, and how you can get young people involved. 

And if you want to share the story of how you got into tech and how you’re inspiring kids to do the same, reach out to us on social media so we can amplify your voice. 

Happy Black History Month!

The post Black role models in tech are making history every day appeared first on Raspberry Pi Foundation.

How is computing taught around the globe? Our brand-new, free issue of Hello World, out today, paints a picture for you. It features stories from over 20 countries, where educators, researchers, and volunteers share their work and their personal challenges and joys in bringing computing education to their part of the world.

Global exchange in a worldwide community

In Hello World issue 23, you’ll hear about countries where computing is an official school subject and how it was set up that way, and you’ll hear about countries that are newer to computing education and working to fast-track their students’ learning.

• Ethel Tshukudu’s article on her research using the CAPE framework is a fascinating comparison of computer science education in four African countries
• Iliana Ramirez describes how volunteers are at the heart of Ciberistas, a technology training programme for young people in Mexico
• Matthew Griffin’s article highlights how computing education works in Canada, a large country with two official languages
• Dana Rensi’s article about a solar-powered Raspberry Pi computing lab in the middle of the Peruvian rainforest will surprise and delight you
• Randal Rousseau, a librarian in Cape Town, South Africa, shares how he teaches children to code through unplugged activities

And there is lots more for you to discover in issue 23.

Sue Sentance, director of the Raspberry Pi Computing Education Research Centre at the University of Cambridge, says in her article:

“Our own experience of implementing computing education in England since 2014 has shown the importance of teachers supporting each other, and how various networks … are instrumental in bringing computing teachers together to share knowledge and experiences. With so many countries introducing computing education, and teachers around the globe facing similar challenges, maybe we need to extend this to a global teacher network, where teachers and policymakers can share good practice and learn from each other. “

We aim for Hello World magazine to be one of the places where this sharing, exchange, and learning can take place. Subscribe for free to never miss an issue, and find out how you can write for the magazine.

Download Hello World issue 23 for free

Research highlights the importance of computing education to young people’s futures, whether or not they pursue a degree or career in the area. From teaching computing in schools where the electricity cuts out, to incorporating artificial intelligence into curricula in different countries, and to teaming up with local governments when there isn’t a national computing curriculum, educators are doing wonderful things around the globe to make sure the young people they support have the opportunity to learn. Read their stories today.

Also in issue 23:

• Research on culturally adapted resources 
• How community building enhances computing education
• Tips for hosting a STEM event in school

And much, much more.

Send us a message or tag us on social media to let us know which articles have made you think, and most importantly, which will help you with your teaching. And to hear monthly news about Hello World and the whole Raspberry Pi Foundation, sign up to the Hello World newsletter.

The post Hello World #23 out now: Global exchange of computing education ideas appeared first on Raspberry Pi Foundation.

The use of generative AI tools (e.g. ChatGPT) in education is now common among young people (see data from the UK’s Ofcom regulator). As a computing educator or researcher, you might wonder what impact generative AI tools will have on how young people learn programming. In our latest research seminar, Barbara Ericson and Xinying Hou (University of Michigan) shared insights into this topic. They presented recent studies with university student participants on using generative AI tools based on large language models (LLMs) during programming tasks. 

Using Parson’s Problems to scaffold student code-writing tasks

Barbara and Xinying started their seminar with an overview of their earlier research into using Parson’s Problems to scaffold university students as they learn to program. Parson’s Problems (PPs) are a type of code completion problem where learners are given all the correct code to solve the coding task, but the individual lines are broken up into blocks and shown in the wrong order (Parsons and Haden, 2006). Distractor blocks, which are incorrect versions of some or all of the lines of code (i.e. versions with syntax or semantic errors), can also be included. This means to solve a PP, learners need to select the correct blocks as well as place them in the correct order.

In one study, the research team asked whether PPs could support university students who are struggling to complete write-code tasks. In the tasks, the 11 study participants had the option to generate a PP when they encountered a challenge trying to write code from scratch, in order to help them arrive at the complete code solution. The PPs acted as scaffolding for participants who got stuck trying to write code. Solutions used in the generated PPs were derived from past student solutions collected during previous university courses. The study had promising results: participants said the PPs were helpful in completing the write-code problems, and 6 participants stated that the PPs lowered the difficulty of the problem and speeded up the problem-solving process, reducing their debugging time. Additionally, participants said that the PPs prompted them to think more deeply.

This study provided further evidence that PPs can be useful in supporting students and keeping them engaged when writing code. However, some participants still had difficulty arriving at the correct code solution, even when prompted with a PP as support. The research team thinks that a possible reason for this could be that only one solution was given to the PP, the same one for all participants. Therefore, participants with a different approach in mind would likely have experienced a higher cognitive demand and would not have found that particular PP useful.

Supporting students with varying self-efficacy using PPs

To understand the impact of using PPs with different learners, the team then undertook a follow-up study asking whether PPs could specifically support students with lower computer science self-efficacy. The results show that study participants with low self-efficacy who were scaffolded with PPs support showed significantly higher practice performance and higher problem-solving efficiency compared to participants who had no scaffolding. These findings provide evidence that PPs can create a more supportive environment, particularly for students who have lower self-efficacy or difficulty solving code writing problems. Another finding was that participants with low self-efficacy were more likely to completely solve the PPs, whereas participants with higher self-efficacy only scanned or partly solved the PPs, indicating that scaffolding in the form of PPs may be redundant for some students.

These two studies highlighted instances where PPs are more or less relevant depending on a student’s level of expertise or self-efficacy. In addition, the best PP to solve may differ from one student to another, and so having the same PP for all students to solve may be a limitation. This prompted the team to conduct their most recent study to ask how large language models (LLMs) can be leveraged to support students in code-writing practice without hindering their learning.

Generating personalised PPs using AI tools

This recent third study focused on the development of CodeTailor, a tool that uses LLMs to generate and evaluate code solutions before generating personalised PPs to scaffold students writing code. Students are encouraged to engage actively with solving problems as, unlike other AI-assisted coding tools that merely output a correct code correct solution, students must actively construct solutions using personalised PPs. The researchers were interested in whether CodeTailor could better support students to actively engage in code-writing.

In a study with 18 undergraduate students, they found that CodeTailor could generate correct solutions based on students’ incorrect code. The CodeTailor-generated solutions were more closely aligned with students’ incorrect code than common previous student solutions were. The researchers also found that most participants (88%) preferred CodeTailor to other AI-assisted coding tools when engaging with code-writing tasks. As the correct solution in CodeTailor is generated based on individual students’ existing strategy, this boosted students’ confidence in their current ideas and progress during their practice. However, some students still reported challenges around solution comprehension, potentially due to CodeTailor not providing sufficient explanation for the details in the individual code blocks of the solution to the PP. The researchers argue that text explanations could help students fully understand a program’s components, objectives, and structure. 

In future studies, the team is keen to evaluate a design of CodeTailor that generates multiple levels of natural language explanations, i.e. provides personalised explanations accompanying the PPs. They also aim to investigate the use of LLM-based AI tools to generate a self-reflection question structure that students can fill in to extend their reasoning about the solution to the PP.

Barbara and Xinying’s seminar is available to watch here: 

Find examples of PPs embedded in free interactive ebooks that Barbara and her team have developed over the years, including CSAwesome and Python for Everybody. You can also read more about the CodeTailor platform in Barbara and Xinying’s paper.

Join our next seminar

The focus of our ongoing seminar series is on teaching programming with or without AI. 

For our next seminar on Tuesday 12 March at 17:00–18:30 GMT, we’re joined by Yash Tadimalla and Prof. Mary Lou Maher (University of North Carolina at Charlotte). The two of them will share further insights into the impact of AI tools on the student experience in programming courses. To take part in the seminar, click the button below to sign up, and we will send you information about joining. We hope to see you there.

The schedule of our upcoming seminars is online. You can catch up on past seminars on our previous seminars and recordings page.

The post Supporting learners with programming tasks through AI-generated Parson’s Problems appeared first on Raspberry Pi Foundation.

Big news for young coders and everyone who supports them: project registration is now open for Coolest Projects 2024! Coolest Projects is our global technology showcase for young people aged up to 18. It gives young creators the incredible opportunity to share the cool stuff they’ve made with digital technology with a global audience, and receive certificates and rewards to celebrate their achievements.

What you need to know about Coolest Projects

The Coolest Projects online showcase is open to young people worldwide. Young creators can register their projects to share them with the world in our online project gallery, and join our exciting livestream event to celebrate what they have made with the global Coolest Projects community.

By taking part in Coolest Projects, young people can join an international community of young makers, represent their country, receive personalised feedback on their projects, and get certificates and more to recognise their achievements.

Here’s how it works:

• Coolest Projects is completely free to take part in!
• All digital technology projects are welcome, from very first projects to advanced builds, and the projects don’t have to be complete
• Projects can be registered in one of six categories: Scratch, games, web, mobile apps, hardware, and advanced programming
• Young creators up to age 18 can take part individually or in teams of up to five friends
• Any young person anywhere in the world can take part in the online showcase, and there are in-person events in some countries for local creators too (find out more below)
• Registration for the online showcase is now open and closes on 22 May 2024
• All creators, mentors, volunteers, teachers, parents, and supporters are invited to the special celebration livestream on 26 June 2024

Taking part in Coolest Projects is simple:

• Young people think of an idea for their project, or choose something they’ve already made and are proud of
• Young people work with friends to create their project, or make it on their own 
• Creators (with the help of mentors if needed) register projects via the Coolest Projects website by 22 May
• Creators’ projects are shared with the world in the online showcase gallery
• Creators, mentors, and supporters explore the amazing projects in the online gallery, and join the livestream on 26 June to celebrate young creators’ achievements with the Coolest Projects community worldwide

Coolest Projects in-person events in 2024

As well as the global online showcase, Coolest Projects in-person events are held for young people locally in certain countries too, and we encourage creators to take part in both the online showcase and their local in-person event.

In 2024, creators can look forward to the following in-person events, run by us and partner organisations around the world:

• Coolest Projects Ireland, 13 April 2024 (run by us)
• Coolest Projects Belgium, 20 April 2024 (run by CoderDojo Belgium)
• Coolest Projects UK, 11 May 2024 (run by us)
• Coolest Projects Ghana, 1 June 2024 (run by Ghana Code Club)
• Coolest Projects Sri Lanka, 6 July 2024 (run by STEMUp Educational Foundation)

More events are coming soon, so sign up to the Coolest Projects newsletter to be sure to hear about any in-person events in your country. And if there isn’t an event near you, don’t worry. The online showcase is open to any young person anywhere in the world.

Help for you is at hand

Coolest Projects welcomes all digital tech projects, from beginner to advanced, and there are loads of great resources available to help you support the young people in your community to take part.

We are running a series of online calls and webinars for mentors and young people to share practical tips and help participants develop their ideas and build their creations. Sign up for the sessions here. All sessions will be recorded, so you can watch them back if you can’t join live.

You can also check out the Coolest Projects guidance page for resources to help you support young people throughout their Coolest Projects journey, including a mentor guide and session plans.

To inspire your coders, encourage them to take a look at the 2023 showcase gallery, where they can explore the incredible projects submitted by participants last year.

Our projects site is also a great place for participants to begin — there are hundreds of free step-by-step project guides to help young people create their own projects, whether they’re experienced tech creators or they’re just getting started.

Sign up for Coolest Projects updates

There’s lots more exciting news to come, from the announcement of our VIP judges to details about this year’s swag, so sign up for email updates to be the first to know. And whether your coders have already made something fun, innovative, or amazing that they want to share, or they’re inspired to make something new, Coolest Projects is the place for them. We can’t wait to see what they create!

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You can now access classroom resources created by us for the T Level in Digital Production, Design and Development. T Levels are a type of vocational qualification young people in England can gain after leaving school, and we are pleased to be able to support T Level teachers and students.

With our new resources, we aim to empower more young people to develop their digital skills and confidence while studying, meaning they can access more jobs and opportunities for further study once they finish their T Levels.

We worked collaboratively with the Gatsby Charitable Foundation on this pilot project as part of their Technical Education Networks Programme, the first time that we have created classroom resources for post-16 vocational education.

Post-16 vocational training and T Levels

T Levels are Technical Levels, 2-year courses for 16- to 18-year-old school leavers. Launched in England in September 2020, T Levels cover a range of subjects and have been developed in collaboration with employers, education providers, and other organisations. The aim is for T Levels to specifically prepare young people for entry into skilled employment, an apprenticeship, or related technical study in further or higher education.

For us, this T Level pilot project follows on from work we did in 2022 to learn more about post-16 vocational training and identify gaps where we could make a difference. 

Something interesting we found was the relatively low number of school-age young people who started apprenticeships in the UK in 2019/20. For example, a 2021 Worldskills UK report stated that only 18% of apprentices were young people aged 19 and under. 39% were aged 19-24, and the remaining 43% were people aged 25 and over.

To hear from young people about their thoughts directly, we spoke to a group of year 10 students (ages 14 to 15) at Gladesmore School in Tottenham. Two thirds of these students said that digital skills were ‘very important’ to them, and that they would consider applying for a digital apprenticeship or T Level. When we asked them why, one of the key reasons they gave was the opportunity to work and earn money, rather than moving into further study in higher education and paying tuition fees. One student’s answer was for example, “It’s a good way to learn new skills while getting paid, and also gives effective work experience.”

T Level curriculum materials and project brief

To support teachers in delivering the Digital Production, Design and Development T Level qualification, we created a new set of resources: curriculum materials as well a project brief with examples to support the Occupational Specialism component of the qualification. 

The curriculum materials on the topic ‘Digital environments’ cover content related to computer systems including hardware, software, networks, and cloud environments. They are designed for teachers to use in the classroom and consist of a complete unit of work: lesson plans, slide decks, activities, a progression chart, and assessment materials. The materials are designed in line with our computing content framework and pedagogy principles, on which the whole of our Computing Curriculum is based.

The project brief is a real-world scenario related to our work and gives students the opportunity to problem-solve as though they are working in an industry job.

Access the T Level resources

The T Level project brief materials are available for download now, with the T Level classroom materials coming in the next few weeks.

We hope T Level teachers and students find the resources useful and interesting — if you’re using them, please let us know your thoughts and feedback.

Our thanks to the Gatsby Foundation for collaborating with us on this work to empower more young people to fulfil their potential through the power of computing and digital technologies.

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Everyone who has taught children before will know the excited gleam in their eyes when the lessons include something to interact with physically. Whether it’s printed and painstakingly laminated flashcards, laser-cut models, or robots, learners’ motivation to engage with the topic will increase along with the noise levels in the classroom.

However, these hands-on activities are often seen as merely a technique to raise interest, or a nice extra project for children to do before the ‘actual learning’ can begin. But what if this is the wrong way to think about this type of activity? 

How do children learn?

In our 2023 online research seminar series, focused on computing education for primary-aged (K–5) learners, we delved into the most recent research aimed at enhancing learning experiences for students in the earliest stages of education. From a deep dive into teaching variables to exploring the integration of computational thinking, our series has looked at the most effective ways to engage young minds in the subject of computing.

It’s only fitting that in our final seminar in the series, Anaclara Gerosa from the University of Glasgow tackled one of the most fundamental questions in education: how do children actually learn? Beyond the conventional methods, emerging research has been shedding light on a fascinating approach — the concept of grounded cognition. This theory suggests that children don’t merely passively absorb knowledge; they physically interact with it, quite literally ‘grasping’ concepts in the process.

Grounded cognition, also known in variations as embodied and situated cognition, offers a new perspective on how we absorb and process information. At its core, this theory suggests that all cognitive processes, including language and thought, are rooted in the body’s dynamic interactions with the environment. This notion challenges the conventional view of learning as a purely cognitive activity and highlights the impact of action and simulation.

There is evidence from many studies in psychology and pedagogy that using hands-on activities can enhance comprehension and abstraction. For instance, finger counting has been found to be essential in understanding numerical systems and mathematical concepts. A recent study in this field has shown that children who are taught basic computing concepts with unplugged methods can grasp abstract ideas from as young as 3. There is therefore an urgent need to understand exactly how we could use grounded cognition methods to teach children computing — which is arguably one of the most abstract subjects in formal education.

A recent study in this field has shown that children who are taught basic computing concepts with unplugged methods can grasp abstract ideas from as young as 3.

A new framework for teaching computing

Anaclara is part of a group of researchers at the University of Glasgow who are currently developing a new approach to structuring computing education. Their EIFFEL (Enacted Instrumented Formal Framework for Early Learning in Computing) model suggests a progression from enacted to formal activities.

Following this model, in the early years of computing education, learners would primarily engage with activities that allow them to work with tangible 3D objects or manipulate intangible objects, for instance in Scratch. Increasingly, students will be able to perform actions in an instrumented or virtual environment which will require the knowledge of abstract symbols but will not yet require the knowledge of programming languages. Eventually, students will have developed the knowledge and skills to engage in fully formal environments, such as writing advanced code.

In a recent literature review, Anaclara and her colleagues looked at existing research into using grounded cognition theory in computing education. Although several studies report the use of grounded approaches, for instance by using block-based programming, robots, toys, or construction kits, the focus is generally on looking at how concrete objects can be used in unplugged activities due to specific contexts, such as a limited availability of computing devices.

The next steps in this area are looking at how activities that specifically follow the EIFFEL framework can enhance children’s learning. 

You can watch Anaclara’s seminar here: 

You can also access the presentation slides here.

Try grounded activities in your classroom

Research into grounded cognition activities in computer science is ongoing, but we encourage you to try incorporating more hands-on activities when teaching younger learners and observing the effects yourself. Here are a few ideas on how to get started:

• Try out one of our hands-on lessons and learning activities for young learners from The Computing Curriculum. For example, in this Programming unit for Year 1 learners (aged 5–6), students learn how to program with the help of reenactments and classroom robots.
• Explore the ‘Teach Data Literacy’ guide, developed by the Data Education in Schools team, which offers some practical activities to support young learners to develop their data literacy skills. You can find out more about the Data Education in Schools initiative in Kate Farrell and Judy Robertson’s seminar on teaching primary learners how to be data citizens from May 2023.
• Check out Barefoot Computing, which offers a range of resources for early years education that involve physical manipulation and simulation.

Join us at our next seminar

In 2024, we are exploring different ways to teach and learn programming, with and without AI tools. In our next seminar, on 13 February at 17:00 GMT, Majeed Kazemi from the University of Toronto will be joining us to discuss whether AI-powered code generators can help K–12 students learn to program in Python. All of our online seminars are free and open to everyone. Sign up and we’ll send you the link to join on the day.

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We’re currently trialling the full integration of our Code Editor in some of the projects on our Projects site, with the aim of providing a seamless experience for young learners. Our Projects site provides hundreds of free coding projects with step-by-step instructions for young people to use at school, in Code Clubs and CoderDojo clubs, and at home. When learners make text-based programming projects in our Python and web design project paths, they use our Code Editor to write and run code in a web browser.

Our new integrated learning experience allows young people to follow the project instructions and work in the Code Editor in a single window. By providing a simpler workspace, where learners do not need to switch between windows to read instructions and input code, we aim to reduce cognitive load and make it easier for young people to learn.

How the new integrated experience works

In the integrated project workspace, learners can access the project instructions, coding area, and output (where they can see what they have made) all in the same view. We have reorganised the project guides into short, easy-to-follow steps made up of simple instructions, including code snippets and modelled examples, for learners to work through to create their projects. The project guides feature fresh designs for different types of learning content, such as instruction steps, concept steps, code snippets, tips, and debugging help.

We have also optimised this learning experience for young people using mobiles and tablets. On mobile devices, a new ‘Steps’ tab appears alongside the ‘Code’ and ‘Output’ tabs, enabling learners to easily navigate to the project guide and follow the steps to make their projects.

Try out our new learning experience

We are testing our new integrated learning experience as a beta version in three projects: 

• Hello world (part of our ‘Introduction to Python’ project path) 
• Target practice (part of our ‘Introduction to Python’ project path) 
• Anime expressions (part of our ‘Introduction to web development’ project path) 

In each of these projects, young people can choose to complete the original version of the project, with the project instructions and Code Editor in separate windows, or click the button on the project page to try out the new integrated learning experience.

We’d love to hear how your young learners get on with this new integrated experience. Try it out in the three projects above and share your feedback with us here.

Code Editor developments have been made possible with generous support from the Cisco Foundation.

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In our series of community stories, we celebrate some of the wonderful things young people and educators around the world are achieving through the power of technology. 

In our latest story, we’re heading to Vivek High School in Mohali, India, to meet Sahibjot, a 14-year-old coding enthusiast who has taken his hobby to the next level thanks to mentorship, Code Club, and the exciting opportunity to take part in the Coolest Projects 2023 global online showcase.

Introducing Sahibjot

When he was younger, Sahibjot loved playing video games. His interest in gaming led him to discover the world of game development, and he was inspired to find out more and try it out himself. He began to learn to code in his spare time, using tutorials to help him develop his skills.

Keen to share the joy he had experienced from gaming, Sahibjot set himself the challenge of creating a game for his cousin. This project cemented his enthusiasm for coding and developing games of his own.

“I always felt that I have played so many games in my life, why not make one and others will enjoy the same experience that I had as a child.

For my cousin, I made a personal game for him, and he played it and he liked it very much, so once he played it, I felt that, yes, this is what I want to do with my life.” – Sahibjot

Mentorship and collaboration

While continuing to hone his computing skills at home, Sahibjot heard that his school had started a Code Club. After initially feeling nervous about joining, his enthusiasm was bolstered by the club mentor, Rajan, talking about artificial intelligence and other interesting topics during the session, and he soon settled in. 

At Code Club, with support and encouragement from Rajan, Sahibjot continued to develop and grow his coding skills. Alongside his technical skills, he also learned about teamwork and working collaboratively. He embraced the opportunity to help his peers, sharing his knowledge with others and becoming a mentor for younger club members. 

“Last year, we joined this coding club together and we became friends. He’s a very friendly person. Whenever we need him, he just quickly helps us. He helps us to troubleshoot, find any bugs, or even fix our codes.” – Akshat, fellow Code Club member

A global opportunity

The next step for Sahibjot came when Rajan introduced him and his fellow Code Club members to Coolest Projects. Coolest Projects is a celebration of young digital creators and the amazing things they make with technology. It offers participants the opportunity to share their tech creations in a global, online showcase, and local in-person events celebrating young creators are also held in several countries.

Sahibjot was eager to take part and showcase what he had made. He submitted a Python project, a ping-pong game, to the online showcase, and was very excited to then see his creation receive a special shout-out during the Coolest Projects global livestream event. He was delighted to share this achievement with his friends and family, and he felt proud to be representing his school and his country on a global stage.

“I told everyone around me that there was going to be a livestream and I possibly might be featured in that, so that was really exciting. I learned a lot about just not representing my school and myself as an individual, I learned about representing my whole nation.” — Sahibjot

Sahibjot’s passion for computing has helped shape his aspirations and ambitions. Looking to the future, he hopes to use his technology skills to benefit others and make an impact.

“Using code and technology and all of the things like that, I aspire to make effort to do something with the world, like help out people with technology.” — Sahibjot

Inspire young creators like Sahibjot

To find out how you and young creators you know can get involved in Coolest Projects, visit coolestprojects.org. If the young people in your community are just starting out on their computing journey, visit our projects site for free, fun beginner coding projects.

For more information to help you set up a Code Club in your school, visit codeclub.org.

Join us in celebrating Sahibjot’s inspiring journey by sharing his story on X (formerly Twitter), LinkedIn, and Facebook.

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With the rapid advances in digital technologies like artificial intelligence, it’s more important than ever that every young person has the opportunity to learn how computers are being used to change the world and to develop the skills and confidence to get creative with technology. 

There’s no better way to develop those abilities (super powers even) than getting hands-on experience of programming, whether that’s coding an animation, designing a game, creating a website, building a robot buggy, or training an AI classification model. That’s what tens of thousands of young people do every day in Code Clubs all over the world. 

Lessons at 10 

We were absolutely thrilled to organise a Code Club at Number Ten Downing Street last week, hosted by the UK Prime Minister’s wife Akshata Murty as part of Lessons at 10.

Lessons at 10 is an initiative to bring school children from all over the UK into Number Ten Downing Street, the official residence of the Prime Minister. Every week different schools visit to attend lessons led by education partners covering all kinds of subjects. 

We ran a Code Club for 20 Year 7 students (ages 11 to 12) from schools in Coventry and Middlesex. The young people had a great time with the Silly eyes and Ghostbusters projects from our collections of Scratch projects. Both stone-cold classics in my opinion, and a great place to start if you’re new to programming.

You may have spotted in the photos that the young people were programming on Raspberry Pi computers (the incredible Raspberry Pi 400 made in Wales). We also managed to get our hands on some cool new monitors. 

Mrs Murty’s father was one of the founders of Infosys, which ranks among the world’s most successful technology companies, founded in India and now operating all over the world. So it is perhaps no surprise that she spoke eloquently to the students about the importance of every young person learning about technology and seeing themselves as digital creators not consumers.

We were lucky enough to be in one of the rather fancy rooms in Number Ten, featuring a portrait by John Constable of his niece Ada Lovelace, the world’s first computer programmer. Mrs Murty reminded us that one of the lessons we learn from Ada Lovelace is that computer programming combines both the logical and artistic aspects of human intelligence. So true. 

A global movement 

Since Code Club’s launch in April 2012, it has grown to be the world’s largest movement of free computing clubs and has supported over 2 million young people to get creative with technology.

Code Clubs provide a free, fun, and safe environment for young people from all backgrounds to develop their digital skills. Run by teachers and volunteers, most Code Clubs take place in schools, and there are also lots in libraries and other community venues. 

The Raspberry Pi Foundation provides a broad range of projects that young people use to build their confidence and skills with lots of different hardware and software. The ultimate goal is that they are empowered to combine their logical and artistic skills to create something original. Just like Ada Lovelace did all those years ago.

All of our projects are designed to be self-directed, so young people can learn independently or in groups. That means that you don’t need to be a tech expert to set up or run a Code Club. We provide you with all the support that you need to get started.

If you want to find out more about how to set up a Code Club, visit the website here.

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Since November, registration is open for Mission Space Lab, part of the European Astro Pi Challenge 2023/24. The Astro Pi Challenge is an ESA Education project run in collaboration with us here at the Raspberry Pi Foundation that gives young people up to age 19 the amazing opportunity to write computer programs that run on board the International Space Station (ISS). It is free to take part and young people can participate in two missions: Mission Zero, designed for beginners, and Mission Space Lab, designed for more experienced coders.

This year, Mission Space Lab has a brand-new format. As well as introducing a new activity for teams to work on, we have created new resources to support teams and mentors, and developed a special tool to help teams test their programs. 

A big motivator for these changes was to make the activity more accessible and enable more young people to have their code run in space. Listening to feedback from participants and mentors, we are creating the opportunity for even more teams to submit programs that run on the ISS this year, by offering a specific activity and providing more extensive support materials.

A scientific task

For this year’s mission, ESA astronauts have given teams a specific scientific task to solve: to calculate the speed that the ISS is travelling as it orbits the Earth. People working in science often investigate a specific phenomenon or try to solve a particular problem. They have to use their knowledge and skills and the available tools to find ways to answer their research question. For Mission Space Lab, teams will work just like this. They will look at what sensors are available on the Astro Pi computers on board the ISS, develop a solution, and then write a Python program to execute it. To test their program, they will use the new Astro Pi Replay software tool we’ve created, which simulates running their program on board the ISS.

To help teams and mentors take part in Mission Space Lab, we are providing a variety of supporting materials:

• Our mentor guide has everything mentors need to support their teams through Mission Space Lab, including guidance for structuring the mission and tips to help teams solve problems.
• Our creator guide helps young people design and create their programs. It provides information and technical instructions to help young people develop their coding skills and create a program that can be run on the Astro Pis on board the ISS.
• We have created an ISS speed project guide that shows an example of how the scientific task can be solved using photos captured by the Astro Pi’s camera.

We have also run virtual sessions to help mentors and teams familiarise themselves with the new Mission Space Lab activity, and to ask any technical questions they might have. You can watch the recordings of these sessions on YouTube: 

• Getting started with Astro Pi Mission Space Lab
• Astro Pi Mission Space Lab live Q&A

The Astro Pi Replay tool

Astro Pi Replay is a new simulation tool that we have developed to support Mission Space Lab teams to test their programs. The tool simulates running programs on the Astro Pi computers on board the ISS. It is a Python library available as a plug-in to install in the Thonny IDE where teams write their programs. Thanks to this tool, teams can develop and test their programs on any computer that supports Python, without the need for hardware like the Astro Pi units on board the ISS.

The Astro Pi Replay tool works by replaying a data set captured by a Mission Space Lab team in May 2023. The data set includes readings from the Astro Pi ‘s sensors, and images taken by its visible-light camera like the ones below. Whenever teams run their programs in Thonny with Astro Pi Replay, the tool replays some of this historical data. That means teams can use the historical data to test their programs and calculations.

One of the benefits of using this simulation tool is that it gives teams a taste of what they can expect if their program is run on the ISS. By replaying a sequence of data captured by the Astro Pis in space, teams using sensors will be able to see what kind of data can be collected, and teams using the camera will be able to see some incredible Earth observation images.

If you’re curious about how Astro Pi Replay works, you’ll be pleased to hear we are making it open source soon. That means you’ll be able to look at the source code and find out exactly what the library does and how.

Get involved

Community members have consistently reported how amazing it is for teams to receive unique Earth observation photos and sensor data from the Astro Pis, and how great the images and data are to inspire young people to participate in their computing classes, clubs, or events. Through the changes we’ve made to Mission Space Lab this year, we want to support as many young people as possible to have the opportunity to engage in space science and capture their own data from the ISS. 

If you want a taste of how fantastic Astro Pi is for learners, watch the story of St Joseph’s, a rural Irish school where participating in Astro Pi has inspired the whole community.

Submissions for Mission Space Lab 2023/24 are open until 19 February 2024, so there’s still time to take part! You can find full details and eligibility criteria at astro-pi.org/mission-space-lab.

If you have any questions about the European Astro Pi Challenge, please get in touch at [email protected].

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“Computational thinking is really about thinking, and sometimes about computing.” – Aman Yadav, Michigan State University

Computational thinking is a vital skill if you want to use a computer to solve problems that matter to you. That’s why we consider computational thinking (CT) carefully when creating learning resources here at the Raspberry Pi Foundation. However, educators are increasingly realising that CT skills don’t just apply to writing computer programs, and that CT is a fundamental approach to problem-solving that can be extended into other subject areas. To discuss how CT can be integrated beyond the computing classroom and help introduce the fundamentals of computing to primary school learners, we invited Dr Aman Yadav from Michigan State University to deliver the penultimate presentation in our seminar series on computing education for primary-aged children. 

In his presentation, Aman gave a concise tour of CT practices for teachers, and shared his findings from recent projects around how teachers perceive and integrate CT into their lessons.

Research in context

Aman began his talk by placing his team’s work within the wider context of computing education in the US. The computing education landscape Aman described is dominated by the National Science Foundation’s ambitious goal, set in 2008, to train 10,000 computer science teachers. This objective has led to various initiatives designed to support computer science education at the K–12 level. However, despite some progress, only 57% of US high schools offer foundational computer science courses, only 5.8% of students enrol in these courses, and just 31% of the enrolled students are female. As a result, Aman and his team have worked in close partnership with teachers to address questions that explore ways to more meaningfully integrate CT ideas and practices into formal education, such as:

• What kinds of experiences do students need to learn computing concepts, to be confident to pursue computing?
• What kinds of knowledge do teachers need to have to facilitate these learning experiences?
• What kinds of experiences do teachers need to develop these kinds of knowledge? 

The CT4EDU project

At the primary education level, the CT4EDU project posed the question “What does computational thinking actually look like in elementary classrooms, especially in the context of maths and science classes?” This project involved collaboration with teachers, curriculum designers, and coaches to help them conceptualise and implement CT in their core instruction.

During professional development workshops using both plugged and unplugged tasks, the researchers supported educators to connect their day-to-day teaching practice to four foundational CT constructs:

1. Debugging
2. Abstraction
3. Decomposition
4. Patterns

An emerging aspect of the research team’s work has been the important relationship between vocabulary, belonging, and identity-building, with implications for equity. Actively incorporating CT vocabulary in lesson planning and classroom implementation helps students familiarise themselves with CT ideas: “If young people are using the language, they see themselves belonging in computing spaces”. 

A main finding from the study is that teachers used CT ideas to explicitly engage students in metacognitive thinking processes, and to help them be aware of their thinking as they solve problems. Rather than teachers using CT solely to introduce their students to computing, they used CT as a way to support their students in whatever they were learning. This constituted a fundamental shift in the research team’s thinking and future work, which is detailed further in a conceptual article. 

The Smithsonian Science for Computational Thinking project

The work conducted for the CT4EDU project guided the approach taken in the Smithsonian Science for Computational Thinking project. This project entailed the development of a curriculum for grades 3 and 5 that integrates CT into science lessons.

Part of the project included surveying teachers about the value they place on CT, both before and after participating in professional development workshops focused on CT. The researchers found that even before the workshops, teachers make connections between CT and the rest of the curriculum. After the workshops, an overwhelming majority agreed that CT has value (see image below). From this survey, it seems that CT ties things together for teachers in ways not possible or not achieved with other methods they’ve tried previously.  

Despite teachers valuing the CT approach, asking them to integrate coding into their practices from the start remains a big ask (see image below). Many teachers lack knowledge or experience of coding, and they may not be curriculum designers, which means that we need to develop resources that allow teachers to integrate CT and coding in natural ways. Aman proposes that this requires a longitudinal approach, working with teachers over several years, using plugged and unplugged activities, and working closely with schools’ STEAM or specialist technology teachers where applicable to facilitate more computationally rich learning experiences in classrooms.

Integrated computational thinking

Aman’s team is also engaged in a research project to integrate CT at middle school level for students aged 11 to 14. This project focuses on the question “What does CT look like in the context of social studies, English language, and art classrooms?”

For this project, the team conducted three Delphi studies, and consequently created learning pathways for each subject, which teachers can use to bring CT into their classrooms. The pathways specify practices and sub-practices to engage students with CT, and are available on the project website. The image below exemplifies the CT integration pathways developed for the arts subject, where the relationship between art and data is explored from both directions: by using CT and data to understand and create art, and using art and artistic principles to represent and communicate data. 

Computational thinking in the primary classroom

Aman’s work highlights the broad value of CT in education. However, to meaningfully integrate CT into the classroom, Aman suggests that we have to take a longitudinal view of the time and methods required to build teachers’ understanding and confidence with the fundamentals of CT, in a way that is aligned with their values and objectives. Aman argues that CT is really about thinking, and sometimes about computing, to support disciplinary learning in primary classrooms. Therefore, rather than focusing on integrating coding into the classroom, he proposes that we should instead talk about using CT practices as the building blocks that provide the foundation for incorporating computationally rich experiences in the classroom. 

Watch the recording of Aman’s presentation:

You can access Aman’s seminar slides as well.

You can find out more about connecting research to practice for primary computing education by watching the recordings of the other seminars in our series on primary (K–5) teaching and learning. In particular, Bobby Whyte discusses similar concepts to Aman in his talk on integrating primary computing and literacy through multimodal storytelling. 

Sign up for our seminars

Our 2024 seminar series is on the theme of teaching programming, with or without AI. In this series, we explore the latest research on how teachers can best support school-age learners to develop their programming skills.

On 13 February, we’ll hear from Majeed Kazemi (University of Toronto) about his work investigating whether AI code generator tools can support K-12 students to learn Python programming.

Sign up now to join the seminar:

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