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We’re really excited to see that Experience AI Challenge mentors are starting to submit AI projects created by young people. There’s still time for you to get involved in the Challenge: the submission deadline is 24 May 2024.
If you want to find out more about the Challenge, join our live webinar on Wednesday 3 April at 15:30 BST on our YouTube channel.
During the webinar, you’ll have the chance to:
Subscribe to our YouTube channel and press the ‘Notify me’ button to receive a notification when we go live.
The Experience AI Challenge, created by the Raspberry Pi Foundation in collaboration with Google DeepMind, guides young people under the age of 18, and their mentors, through the exciting process of creating their own unique artificial intelligence (AI) project. Participation is completely free.
Central to the Challenge is the concept of project-based learning, a hands-on approach that gets learners working together, thinking critically, and engaging deeply with the materials.
In the Challenge, young people are encouraged to seek out real-world problems and create possible AI-based solutions. By taking part, they become problem solvers, thinkers, and innovators.
And to every young person based in the UK who creates a project for the Challenge, we will provide personalised feedback and a certificate of achievement, in recognition of their hard work and creativity. Any projects considered as outstanding by our experts will be selected as favourites and its creators will be invited to a showcase event in the summer.
You don’t need to be an AI expert to bring this Challenge to life in your classroom or coding club. Whether you’re introducing AI for the first time or looking to deepen your young people’s knowledge, the Challenge’s step-by-step resource pack covers all you and your young people need, from the basics of AI, to training a machine learning model, to creating a project in Scratch.
In the resource pack, you will find:
The pack offers a safety net of scaffolding, support, and troubleshooting advice.
By bringing the Experience AI Challenge to young people, you’re inspiring the next generation of innovators, thinkers, and creators. The Challenge encourages young people to look beyond the code, to the impact of their creations, and to the possibilities of the future.
You can find out more about the Experience AI Challenge, and download the resource pack, from the Experience AI website.
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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.
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:
Taking part in Coolest Projects is simple:
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:
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.
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.
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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“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.
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:
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:
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 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.
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.
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.
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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At the heart of our work as a charity is the aim to democratise access to digital skills and technologies. Since 2020, we have partnered with over 100 youth and community organisations in the UK to develop programmes that increase opportunities for young people experiencing educational disadvantage to engage and create with digital technology in underserved communities.
Youth organisations attempting to start a coding club can face a range of practical and logistical challenges, from a lack of space, to funding restrictions, and staff shortages. However, the three issues that we hear about most often are a lack of access to hardware, lack of technical expertise among staff, and low confidence to deliver activities on an ongoing basis.
In 2023, we worked to help youth organisations overcome these barriers by designing and delivering a new hybrid training programme, supported by Amazon Future Engineer. With the programme, we aimed to help youth leaders and educators successfully incorporate coding and digital making activities as part of their provision to young people.
“Really useful, I have never used Scratch so going [through] the project made it clear to understand and how I would facilitate this for the children[.]” – Heather Coulthard, Doncaster Children’s University
We invited 14 organisations from across the UK to participate in the training, based on:
Attendees included a number of previous Learn at Home partners, including Breadline London, Manchester Youth Zone, and Youth Action. They all told us that the additional support they had received from the Foundation and organisations such as The Bloomfield Trust during the coronavirus pandemic had directly inspired them to participate in the training and begin their own coding clubs.
We started with four online training sessions where we introduced the youth leaders to digital making concepts, programming languages, and recommended activities to run with their young people. This included everything from making their own block-based Scratch games, to running Python programs on our Code Editor and trying out physical computing via our new micro:bit project path.
Alongside digital skills and interactive codealongs, the training also focused on how to be an effective CoderDojo mentor, including classroom management best practice, an explanation of the thinking behind our 3…2…1…Make! project paths, and an overview of culturally relevant pedagogy.
This last part explored how youth leaders can adapt and tailor digital making resources designed for a wide, general audience for their specific groups of young people to aid their understanding, boost their learning outcomes, and increase their sense of belonging within a coding club environment — a common blocker for organisations trying to appeal to marginalised youth.
The training culminated in a day-long, in-person session at our head office in Cambridge, so that youth leaders and educators from each organisation could get hands-on experience. They experimented with physical computing components such as the Raspberry Pi Pico, trained their own artificial intelligence (AI) models using our Experience AI resources, and learned more about how their young people can get involved with Coolest Projects and Astro Pi Mission Zero.
The in-person session also gave everyone the chance to get excited about running digital making activities at their centres: the youth leaders got to ask our team questions, and had the invaluable opportunity to meet each other, share their stories, swap advice, and discuss the challenges they face with their peers.
“Having the in-person immensely improved my skills and knowledge. The instructors were all brilliant and very passionate.” – Awale Elmi, RISE Projects
Finally, thanks to the generous support from Amazon Future Engineer, we were able to equip each participating organisation with Raspberry Pi 400 kits so that the youth leaders can practise and share the skills and knowledge they gained on the course at their centres and the organisations can offer computing activities in-house.
Over the next 12 months, we will continue to work with each of these youth and community organisations, supporting them to establish their coding clubs, and helping to ensure that young people in their communities get a fair and equal opportunity to engage and create with technology, no matter their background or challenges they are facing.
“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 useful.” – Liam Garnett, Leeds Libraries
For more information about how we can support youth and community organisations in the UK to start their own coding clubs, please send us a message with the subject ‘Partnerships’.
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In the rapidly evolving digital landscape, students are increasingly interacting with AI-powered applications when listening to music, writing assignments, and shopping online. As educators, it’s our responsibility to equip them with the skills to critically evaluate these technologies.
A key aspect of this is understanding ‘explainability’ in AI and machine learning (ML) systems. The explainability of a model is how easy it is to ‘explain’ how a particular output was generated. Imagine having a job application rejected by an AI model, or facial recognition technology failing to recognise you — you would want to know why.
Establishing standards for explainability is crucial. Otherwise we risk creating a world where decisions impacting our lives are made by opaque systems we don’t understand. Learning about explainability is key for students to develop digital literacy, enabling them to navigate the digital world with informed awareness and critical thinking.
AI models can have a significant impact on people’s lives in various ways. For instance, if a model determines a child’s exam results, parents and teachers would want to understand the reasoning behind it.
Artists might want to know if their creative works have been used to train a model and could be at risk of plagiarism. Likewise, coders will want to know if their code is being generated and used by others without their knowledge or consent. If you came across an AI-generated artwork that features a face resembling yours, it’s natural to want to understand how a photo of you was incorporated into the training data.
Explainability is about accountability, transparency, and fairness, which are vital lessons for children as they grow up in an increasingly digital world.
There will also be instances where a model seems to be working for some people but is inaccurate for a certain demographic of users. This happened with Twitter’s (now X’s) face detection model in photos; the model didn’t work as well for people with darker skin tones, who found that it could not detect their faces as effectively as their lighter-skinned friends and family. Explainability allows us not only to understand but also to challenge the outputs of a model if they are found to be unfair.
In essence, explainability is about accountability, transparency, and fairness, which are vital lessons for children as they grow up in an increasingly digital world.
Some models, like decision trees, regression curves, and clustering, have an in-built level of explainability. There is a visual way to represent these models, so we can pretty accurately follow the logic implemented by the model to arrive at a particular output.
By teaching students about AI explainability, we are not only educating them about the workings of these technologies, but also teaching them to expect transparency as they grow to be future consumers or even developers of AI technology.
A decision tree works like a flowchart, and you can follow the conditions used to arrive at a prediction. Regression curves can be shown on a graph to understand why a particular piece of data was treated the way it was, although this wouldn’t give us insight into exactly why the curve was placed at that point. Clustering is a way of collecting similar pieces of data together to create groups (or clusters) with which we can interrogate the model to determine which characteristics were used to create the groupings.
However, the more powerful the model, the less explainable it tends to be. Neural networks, for instance, are notoriously hard to understand — even for their developers. The networks used to generate images or text can contain millions of nodes spread across thousands of layers. Trying to work out what any individual node or layer is doing to the data is extremely difficult.
Regardless of the complexity, it is still vital that developers find a way of providing essential information to anyone looking to use their models in an application or to a consumer who might be negatively impacted by the use of their model.
One suggested strategy to add transparency to these models is using model cards. When you buy an item of food in a supermarket, you can look at the packaging and find all sorts of nutritional information, such as the ingredients, macronutrients, allergens they may contain, and recommended serving sizes. This information is there to help inform consumers about the choices they are making.
Model cards attempt to do the same thing for ML models, providing essential information to developers and users of a model so they can make informed choices about whether or not they want to use it.
Model cards include details such as the developer of the model, the training data used, the accuracy across diverse groups of people, and any limitations the developers uncovered in testing.
Model cards should be accessible to as many people as possible.
A real-world example of a model card is Google’s Face Detection model card. This details the model’s purpose, architecture, performance across various demographics, and any known limitations of their model. This information helps developers who might want to use the model to assess whether it is fit for their purpose.
As the world settles into the new reality of having the amazing power of AI models at our disposal for almost any task, we must teach young people about the importance of transparency and responsibility.
As a society, we need to have hard discussions about where and when we are comfortable implementing models and the consequences they might have for different groups of people. By teaching students about explainability, we are not only educating them about the workings of these technologies, but also teaching them to expect transparency as they grow to be future consumers or even developers of AI technology.
Most importantly, model cards should be accessible to as many people as possible — taking this information and presenting it in a clear and understandable way. Model cards are a great way for you to show your students what information is important for people to know about an AI model and why they might want to know it. Model cards can help students understand the importance of transparency and accountability in AI.
This article also appears in issue 22 of Hello World, which is all about teaching and AI. Download your free PDF copy now.
If you’re an educator, you can use our free Experience AI Lessons to teach your learners the basics of how AI works, whatever your subject area.
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Each year, young people all over the world share and celebrate their amazing tech creations by taking part in Coolest Projects, our digital technology showcase. Our global online showcase and local in-person events give kids a wonderful opportunity to celebrate their creativity with their communities, explore other young creators’ tech projects, and gain inspiration and encouragement for their future projects.
Now, visitors to the Young V&A museum in London can also be inspired by some of the incredible creations showcased at Coolest Projects. The museum has recently reopened after a large reimagining, and some of the inspiring projects by Coolest Projects 2022 participants are now on display in the Design Gallery, ready to spark digital creativity among more young people.
Many Coolest Projects participants showcase projects that they created to make an impact and solve a real-world problem that’s important to them, for example to help members of their local community, or to protect the environment.
One example on display in the Young V&A gallery is EleVoc, by 15-year-old Chinmayi from India. Chinmayi was inspired to create her project after she and her family faced a frightening encounter:
“My family and I are involved in wildlife conservation. One time we were charged by elephants even though we were only passing by in a Jeep. This was my first introduction to human–animal conflict, and I wanted to find a way to solve it!” – Chinmayi
The experience prompted Chinmayi to create EleVoc, an early-warning device designed to reduce human–elephant conflict by detecting and classifying different elephant sounds and alerting nearby villages to the elephants’ proximity and behaviour.
Also exhibited at the Young V&A is the hardware project Gas Leak Detector by Sashrika, aged 11, from the USA. Gas Leak Detector is a device that detects if a fuel tank for a diesel-powered heating system is leaking and notifies householders through an app in a matter of second.
Sashrika knew this invention could really make a difference to people’s lives. She explained, “Typically, diesel gas tanks for heating are in the basement where people don’t visit every day. Leakage may be unnoticed and lead to fire or major repair cost.”
As well as projects designed to solve problems, Coolest Projects also welcomes young people who create things to entertain or have fun.
At the Young V&A, visitors can enjoy the fun, fast-paced game project Runaway Nose, by 10-year-old Harshit from Ireland. Runaway Nose uses facial recognition, and players have to use their nose to interact with the prompts on the screen.
Harshit shared the motivation behind his project:
“I wanted to make a fun game to get you thinking fast and that would get you active, even on a rainy day.” – Harshit
We can confirm Runaway Nose is a lot of fun, and a must-do activity for people of all ages on a visit to the museum.
If you are in London, make sure to head to the Young V&A to see Chinmayi’s, Sashrika’s, and Harshit’s projects, and many more. We love seeing the ingenuity of the global community of young tech creators celebrated, and hope it inspires you and your young people.
With that in mind, we are excited that Coolest Projects will be back in 2024. Registrations for the global Coolest Projects online showcase will be open from 14 February to 22 May 2024, and any young creator up to age 18 anywhere in the world can get involved. We’ll also be holding in-person Coolest Projects events for young people in Ireland and the UK. Head to the Coolest Projects website to find out more.
Coolest Projects is for all young people, no matter their level of coding experience. Kids who are just getting started and would like to take part can check out the free project guides on our projects site. These offer step-by-step guidance to help everyone make a tech project they feel proud of.
To always get the latest news about all things Coolest Projects, from event updates to the fun swag coming for 2024, sign up for the Coolest Projects newsletter.
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We support two networks of coding clubs where young people around the world discover the countless possibilities of creating with digital technologies.
Every year, we send out a survey to volunteers at all the clubs we support. Today we share some highlights from the findings and what we’re planning next.
The simple answer is: to help make clubs even better for everyone involved! Educators and volunteers are doing a remarkable job in helping young people learn about computing and coding, so we want to know more about them, about how they run their clubs, and what impact the club sessions have for young people.
By knowing more about clubs — how frequently club leaders run them, what resources they use, what they would like more of — we can continue to improve the learning experience for educators, volunteers, and young people involved in our clubs.
This year in March we sent out our survey to all Code Clubs and CoderDojos around the world, and we heard back from almost 500. As always, the results were very positive, and they also gave us a lot of useful information on how we can continue to improve our support for clubs all over the world.
Based on the survey, we estimate that at the time, the network of over 4200 Code Clubs and 700 CoderDojos was reaching almost 139,000 young people globally. The global community of clubs has continued to grow since then, with a now even larger network of volunteers supporting ever more young people.
According to the survey, the majority of young people attending clubs are aged between 8 and 13, but clubs host young people as young as 6 and as old as 18. It was great to hear about the participation of girls, and we’d love to see this rise even higher: respondents told us that 42% of their Code Club attendees and 30% of their CoderDojo attendees are female.
Respondents feel that attending club sessions improves young peoples’ interest and engagement in computing and programming, and increases their understanding of the usefulness of computing.
None of these young people would be able to attend clubs without the great work of teams of educators and volunteers. Based on the survey, we estimate that at the time of the survey, there were over 10,300 Code Club leaders and almost 4000 CoderDojo champions around the world. Many survey respondents said that they were motivated to start volunteering after attending a club themselves.
Community is at the heart of clubs and the clubs networks: over 80% of respondents said that belonging to a global community of clubs helps motivates them to volunteer at their own club.
Clubs focus on a wide range of topics and programming languages. Scratch is overwhelmingly popular, with over 95% of respondents telling us that they used Scratch in club sessions in the previous year. Micro:bit projects and Python-based programming were also very popular. Club leaders told us that in future they would like to offer more activities around AI applications, as well as around games and mobile apps.
Club leaders told us that being part of a Code Club or CoderDojo affects young people positively. Respondents feel that attending club sessions improves young peoples’ skills and interest in computing and programming, and increases their understanding of the usefulness of computing. Almost 90% of club leaders also agree that after attending a club, young people are interested in additional experiences of learning about computing and programming.
Attending also positively affects young people’s wider skills and attitudes, with club leaders stating that young people who attend improve their personal confidence, independence in learning, and creative thinking.
Young people who attend improve their personal confidence, independence in learning, and creative thinking.
We were pleased to find out that most Code Club leaders, who run their sessions in schools, think that their clubs increase the visibility of computing within their school. Many also said that the attendees’ parents and guardians value their clubs as opportunities for their children.
We want to keep providing clubs with support to increase their positive impact on young people. Thanks to the survey results, we know to focus our work on providing training opportunities for club volunteers, as well as supporting club leaders to recruit volunteers and advertise their clubs to more young people.
You can read the survey report to dive deeper into our findings.
As we take an impact-focused approach to our work, we are currently partnering with Durham University on an evaluation of Code Clubs in UK schools. The evaluation will provide further insights for how we can best support people around the world to run clubs that provide welcoming spaces where all kids can learn to create with digital technologies.
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Young children have a unique perspective on the world they live in. They often seem oblivious to what’s going on around them, but then they will ask a question that makes you realise they did get some insight from a news story or a conversation they overheard. This happened to me with a class of ten-year-olds when one boy asked, with complete sincerity and curiosity, “And is that when the zombie apocalypse happened?” He had unknowingly conflated the Great Plague with television depictions of zombies taking over the world.
Absorbing media and assimilating it into your existing knowledge is a challenge, and this is a concern when the media is full of big, scary headlines about artificial intelligence (AI) taking over the world, stealing jobs, and being sentient. As teachers and parents, you don’t need to know all the details about AI to answer young people’s questions, but you can avoid accidentally introducing alternate conceptions. This article offers some top tips to help you point those inquisitive minds in the right direction.
Technology companies like to anthropomorphise their products and give them friendly names. Why? Because it makes their products seem more endearing and less scary, and makes you more likely to include them in your lives. However, when you think of AI as a human with a name who needs you to say ‘please’ or is ‘there to help you’, you start to make presumptions about how it works, what it ‘knows’, and its morality. This changes what we ask, how much we trust an AI device’s responses, and how we behave when using the device. The device, though, does not ‘see’ or ‘know’ anything; instead, it uses lots of data to make predictions. Think of word association: if I say “bread”, I predict that a lot of people in the UK will think “butter”. Here, I’ve used the data I’ve collected from years of living in this country to predict a reasonable answer. This is all AI devices are doing.
[AI] does not ‘see’ or ‘know’ anything; instead, it uses lots of data to make predictions.
When talking to young children about AI, try to avoid using pronouns such as ‘she’ or ‘he’. Where possible, avoid giving devices human names, and instead call them “computer”, to reinforce the idea that humans and computers are very different. Let’s imagine that a child in your class says, “Alexa told me a joke at the weekend — she’s funny!” You could respond, “I love using computers to find new jokes! What was it?” This is just a micro-conversation, but with it, you are helping to surreptitiously challenge the child’s perception of Alexa and the role of AI in it.
Where possible, avoid giving devices human names, and instead call them ‘computer’, to reinforce the idea that humans and computers are very different.
Another good approach is to remember to keep your emotions separate from computers, so as not to give them human-like characteristics: don’t say that the computer ‘hates’ you, or is ‘deliberately ignoring’ you, and remember that it’s only ‘helpful’ because it was told to be. Language is important, and we need to continually practise avoiding anthropomorphism.
The media plays a huge role in what we imagine when we talk about AI. For the media, the challenge is how to make lines of code and data inside a computer look exciting and recognisable to their audiences. The answer? Robots! When learners hear about AI taking over the world, it’s easy for them to imagine robots like those you’d find in a Marvel movie. Yet the majority of AI exists within systems they’re already aware of and are using — you might just need to help draw their attention to it.
Even better than just calling out uses of AI: try to have conversations about when things go wrong and AI systems suggest silly options.
For example, when using a word processor, you can highlight to learners that the software sometimes predicts what word you want to type next, and that this is an example of the computer using AI. When learners are using streaming services for music or TV and the service predicts something that they might want to watch or listen to next, point out that this is using AI technology. When they see their parents planning a route using a satnav, explain that the satnav system uses data and AI to plan the best route.
Even better than just calling out uses of AI: try to have conversations about when things go wrong and AI systems suggest silly options. This is a great way to build young people’s critical thinking around the use of computers. AI systems don’t always know best, because they’re just making predictions, and predictions can always be wrong.
There’s a delicate balance between acknowledging the limitations of AI and portraying it as a problematic tool that we shouldn’t use. AI offers us great opportunities to improve the way we work, to get us started on a creative project, or to complete mundane tasks. However, it is just a tool, and tools complement the range of skills that humans already have. For example, if you gave an AI chatbot app the prompt, ‘Write a setting description using these four phrases: dark, scary, forest, fairy tale’, the first output from the app probably wouldn’t make much sense. As a human, though, you’d probably have to do far less work to edit the output than if you had had to write the setting description from scratch. Now, say you had the perfect example of a setting description, but you wanted 29 more examples, a different version for each learner in your class. This is where AI can help: completing a repetitive task and saving time for humans.
To help children understand how AI and humans complement each other, ask them the question, ‘What can’t a computer do?’ Answers that I have received before include, ‘Give me a hug’, ‘Make me laugh’, and ‘Paint a picture’, and these are all true. Can Alexa tell you a joke that makes you laugh? Yes — but a human created that joke. The computer is just the way in which it is being shared. Even with AI ‘creating’ new artwork, it is really only using data from something that someone else created. Humans are required.
Overall, we must remember that young children are part of a world that uses AI, and that it is likely to be ever more present in the future. We need to ensure that they know how to use AI responsibly, by minimising their alternate conceptions. With our youngest learners, this means taking care with the language you choose and the examples you use, and explaining AI’s role as a tool.
To help children understand how AI and humans complement each other, ask them the question, ‘What can’t a computer do?’
These simple approaches are the first steps to empowering children to go on to harness this technology. They also pave the way for you to simply introduce the core concepts of AI in later computing lessons without first having to untangle a web of alternate conceptions.
This article also appears in issue 22 of Hello World, which is all about teaching and AI. Download your free PDF copy now.
If you’re an educator, you can use our free Experience AI Lessons to teach your learners the basics of how AI works, whatever your subject area.
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Today’s blog is written by Dr Alex Hadwen-Bennett, who we worked with to find out primary school learners’ experiences of engaging with culturally relevant Computing lessons. Alex is a Lecturer in Computing Education at King’s College London, where he undertakes research focusing on inclusive computing education and the pedagogy of making.
Despite many efforts to make a career in Computing more accessible, many groups of people are still underrepresented in the field. For instance, a 2022 report revealed that only 22% of people currently working in the IT industry in the UK are women. Additionally, among learners who study Computing at schools in England, Black Caribbean students are currently one of the most underrepresented groups. One approach that has been suggested to address this underrepresentation at school is culturally relevant pedagogy.
For this reason, a particular focus of the Raspberry Pi Foundation’s academic research programme is to support Computing teachers in the use of culturally relevant pedagogy. This pedagogy involves developing learning experiences that deliberately aim to enable all learners to engage with and succeed in Computing, including by bringing their culture and interests into the classroom.
The Foundation’s work in this area started with the development of guidelines for culturally relevant and responsive teaching together with a group of teachers and external researchers. The Foundation’s researchers then explored how a group of Computing teachers employed the guidelines in their own teaching. In a follow-on study funded by Cognizant, the team worked with 13 primary school teachers in England to adapt Computing lessons to make them culturally relevant for their learners. In this process, the teachers adapted a unit on photo editing for Year 4 (ages 8–9), and a unit about vector graphics for Year 5 (ages 9–10). As part of the project, I worked with the Foundation team to analyse and report on data gathered from focus groups of primary learners who had engaged with the adapted units.
For the focus groups, the Foundation team asked teachers from three schools to each choose four learners to take part. All children in the three focus groups had taken part in all the lessons involving the culturally adapted resources. The children were both boys and girls, and came from diverse cultural backgrounds where possible.
The questions for the focus groups were prepared in advance and covered:
“I feel happy that I see myself represented in some way.”
“It was nice to do something that actually represented you in many different ways, like your culture and your background.”
– Statements of learners who participated in the focus groups
When the learners were asked about what they did in their Computing lessons, most of them made references to working with and manipulating graphics; fewer made references to programming and algorithms. This emphasis on graphics is likely related to this being the most recent topic the learners engaged with. The learners were also asked about their reflections on the culturally adapted graphics unit that they had recently completed. Many of them felt that the unit gave them the freedom to incorporate things that related to their interests or culture. The learners’ responses also suggested that they felt represented in the work they completed during the unit. Most of them indicated that their interests were acknowledged, whereas fewer mentioned that they felt their cultural backgrounds were highlighted.
“Anyone can be good at computing if they have the passion to do it.”
– Statement by a learner who participated in a focus group
When considering who does computing, the learners made multiple references to people who keep trying or do not give up. Whereas only a couple of learners said that computer scientists need to be clever or intelligent to do computing. A couple of learners suggested that they believed that anyone can do computing. It is encouraging that the learners seemed to associate being good at computing with effort rather than with ability. However, it is unclear whether this is associated with the learners engaging with the culturally adapted resources.
While this was a small-scale study, the focus groups findings do suggest that engaging with culturally adapted resources can make primary learners feel more represented in their Computing lessons. In particular, engaging with an adapted unit led learners to feel that their interests were recognised as well as, to a lesser extent, their cultural backgrounds. This suggests that primary-aged learners may identify their practical interests as the most important part of their background, and want to share this in class.
Finally, the responses of the learners suggest that they feel that perseverance is a more important quality than intelligence for success in computing and that anyone can do it. While it is not possible to say whether this is directly related to their engagement with a culturally adapted unit, it would be an interesting area for further research.
You can find out more about culturally relevant pedagogy and the Foundation’s research on it, for example by:
The Foundation would like to extend thanks to Cognizant for funding this research, and to the primary computing teachers and learners who participated in the project.
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We all know that learning to program, and specifically learning how to debug or fix code, can be frustrating and leave beginners overwhelmed and disheartened. In a recent blog article, our PhD student Lauria at the Raspberry Pi Computing Education Research Centre highlighted the pivotal role that teachers play in shaping students’ attitudes towards debugging. But what about teachers who are coding novices themselves?
In many countries, primary school teachers are holistic educators and often find themselves teaching computing despite having little or no experience in the field. In a recent seminar of our series on computing education for primary-aged children, Luisa Greifenstein told attendees that struggling with debugging and negative attitudes towards programming were among the top ten challenges mentioned by teachers.
Luisa is a researcher at the University of Passau, Germany, and has been working closely with both teacher trainees and experienced primary school teachers in Germany. She’s found that giving feedback to students can be difficult for primary school teachers, and especially for teacher trainees, as programming is still new to them. Luisa’s seminar introduced a tool to help.
To address this issue, the University of Passau has initiated the primary::programming project. One of its flagship tools, LitterBox, offers a unique solution to debugging and is specifically designed for Scratch, a beginners’ programming language widely used in primary schools.
LitterBox serves as a static code debugging tool that transforms code examination into an engaging experience. With a nod to the Scratch cat, the tool visualises the debugging of Scratch code as checking the ‘litterbox’, categorising issues into ‘bugs’ and ‘smells’:
What sets LitterBox apart is that it also rewards correct code by displaying ‘perfumes’. For instance, it will praise correct broadcasting or the use of custom blocks. For every identified problem or achievement, the tool provides short and direct feedback.
Luisa and her team conducted a study to gauge the effectiveness of LitterBox. In the study, teachers were given fictitious student code with bugs and were asked to first debug the code themselves and then explain in a manner appropriate to a student how to do the debugging.
The results were promising: teachers using LitterBox outperformed a control group with no access to the tool. However, the team also found that not all hints proved equally helpful. When hints lacked direct relevance to the code at hand, teachers found them confusing, which highlighted the importance of refining the tool’s feedback mechanisms.
Despite its limitations, LitterBox proved helpful in another important aspect of the teachers’ work: coding task creation. Novice students require structured tasks and help sheets when learning to code, and teachers often invest substantial time in developing these resources. While LitterBox does not guide educators in generating new tasks or adapting them to their students’ needs, in a second study conducted by Luisa’s team, teachers who had access to LitterBox not only received support in debugging their own code but also provided more scaffolding in task instructions they created for their students compared to teachers without LitterBox.
One important realisation that we had in the Q&A phase of Luisa’s seminar was that many different research teams are working on solutions for similar challenges, and that the impact of this research can be maximised by integrating new findings and resources. For instance, what the LitterBox tool cannot offer could be filled by:
As we navigate the evolving landscape of programming education, it’s clear that innovative tools like LitterBox can make a significant difference in the journey of both educators and students. By equipping educators with effective debugging and task creation solutions, we can create a more positive and engaging learning experience for students.
If you’re an educator, consider exploring how such tools can enhance your teaching and empower your students in their coding endeavours.
You can watch the recording of Luisa’s seminar here:
If you’re interested in the latest developments in computing education, join us at one of our free, monthly seminars. In these sessions, researchers from all over the world share their innovative ideas and are eager to discuss them with educators and students. In our December seminar, Anaclara Gerosa (University of Edinburgh) will share her findings about how to design and structure early-years computing activities.
This will be the final seminar in our series about primary computing education. Look out for news about the theme of our 2024 seminar series, which are coming soon.
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I am delighted to announce that the Raspberry Pi Foundation and Google DeepMind are building a global network of educational organisations to bring AI literacy to teachers and students all over the world, starting with Canada, Kenya, and Romania.
We launched Experience AI in September 2022 to help teachers and students learn about AI technologies and how they are changing 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.
We provide lesson plans, classroom resources, worksheets, hands-on activities, and videos that introduce a wide range of AI applications and the underlying technologies that make them work. The materials are designed to be relatable to young people and can be taught by any teacher, whether or not they have a technical background. Alongside the classroom resources, we provide teacher professional development, including an online course that provides an introduction to machine learning and AI.
The materials are grounded in real-world contexts and emphasise the potential for young people to positively change the world through a mastery of AI technologies.
Since launching the first resources, we have seen significant demand from teachers and students all over the world, with over 200,000 students already learning with Experience AI.
Building on that initial success and in response to huge demand, we are now building a global network of educational organisations to expand the reach and impact of Experience AI by translating and localising the materials, promoting them to schools, and supporting teacher professional development.
Obum Ekeke OBE, Head of Education Partnerships at Google DeepMind, says:
“We have been blown away by the interest we have seen in Experience AI since its launch and are thrilled to be working with the Raspberry Pi Foundation and local partners to expand the reach of the programme. AI literacy is a critical skill in today’s world, but not every young person currently has access to relevant education and resources. By making AI education more inclusive, we can help young people make more informed decisions about using AI applications in their daily lives, and encourage safe and responsible use of the technology.”
Today we are announcing the first three organisations that we are working with, each of which is already doing fantastic work to democratise digital skills in their part of the world. All three are already working in partnership with the Raspberry Pi Foundation and we are excited to be deepening and expanding our collaboration to include AI literacy.
Digital Moment is a Montreal-based nonprofit focused on empowering young changemakers through digital skills. Founded in 2013, Digital Moment has a track record of supporting teachers and students across Canada to learn about computing, coding, and AI literacy, including through supporting one of the world’s largest networks of Code Clubs.
“We’re excited to be working with the Raspberry Pi Foundation and Google DeepMind to bring Experience AI to teachers across Canada. Since 2018, Digital Moment has been introducing rich training experiences and educational resources to make sure that Canadian teachers have the support to navigate the impacts of AI in education for their students. Through this partnership, we will be able to reach more teachers and with more resources, to keep up with the incredible pace and disruption of AI.”
Indra Kubicek, President, Digital Moment
Tech Kidz Africa is a Mombasa-based social enterprise that nurtures creativity in young people across Kenya through digital skills including coding, robotics, app and web development, and creative design thinking.
“With the retooling of teachers as a key objective of Tech Kidz Africa, working with Google DeepMind and the Raspberry Pi Foundation will enable us to build the capacity of educators to empower the 21st century learner, enhancing the teaching and learning experience to encourage innovation and prepare the next generation for the future of work.”
Grace Irungu, CEO, Tech Kidz Africa
Asociația Techsoup works with teachers and students across Romania and Moldova, training Computer Science, ICT, and primary school teachers to build their competencies around coding and technology. A longstanding partner of the Raspberry Pi Foundation, they foster a vibrant community of CoderDojos and support young people to participate in Coolest Projects and the European Astro Pi Challenge.
“We are enthusiastic about participating in this global partnership to bring high-quality AI education to all students, regardless of their background. Given the current exponential growth of AI tools and instruments in our daily lives, it is crucial to ensure that students and teachers everywhere comprehend and effectively utilise these tools to enhance their human, civic, and professional potential. Experience AI is the best available method for AI education for middle school students. We couldn’t be more thrilled to work with the Raspberry Pi Foundation and Google DeepMind to make it accessible in Romanian for teachers in Romania and the Republic of Moldova, and to assist teachers in fully integrating it into their classes.”
Elena Coman, Director of Development, Asociația Techsoup
These are the first of what will become a global network of organisations supporting tens of thousands of teachers to equip millions of students with a foundational understanding of AI technologies through Experience AI. If you want to get involved in inspiring the next generation of AI leaders, we would love to hear from you.
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Block-based programming applications like Scratch and ScratchJr provide millions of children with an introduction to programming; they are a fun and accessible way for beginners to explore programming concepts and start making with code. ScratchJr, in particular, is designed specifically for children between the ages of 5 and 7, enabling them to create their own interactive stories and games. So it’s no surprise that they are popular tools for primary-level (K–5) computing teachers and learners. But how can teachers assess coding projects built in ScratchJr, where the possibilities are many and children are invited to follow their imagination?
In the latest seminar of our series on computing education for primary-aged children, attendees heard about two research studies that explore the use of ScratchJr in K–2 education. The speaker, Apittha (Aim) Unahalekhala, is a graduate researcher at the DevTech Research Group at Tufts University. The two studies looked at assessing young children’s ScratchJr coding projects and understanding how they create projects. Both of the studies were part of the Coding as Another Language project, which sees computer science as a new literacy for the 21st century, and is developing a literacy-based coding curriculum for K–2.
ScratchJr offers children 28 blocks to choose from when creating a coding project. Some of these are simple, such as blocks that determine the look of a character or setting, while others are more complex, such as messaging blocks and loops. Children can combine the blocks in many different ways to create projects of different levels of complexity.
At the start of her presentation, Aim described a rubric that she and her colleagues at DevTech have developed to assess three key aspects of a ScratchJr coding project. These aspects are coding concepts, project design, and purposefulness.
The rubric lets educators or researchers:
As part of the study, Aim and her colleagues collected coding projects from two schools at the start, middle, and end of a curriculum unit. They used the rubric to evaluate the coding projects and found that project scores increased over the course of the unit.
They also found that, overall, the scores for the project design elements were higher than those for coding concepts: many learners enjoyed spending lots of time designing their characters and settings, but made less use of other features. However, the two scores were correlated, meaning that learners who devoted a lot of time to the design of their project also got higher scores on coding concepts.
The rubric is a useful tool for any teachers using ScratchJr with their students. If you want to try it in your classroom, the validated rubric is free to download from the DevTech research group’s website.
The rubric assesses the output created by a learner using ScratchJr. But learning is a process, not just an end outcome, and the final project might not always be an accurate reflection of a child’s understanding.
By understanding more about how young children create coding projects, we can improve teaching and curriculum design for early childhood computing education.
In the second study Aim presented, she set out to explore this question. She conducted a qualitative observation of children as they created coding projects at different stages of a curriculum unit, and used Google Analytics data to conduct a quantitative analysis of the steps the children took.
Her findings highlighted the importance of encouraging young learners to explore the full variety of blocks available, both by guiding them in how to find and use different blocks, and by giving them the time and tools they need to explore on their own.
She also found that different teaching strategies are needed at different stages of the curriculum unit to support learners. This helps them to develop their understanding of both basic and advanced blocks, and to explore, customise, and iterate their projects.
Early-unit strategy:
Mid-unit strategy:
End-of-unit strategy:
You can watch Aim’s full presentation here:
You can also access the seminar slides here.
At our next seminar, we welcome Aman Yadav (Michigan State University), who will present research on computational thinking in primary school. The session will take place online on Tuesday 7 November at 17:00 UK time. Don’t miss out and sign up now:
To find out more about connecting research to practice for primary computing education, you can find the rest of our upcoming monthly seminars on primary (K–5) teaching and learning and watch the recordings of previous seminars in this series.
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In the 2023 Coolest Projects online showcase, 5801 young people from all over the world shared the wonderful, fun, and creative things they had made with technology. But that’s not all we’ve seen of Coolest Projects this year. As well as our worldwide annual online showcase, a number of in-person Coolest Projects events are taking place in countries across the globe in 2023.
Run by us or partner organisations, these exciting events create a space for young people to meet other young tech creators, connect to their community, and celebrate each others’ creations. In-person Coolest Projects events around the world had to pause over the coronavirus pandemic, and we’re delighted to see them return to engage and inspire young people once again.
On 1 July, we were super excited to host Coolest Projects Ireland, our first in-person Coolest Projects event since 2020. 63 young tech creators from Northern Ireland and the Republic of Ireland came together in Dublin for an exciting one-day event where they shared 43 incredible creations, with engineer and STEM communicator Dr Niamh Shaw leading everyone through the day’s celebrations.
One young maker showcasing her project was Charlotte from Kinsale CoderDojo in the Republic of Ireland. Her creative storytelling project ‘Goldicat and the Three Angry Property Owners’ was chosen as a judges’ favourite in the Scratch category.
Charlotte’s story includes different games and three secret endings for the user to discover. She told us: “I know someone who made an animation based off the fairy tale Hansel and Gretel in Scratch. This inspired me to make a game based off a different fairy tale, Goldilocks and the Three Bears.”
Harshit entered the Hardware category with his amazing mini vending machine. Describing his project, he explained, “This is a recreation of a vending machine, but I have added my own twists to it to make it simple to build. You still get the full experience of an actual vending machine, but what makes it special is that it is made fully out of recycled materials.”
Young people at Coolest Projects Ireland were joined and supported by family, friends, and mentors from Code Clubs and CoderDojos. Mentors told us their favourite things about attending a Coolest Projects event in person were “the joy and excitement the participants got from taking part and discussing their project with the judges”, and “the way it was very inclusive to all children and all [were] included on stage for some swag!”
In 2023 we’re partnering with six organisations that are bringing Coolest Projects events for their communities. We’re still looking forward to the exciting Coolest Projects events planned for the rest of the year:
Back in June, more than 30 young creators participated in Coolest Projects Hungary, which was organised in Budapest by the team at EPAM Systems Inc. And April saw our partner CoderDojo Belgium organise Coolest Projects Belgium for 40 young people, who shared 25 projects across different categories from Scratch to Hardware and Advanced Programming.
The CoderDojo Belgium team shared how important the Coolest Projects event is to their community:
“Just like every year, we’ve unlocked the doors to welcome the next generation of tech enthusiasts. And this year, once again, we were absolutely amazed by the projects they brought to the spotlight. From an app predicting stock market evolution, to creatively designed games with unexpected twists, not to mention the incredible robots, and more, their ingenuity knows no bounds.”
CoderDojo Belgium
We’re excited that the Coolest Projects online showcase — open to any young creator anywhere in the world — will return in 2024. And if there isn’t a Coolest Projects in-person event in your country yet, don’t worry. We’re working with more and more partners every year to bring Coolest Projects events to more young people.
To stay up to date with news about the Coolest Projects online showcase, sign up to the newsletter.
And you can celebrate young tech creators with us year round wherever you are by following Coolest Projects on X, Instagram, LinkedIn, or Facebook, where we share inspiring projects from the Coolest Projects online gallery and photos from the in-person events.
We’d like to thank EPAM Systems Inc, Meta, and GoTo for supporting the Coolest Projects Ireland event. If you’re interested in partnering with us for Coolest Projects, please reach out to us via email.
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Dr Sue Sentance, Director of our Raspberry Pi Computing Education Research Centre at the University of Cambridge, shares what she learned on a recent visit in Malaysia to understand more about the approach taken to computing education in the state of Sarawak.
Computing education is a challenge around the world, and it is fascinating to see how different countries and education systems approach it. I recently had the opportunity to attend an event organised by the government of Sarawak, Malaysia, to see first-hand what learners and teachers are achieving thanks to the state’s recent policies.
In Sarawak, the largest state of Malaysia, the local Ministry of Education, Innovation and Talent Development is funding an ambitious project through which all of Sarawak’s primary schools are receiving sets of Raspberry Pis. Learners use these as desktop computers and to develop computer science skills and knowledge, including the skills to create digital making projects.
Crucially, the ministry is combining this hardware distribution initiative with a three-year programme of professional development for primary school teachers. They receive training known as the Raspberry Pi Training Programme, which starts with Scratch programming and incorporates elements of physical computing with the Raspberry Pis and sensors.
To date the project has provided 9436 kits (including Raspberry Pi computer, case, monitor, mouse, and keyboard) to schools, and training for over 1200 teachers.
In order to showcase what has been achieved through the project so far, students and teachers were invited to use their schools’ Raspberry Pis to create projects to prototype solutions to real problems faced by their communities, and to showcase these projects at a special STEM Trailblazers event.
Geographically, Sarawak is Malaysia’s largest state, but it has a much smaller population than the west of the country. This means that towns and villages are very spread out and teachers and students had large distances to travel to attend the STEM Trailblazers event. To partially address this, the event was held in two locations simultaneously, Kuching and Miri, and talks were live-streamed between both venues.
STEM Trailblazers featured a host of talks from people involved in the initiative. I was very honoured to be invited as a guest speaker, representing both the University of Cambridge and the Raspberry Pi Foundation as the Director of the Raspberry Pi Computing Education Research Centre.
The Raspberry Pi projects at STEM Trailblazers were entered into a competition, with prizes for students and teachers. Most projects had been created using Scratch to control the Raspberry Pi as well as a range of sensors.
The children and teachers who participated came from both rural and urban areas, and it was clear that the issues they had chosen to address were genuine problems in their communities.
Many of the projects I saw related to issues that schools faced around heat and hydration: a Smart Bottle project reminded children to drink regularly, a shade creator project created shade when the temperature got too high, a teachers’ project told students that they could no longer play outside when the temperature exceeded 35 degrees, and a water cooling system project set off sprinklers when the temperature rose. Other themes of the projects were keeping toilets clean, reminding children to eat healthily, and helping children to learn the alphabet. One project that especially intrigued me was an alert system for large and troublesome birds that were a problem for rural schools.
The creativity and quality of the projects on show was impressive given that all the students (and many of their teachers) had learned to program very recently, and also had to be quite innovative where they hadn’t been able to access all the hardware they needed to build their creations.
Everyone involved in this project in Sarawak — including teachers, government representatives, university academics, and industry partners — is really committed to giving children the best opportunities to grow up with an understanding of digital technology. They know this is essential for their professional futures, and also fosters their creativity, independence, and problem-solving skills.
Over the last ten years, I’ve been fortunate enough to travel widely in my capacity as a computing education researcher, and I’ve seen first-hand a number of the approaches countries are taking to help their young people gain the skills and understanding of computing technologies that they need for their futures.
It’s good for us to look beyond our own context to understand how countries across the world are preparing their young people to engage with digital technology. No matter how many similarities there are between two places, we can all learn from each other’s initiatives and ideas. In 2021 the Brookings Institution published a global review of how countries are progressing with this endeavour. Organisations such as UNESCO and WEF regularly publish reports that emphasise the importance for countries to develop their citizens’ digital skills, and also advanced technological skills.
The Sarawak government’s initiative is grounded in the use of Raspberry Pis as desktop computers for schools, which run offline where schools have no access to the internet. That teachers are also trained to use the Raspberry Pis to support learners to develop hands-on digital making skills is a really important aspect of the project.
Our commercial subsidiary Raspberry Pi Limited works with a company network of Approved Resellers around the globe; in this case the Malaysian reseller Cytron has been an enormous support in supplying Sarawak’s primary schools with Raspberry Pis and other hardware.
Schools anywhere in the world can also access the Raspberry Pi Foundation’s free learning and teaching resources, such as curriculum materials, online training courses for teachers, and our magazine for educators, Hello World. We are very proud to support the work being done in Sarawak.
As for what the future holds for Sarawak’s computing education, at the opening ceremony of the STEM Trailblazers event, the Deputy Minister announced that the event will be an annual occasion. That means every year more students and teachers will be able to come together, share their learning, and get excited about using digital making to solve the problems that matter to them.
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A couple of months ago we announced that you can test the online text-based Code Editor we’re building to help young people aged 7 and older learn to write code. Now we’ve made the code for the Editor open source so people can repurpose and contribute to it.
You and your learners can try out the Code Editor in our Python project paths. We’ve included a feedback form for you to let us know what you think about the Editor.
Since the Editor lets learners save their code using their Raspberry Pi Foundation account, it’s easy for them to build on projects they’ve started in the classroom or at home, or bring a project they’ve started at home to their coding club.
Python is the first programming language our Code Editor supports because it’s popular in schools, CoderDojos, and Code Clubs, as well as in industry. We’ll soon be adding support for web development languages (HTML/CSS).
We know that starting out with new programming tools can be tricky and add to the cognitive load of learning new subject matter itself. That’s why our Editor has a simple and accessible user interface and design:
We’ll expand the Editor’s functionalities as we go. For example, at the moment we’re looking at how to improve the Editor’s user interface (UI) for better mobile support.
If there’s a feature you think would help the Editor become more accessible and more suitable for young learners, or make it better for your classroom or club, please let us know via the feedback form.
Our vision is that every young person develops the knowledge, skills, and confidence to use digital technologies effectively, and to be able to critically evaluate these technologies and confidently engage with technological change. We’re part of a global community that shares that vision, so we’ve made the Editor available as an open-source project. That means other projects and organisations focussed on helping people learn about coding and digital technologies can benefit from the work.
To support the widest possible range of learners, we’ve designed the Code Editor application to work well on constrained devices and low-bandwidth connections. Safeguarding, accessibility, and data privacy are also key considerations when we build digital products at the Foundation. That’s why we decided to design the front end of the Editor to work in a standalone capacity, with Python executed through Skulpt, an entirely in-browser implementation of Python, and code changes persisted in local storage by default. Learners have the option of using a Raspberry Pi Foundation account to save their work, with changes then persisted via calls to a back end application programming interface (API).
As safeguarding is always at the core of what we do, we only make features available that comply with our safeguarding policies as well as the ICO’s age-appropriate design code. We considered supporting functionality such as image uploads and code sharing, but at the time of writing have decided to not add these features given that, without proper moderation, they present risks to safeguarding.
There’s an amazing community developing a wealth of open-source libraries. We chose to build our text-editor interface using CodeMirror, which has out-of-the-box mobile and tablet support and includes various useful features such as syntax highlighting and keyboard shortcuts. This has enabled us to focus on building the best experience for learners, rather than reinventing the wheel.
Diving a bit more into the technical details:
You can find out more about our Editor’s code for both the UI front end and API back end in our GitHub readme and contributions documentation. These kick-starter docs will help you get up and running faster:
The Editor’s front end is licensed as permissively as possible under the Apache Licence 2.0, and we’ve chosen to license the back end under the copyleft AGPL V3 licence. Copyleft licences mean derived works must be licensed under the same terms, including making any derived projects also available to the community.
We’d greatly appreciate your support with developing the Editor further, which you can give by:
Our work to develop and publish the Code Editor as an open-source project has been funded by Endless. We thank them for their generous support.
If you are interested in partnering with us to fund this key work, or you are part of an organisation that would like to make use of the Code Editor, please reach out to us via email.
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Our ‘Intro to Unity’ educational project path is a big success, sparking lots of young people’s passion for 3D game design and programming. Today we introduce the ‘More Unity‘ project path — the perfect next step for young people who have completed our ‘Intro to Unity‘ path. This new free path is designed to bridge the gap for young people before they start on the tutorials on the Unity learning platform.
Our work to create this path builds on our partnership with Unity, through which we aim to offer any young person, anywhere, the opportunity to take their first steps in creating virtual worlds using real-time 3D.
After young people have tried out the Unity Engine and C# programming through the ‘Intro to Unity’ path, they’re ready for a deeper exploration of 3D game design. ‘More Unity’ helps them build on the foundational skills they learned in the ‘Intro to Unity’ path. After completing this new path, they’ll be able to add complexity, new challenges, and heaps of fun to all their 3D creations.
We’ve prepared a comprehensive Unity Guide to assist with getting ready to start either the ‘Intro to Unity’ or ‘More Unity’ path. To create with Unity, learners need access to a computer with a graphics card, the latest version of the free Unity Games Engine, and a code editor. For the extra Blender-based projects (see below), they need the latest version of the free Blender software.
The project path consists of six projects. Like in ‘Intro to Unity’, each project introduces new skills bit by bit, enabling young people to independently code their own, next-level Unity creation in the final project.
This first project shows how to build an exciting 3D simulation. With ‘Rainbow run’, learners create colourful tracks and guide a marble to race along them. We also offer them an extra project guide where they can customise the look of their marble using Blender.
Next, with ‘Disco dance floor’, learners code an interactive, tilting dance floor that responds to a rolling ball with sound and colour. They can add their own style to the dance floor by following our extra Blender project.
‘Don’t fall through’ is the third project in the path. Here, learners code a two-player game that requires strategy and timing as marbles traverse a vanishing tiled floor.
‘Pixel art reveal’ comes next in the path. It helps learners design unique pixel art on a tiled floor and reveal their awesome artwork by rolling a ball across the surface.
In ‘Track designer’, we invite learners to truly think like game designers. This project empowers learners to design unique tilting tracks filled with obstacles, personalised effects, sounds, and more.
Finally ‘Marble mayhem’ lets young people bring to life all the principles of physics and materials in the Unity Game Engine they’ve learned about while following the ‘More Unity’ path. This is their place to create a one-of-a-kind game or digital toy that truly reflects their creativity.
‘More Unity’ promotes young people’s creativity, problem-solving, and independence. Each project presents them with the chance to create a virtual world of physics, materials, and mechanics. With each project they’ll learn lots of new skills in 3D modeling, gameplay design, and programming.
The path includes a community gallery where young people can share their new 3D creations and see what their peers all over the world have made.
The skills young people gain through the ‘Intro to Unity’ and ‘More Unity’ path provide them with a solid foundation to continue to learn and create with Unity. To follow their passion for 3D worlds, game design, and programming further, they can move on to the hundreds of tutorials available on Unity’s learning platform.
Our detailed Unity guide will help you get everything set up for your young people to start with Unity, and the ‘Intro to Unity‘ path is the place for them to begin before they move on to ‘More Unity‘.
If you or your young people want to get a taste of the fun ‘More Unity’ has in store, there’s the Collision and colours Discover project to try out. This short learning experience showcases the new components the ‘More Unity’ path introduces.
To help our community of CoderDojo and Code Club volunteers bring Unity to their learners, we will host a free Unity-focused webinar on 13 July. Sign up to get a walkthrough of the path from our Learning Manager Mac Bowley, and to ask him any questions you might have.
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What do we talk about when we talk about artificial intelligence (AI)? It’s becoming a cliche to point out that, because the term “AI” is used to describe so many different things nowadays, it’s difficult to know straight away what anyone means when they say “AI”. However, it’s true that without a shared understanding of what AI and related terms mean, we can’t talk about them, or educate young people about the field.
So when we started designing materials for the Experience AI learning programme in partnership with leading AI unit Google DeepMind, we decided to create short explanations of key AI and machine learning (ML) terms. The explanations are doubly useful:
As an example, here is our explanation of the term “artificial intelligence” for learners aged 11–14:
Artificial intelligence (AI) is the design and study of systems that appear to mimic intelligent behaviour. Some AI applications are based on rules. More often now, AI applications are built using machine learning that is said to ‘learn’ from examples in the form of data. For example, some AI applications are built to answer questions or help diagnose illnesses. Other AI applications could be built for harmful purposes, such as spreading fake news. AI applications do not think. AI applications are built to carry out tasks in a way that appears to be intelligent.
You can find 32 explanations in the glossary that is part of the Experience AI Lessons. Here’s an insight into how we arrived at the explanations.
In order to ensure the explanations are as precise as possible, we first identified reliable sources. These included among many others:
Vocabulary is an important part of teaching and learning. When we use vocabulary correctly, we can support learners to develop their understanding. If we use it inconsistently, this can lead to alternate conceptions (misconceptions) that can interfere with learners’ understanding. You can read more about this in our Pedagogy Quick Read on alternate conceptions.
Some of our principles for writing explanations of AI terms were that the explanations need to:
We engaged in an iterative process of writing explanations, gathering feedback from our team and our Experience AI project partners at Google DeepMind, and adapting the explanations. Then we went through the feedback and adaptation cycle until we all agreed that the explanations met our principles.
An important part of what emerged as a result, aside from the explanations of AI terms themselves, was a blueprint for how not to talk about AI. One aspect of this is avoiding anthropomorphism, detailed by Ben Garside from our team here.
As part of designing the the Experience AI Lessons, creating the explanations helped us to:
One of the ways education research informed the explanations was that we used semantic waves to structure each term’s explanation in three parts:
Most explanations also contain ‘middle of the wave’ sentences, which add additional abstract content, bridging the ‘bottom of the wave’ concrete example to the ‘top of the wave’ abstract content.
Here’s the “artificial intelligence” explanation broken up into the parts of the semantic wave:
Some of the explanations went through 10 or more iterations before we agreed they were suitable for publication. After months of thinking about, writing, correcting, discussing, and justifying the explanations, it’s tempting to wonder whether I should have just prompted an AI chatbot to generate the explanations for me.
I tested this idea by getting a chatbot to generate an explanation of “artificial intelligence” using the prompt “Explain what artificial intelligence is, using vocabulary suitable for KS3 students, avoiding anthropomorphism”. The result included quite a few inconsistencies with our principles, as well as a couple of technical inaccuracies. Perhaps I could have tweaked the prompt for the chatbot in order to get a better result. However, relying on a chatbot’s output would mean missing out on some of the value of doing the work of writing the explanations in collaboration with my team and our partners.
The visible result of that work is the explanations themselves. The invisible result is the knowledge we all gained, and the coherence we reached as a team, both of which enabled us to create high-quality resources for Experience AI. We wouldn’t have gotten to know what resources we wanted to write without writing the explanations ourselves and improving them over and over. So yes, it was worth our time.
The process of creating and iterating the AI explanations highlights how opaque the field of AI still is, and how little we yet know about how best to teach and learn about it. At the Raspberry Pi Foundation, we now know just a bit more about that and are excited to share the results with teachers and young people.
You can access the Experience AI Lessons and the glossary with all our explanations at experience-ai.org. The glossary of AI explanations is just in its first published version: we will continue to improve it as we find out more about how to best support young people to learn about this field.
Let us know what you think about the explanations and whether they’re useful in your teaching. Onwards with the exciting work of establishing how to successfully engage young people in learning about and creating with AI technologies.
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An absolutely huge congratulations to each and every single young creator who participated in Coolest Projects 2023, our digital technology showcase for young people! 5801 young people from 37 countries took part. This year’s participants made projects that entertained, inspired, and wowed us — creators showcased everything from robotic arms to platformer games.
We celebrated every project and maker in a special livestream event this Tuesday:
Each year, we invite VIP judges to pick their favourite projects. This year they had the difficult job of choosing between 4111 incredible projects young people showcased. Meet the judges and find out which projects were their favourites.
Yewande is a chartered engineer, innovator, and speaker. She has worked on projects in the UK, Africa, the Middle East, and East Asia, and has been named the UK Young Woman Engineer of the Year by the Institution of Engineering & Technology.
See Yewande’s favourites:
Vaishali is an Indian engineer, innovator, and revolutionary educationist. She is the co-founder of Young Tinker Academy and Young Tinker Foundation, started in 2015 to educate the less-privileged students of rural India. Her team at Young Tinker Foundation has impacted the lives of 150,000+ students.
Lella is an award-winning 18-year-old Digital Changemaker and Power of Youth Champion. Since she taught herself to code at age 8, Lella fosters purpose-driven innovation to create global industry opportunities that ensure young people are at the forefront of the ongoing digital transformation.
Lella’s favourite projects are:
Aoife is the Head of Community Development for Meta Data Centres in Europe and Asia. She and her team deliver on Meta’s commitment to playing a positive role and investing in the long-term vitality of Meta Data Centre communities in Ireland, Denmark, Sweden, and Singapore.
See Aoife’s favourite projects:
Broadcom Foundation has partnered with us for Coolest Projects to encourage young people who are solving problems that impact their communities. Broadcom Coding with Commitment™ is a special recognition for a Coolest Projects creator aged 11–14 who has learned basic coding as an essential problem-solving tool in STEM and is “thinking globally while acting locally.”
The Broadcom Coding with Commitment™ recognition goes to Smart Farm, a project by Dang, Chi, and An from Vietnam. They designed Smart Farm to help farmers in their community regulate the temperature of animals, feed them on time, and check them for diseases. The team also built a fish pond model that tests the pH of the water and a vegetable garden model that detects when vegetables are wilting, all with the aim of helping local farmers to care for their livestock and protect their livelihoods. Huge congratulations to the team!
Our judges have chosen their favourite projects — but what about yours? You can explore thousands of incredible projects for 2023 young creators in the Coolest Projects showcase gallery and discover your favourites today.
All young creators who took part will shortly receive their own unique certificate to recognise their amazing achievements. They’ll also be able to log into their Coolest Projects account to find personalised feedback on their projects from our judging team.
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: Allianz Technologies, Broadcom Foundation, EPAM Systems, Liberty Global, Meta, and Qube Research and Technologies.
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How do we best prepare young children for a world filled with digital technology? This is the question the writers in our newest issue of Hello World respond to with inspiration and ideas for computing education in primary school.
It is vital that young children gain good digital literacy skills and understanding of computing concepts, which they can then build on as they grow up. Digital technology is here to stay, and as Sethi De Clercq points out in his article, we need to prepare our youngest learners for circumstances and jobs that don’t yet exist.
Issue 21 of Hello World covers a big range of topics in the theme of primary computing education, including:
The issue also has useful news and updates about our work: we share insights from our primary-specialist learning managers, tell you a bit about the research presented at our ongoing primary education seminar series, and include some relevant lesson plans from The Computing Curriculum.
As always, you’ll find many other articles to support and inspire you in your computing teaching in this new issue. Topics include programming with dyslexia, exploring filter bubbles with your learners to teach them about data science, and using metaphors, similes, and analogies to help your learners understand abstract concepts.
This issue of Hello World focusses on primary computing education because readers like you told us in the annual readers’ survey that they’d like more articles for primary teachers.
We love to hear your ideas about what we can do to continue making Hello World interesting and relevant for you. So please get in touch on Twitter with your thoughts and suggestions.
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How do we teach our youngest learners digital and computing skills? Hello World‘s issue 21 will focus on this question and all things primary school computing education. We’re excited to share this new issue with you on Tuesday 30 May. Today we’re giving you a taste by sharing an article from it, written by our own Sway Grantham.
How are you preparing young children for a world filled with digital technology? Technology use of our youngest learners is a hotly debated topic. From governments to parents and from learning outcomes to screen-time rules, everyone has an opinion on the ‘right’ approach. Meanwhile, many young children encounter digital technology as a part of their world at home. For example in the UK, 87 percent of 3- to 4-year-olds and 93 percent of 5- to 7-year-olds went online at home in 2023. Schools should be no different.
As educators, we have a responsibility to prepare learners for life in a digital world. We want them to understand its uses, to be aware of its risks, and to have access to the wide range of experiences unavailable without it. And we especially need to consider the children who do not encounter technology at home. Education should be a great equaliser, so we need to ensure all our youngest learners have access to the skills they need to realise their full potential.
A major aspect of early-years or kindergarten education is about learners sharing their world with each other and discovering that everyone has different experiences and does things in their own way. Using digital technology is no different.
Allowing learners to share their experiences of using digital technology both accepts the central role of technology in our lives today and also introduces them to its broader uses in helping people to learn, talk to others, have fun, and do work. At home, many young learners may use technology to do just one of these things. Expanding their use of technology can encourage them to explore a wider range of skills and to see technology differently.
In their classroom environment, these explorations can first take place as part of the roleplay area of a classroom, where learners can use toys to show how they have seen people use technology. It may seem counterintuitive that play-based use of non-digital toys can contribute to reducing the digital divide, but if you don’t know what technology can do, how can you go about learning to use it? There is also a range of digital roleplay apps (such as the Toca Boca apps) that allow learners to recreate their experiences of real-world situations, such as visiting the hospital, a hair salon, or an office. Such apps are great tools for extending roleplay areas beyond the resources you already have.
Another aspect of a child’s learning that technology can facilitate is their understanding of the world beyond their local community. Technology allows learners to explore the wider world and follow their interests in ways that are otherwise largely inaccessible. For example:
Each of these opportunities gives children a richer understanding of the world while they use technology in meaningful ways.
Beyond helping children to better understand our world, technology offers opportunities to be expressive and imaginative. For example, alongside your classroom art activities, how about using an app like Draw & Tell, which helps learners draw pictures and then record themselves explaining what they are drawing? Or what about using filters on photographs to create artistic portraits of themselves or their favourite toys? Digital technology should be part of the range of tools learners can access for creative play and expression, particularly where it offers opportunities that analogue tools don’t.
Using technology is also invaluable for learners who struggle with communication and language skills. When speaking is something you find challenging, it can often be intimidating to talk to others who speak much more confidently. But speaking to a tablet? A tablet only speaks as well as you do. Apps to record sounds and listen back to them are a helpful way for young children to learn about how clear their speech is and practise speech exercises. ChatterPix Kids is a great tool for this. It lets learners take a photo of an object, e.g. their favourite soft toy, and record themselves talking about it. When they play back the recording, the app makes it look like the toy is saying their words. This is a very engaging way for young learners to practise communicating.
No matter how we feel about the role of technology in the lives of young people, it is a part of their world. We need to ensure we are giving all learners opportunities to develop digital skills and understand the role of technology, including how people can use it for social good.
This is not just about preparing them for their computing education (although that’s definitely a bonus!) or about online safety (although this is vital — see my articles in Hello World issue 15 and issue 19 for more about the topic). It’s about their right to be active citizens in the digital world.
So I ask again: how are you preparing young children for a digital world?
The first experiences children have with learning about computing and digital technologies are formative. That’s why primary computing education should be of interest to all educators, no matter what the age of your learners is. This issue covers for example:
And there’s much more besides. So don’t miss out on this upcoming issue of Hello World — subscribe for free today to receive every PDF edition in your inbox on the day of publication.
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Every day, most of us both consume and create data. For example, we interpret data from weather forecasts to predict our chances of a good weather for a special occasion, and we create data as our carbon footprint leaves a trail of energy consumption information behind us. Data is important in our lives, and countries around the world are expanding their school curricula to teach the knowledge and skills required to work with data, including at primary (K–5) level.
In our most recent research seminar, attendees heard about a research-based initiative called Data Education in Schools. The speakers, Kate Farrell and Professor Judy Robertson from the University of Edinburgh, Scotland, shared how this project aims to empower learners to develop data literacy skills and succeed in a data-driven world.
“Data literacy is the ability to ask questions, collect, analyse, interpret and communicate stories about data.”
– Kate Farrell & Prof. Judy Robertson
Scotland’s national curriculum does not explicitly mention data literacy, but the topic is embedded in many subjects such as Maths, English, Technologies, and Social Studies. Teachers in Scotland, particularly in primary schools, have the flexibility to deliver learning in an interdisciplinary way through project-based learning. Therefore, the team behind Data Education in Schools developed a set of cross-curricular data literacy projects. Educators and education policy makers in other countries who are looking to integrate computing topics with other subjects may also be interested in this approach.
The Data Education in Schools projects are aimed not just at giving learners skills they may need for future jobs, but also at equipping them as data citizens in today’s world. A data citizen can think critically, interpret data, and share insights with others to effect change.
Kate and Judy shared an example of data citizenship from a project they had worked on with a primary school. The learners gathered data about how much plastic waste was being generated in their canteen. They created a data visualisation in the form of a giant graph of types of rubbish on the canteen floor and presented this to their local council.
As a result, the council made changes that reduced the amount of plastic used in the canteen. This shows how data citizens are able to communicate insights from data to influence decisions.
Across its projects, the Data Education in Schools initiative uses a problem-solving cycle called the PPDAC cycle. This cycle is a useful tool for creating educational resources and for teaching, as you can use it to structure resources, and to concentrate on areas to develop learner skills.
The five stages of the cycle are:
Smaller data literacy projects may focus on one or two stages within the cycle so learners can develop specific skills or build on previous learning. A large project usually includes all five stages, and sometimes involves moving backwards — for example, to refine the problem — as well as forwards.
At primary school, the aim of data literacy projects is to give learners an intuitive grasp of what data looks like and how to make sense of graphs and tables. Our speakers gave some great examples of playful approaches to data. This can be helpful because younger learners may benefit from working with tangible objects, e.g. LEGO bricks, which can be sorted by their characteristics. Kate and Judy told us about one learner who collected data about their clothes and drew the results in the form of clothes on a washing line — a great example of how tangible objects also inspire young people’s creativity.
As learners get older, they can begin to work with digital data, including data they collect themselves using physical computing devices such as micro:bit microcontrollers or Raspberry Pi computers.
You can access the seminar slides here.
For many attendees, one of the highlights of the seminar was seeing the range of high-quality teaching resources for learners aged 3–18 that are part of the Data Education in Schools project. These include:
More resources are due to be published later in 2023, including a set of prompt cards to guide learners through the PPDAC cycle, a handbook for teachers to support the teaching of data literacy, and a set of virtual data-themed escape rooms.
You may also be interested in the units of work on data literacy skills that are part of The Computing Curriculum, our complete set of classroom resources to teach computing to 5- to 16-year-olds.
At our next seminar we welcome Aim Unahalekhaka from Tufts University, USA, who will share research about a rubric to evaluate young learners’ ScratchJr projects. If you have a tablet with ScratchJr installed, make sure to have it available to try out some activities. The seminar will take place online on Tuesday 6 June at 17.00 UK time, sign up now to not miss out.
To find out more about connecting research to practice for primary computing education, you can see a list of our upcoming monthly seminars on primary (K–5) teaching and learning and watch the recordings of previous seminars in this series.
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We are delighted to announce that we’ve launched Experience AI, our new learning programme to help educators to teach, inspire, and engage young people in the subject of artificial intelligence (AI) and machine learning (ML).
Experience AI is a new educational programme that offers cutting-edge secondary school resources on AI and machine learning for teachers and their students. Developed in partnership by the Raspberry Pi Foundation and DeepMind, the programme aims to support teachers in the exciting and fast-moving area of AI, and get young people passionate about the subject.
Artificial intelligence and machine learning applications are already changing many aspects of our lives. From search engines, social media content recommenders, self-driving cars, and facial recognition software, to AI chatbots and image generation, these technologies are increasingly common in our everyday world.
Young people who understand how AI works will be better equipped to engage with the changes AI applications bring to the world, to make informed decisions about using and creating AI applications, and to choose what role AI should play in their futures. They will also gain critical thinking skills and awareness of how they might use AI to come up with new, creative solutions to problems they care about.
The AI applications people are building today are predicted to affect many career paths. In 2020, the World Economic Forum estimated that AI would replace some 85 million jobs by 2025 and create 97 million new ones. Many of these future jobs will require some knowledge of AI and ML, so it’s important that young people develop a strong understanding from an early age.
Something we get asked a lot is: “How do I teach AI and machine learning with my class?”. To answer this question, we have developed a set of free lessons for secondary school students (age 11 to 14) that give you everything you need including lesson plans, slide decks, worksheets, and videos.
The lessons focus on relatable applications of AI and are carefully designed so that teachers in a wide range of subjects can use them. You can find out more about how we used research to shape the lessons and how we aim to avoid misconceptions about AI.
The lessons are also for you if you’re an educator or volunteer outside of a school setting, such as in a coding club.
As part of this exciting first phase, we’re inviting teachers to participate in research to help us further develop the resources. All you need to do is sign up through our website, download the lessons, use them in your classroom, and give us your valuable feedback.
We’ve designed the Experience AI lessons with teacher support in mind, and so that you can deliver them to your learners aged 11 to 14 no matter what your subject area is. Each of the lesson plans includes a section that explains new concepts, and the slide decks feature embedded videos in which DeepMind’s AI researchers describe and bring these concepts to life for your learners.
We will also be offering you a range of new teacher training opportunities later this year, including a free online CPD course — Introduction to AI and Machine Learning — and a series of AI-themed webinars.
We will be inviting schools across the UK to test and improve the Experience AI lessons through feedback. We are really looking forward to working with you to shape the future of AI and machine learning education.
Visit the Experience AI website today to get started.
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In the 1950s, Alan Turing explored the central question of artificial intelligence (AI). He thought that the original question, “Can machines think?”, would not provide useful answers because the terms “machine” and “think” are hard to define. Instead, he proposed changing the question to something more provable: “Can a computer imitate intelligent behaviour well enough to convince someone they are talking to a human?” This is commonly referred to as the Turing test.
It’s been hard to miss the newest generation of AI chatbots that companies have released over the last year. News articles and stories about them seem to be everywhere at the moment. So you may have heard of machine learning (ML) chatbots such as ChatGPT and LaMDA. These chatbots are advanced enough to have caused renewed discussions about the Turing Test and whether the chatbots are sentient.
Without any knowledge of how people create such chatbots, it’s easy to imagine how someone might develop an incorrect mental model around these chatbots being living entities. With some awareness of Sci-Fi stories, you might even start to imagine what they could look like or associate a gender with them.
The reality is that these new chatbots are applications based on a large language model (LLM) — a type of machine learning model that has been trained with huge quantities of text, written by people and taken from places such as books and the internet, e.g. social media posts. An LLM predicts the probable order of combinations of words, a bit like the autocomplete function on a smartphone. Based on these probabilities, it can produce text outputs. LLM chatbots run on servers with huge amounts of computing power that people have built in data centres around the world.
AI applications are often described as “black boxes” or “closed boxes”: they may be relatively easy to use, but it’s not as easy to understand how they work. We believe that it’s fundamentally important to help everyone, especially young people, to understand the potential of AI technologies and to open these closed boxes to understand how they actually work.
As always, we want to demystify digital technology for young people, to empower them to be thoughtful creators of technology and to make informed choices about how they engage with technology — rather than just being passive consumers.
That’s the goal we have in mind as we’re working on lesson resources to help teachers and other educators introduce KS3 students (ages 11 to 14) to AI and ML. We will release these Experience AI lessons very soon.
Our researchers at the Raspberry Pi Computing Education Research Centre have started investigating the topic of AI and ML, including thinking deeply about how AI and ML applications are described to educators and learners.
To support learners to form accurate mental models of AI and ML, we believe it is important to avoid using words that can lead to learners developing misconceptions around machines being human-like in their abilities. That’s why ‘anthropomorphism’ is a term that comes up regularly in our conversations about the Experience AI lessons we are developing.
To anthropomorphise: “to show or treat an animal, god, or object as if it is human in appearance, character, or behaviour”
https://dictionary.cambridge.org/dictionary/english/anthropomorphize
Anthropomorphising AI in teaching materials might lead to learners believing that there is sentience or intention within AI applications. That misconception would distract learners from the fact that it is people who design AI applications and decide how they are used. It also risks reducing learners’ desire to take an active role in understanding AI applications, and in the design of future applications.
Avoiding anthropomorphism helps young people to open the closed box of AI applications. Take the example of a smart speaker. It’s easy to describe a smart speaker’s functionality in anthropomorphic terms such as “it listens” or “it understands”. However, we think it’s more accurate and empowering to explain smart speakers as systems developed by people to process sound and carry out specific tasks. Rather than telling young people that a smart speaker “listens” and “understands”, it’s more accurate to say that the speaker receives input, processes the data, and produces an output. This language helps to distinguish how the device actually works from the illusion of a persona the speaker’s voice might conjure for learners.
Another example is the use of AI in computer vision. ML models can, for example, be trained to identify when there is a dog or a cat in an image. An accurate ML model, on the surface, displays human-like behaviour. However, the model operates very differently to how a human might identify animals in images. Where humans would point to features such as whiskers and ear shapes, ML models process pixels in images to make predictions based on probabilities.
The Experience AI lesson resources we are developing introduce students to AI applications and teach them about the ML models that are used to power them. We have put a lot of work into thinking about the language we use in the lessons and the impact it might have on the emerging mental models of the young people (and their teachers) who will be engaging with our resources.
It’s not easy to avoid anthropomorphism while talking about AI, especially considering the industry standard language in the area: artificial intelligence, machine learning, computer vision, to name but a few examples. At the Foundation, we are still training ourselves not to anthropomorphise AI, and we take a little bit of pleasure in picking each other up on the odd slip-up.
Here are some suggestions to help you describe AI better:
| Avoid using | Instead use |
| Avoid using phrases such as “AI learns” or “AI/ML does” | Use phrases such as “AI applications are designed to…” or “AI developers build applications that…” |
| Avoid words that describe the behaviour of people (e.g. see, look, recognise, create, make) | Use system type words (e.g. detect, input, pattern match, generate, produce) |
| Avoid using AI/ML as a countable noun, e.g. “new artificial intelligences emerged in 2022” | Refer to ‘AI/ML’ as a scientific discipline, similarly to how you use the term “biology” |
If we are correct in our approach, then whether or not the young people who engage in Experience AI grow up to become AI developers, we will have helped them to become discerning users of AI technologies and to be more likely to see such products for what they are: data-driven applications and not sentient machines.
If you’d like to get involved with Experience AI and use our lessons with your class, you can start by visiting us at experience-ai.org.
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We are building a new online text-based Code Editor to help young people aged 7 and older learn to write code. It’s free and designed for young people who attend Code Clubs and CoderDojos, students in schools, and learners at home.
At this stage of development, the Code Editor enables learners to:
We’ve chosen Python as the first programming language our Code Editor supports because it is popular in schools, CoderDojos, and Code Clubs. Many educators and young people like Python because they see it as similar to the English language. It is often the text-based language young people learn when they take their first steps away from a block-based programming environment, such as Scratch.
Python is also widely used by professional programmers and usually tops at least one of the industry-standard indexes that ranks programming languages.
We will be adding support for web development languages (HTML/CSS/JavaScript) to the Editor in the near future.
We’re also planning to add features such as project sharing and collaboration, which we know young people will love. We want the Editor to be safe, accessible, and age-appropriate. As safeguarding is always at the core of what we do, we’ll only make new features available once we’ve ensured they comply with the ICO’s age-appropriate design code and our safeguarding policies.
We are inviting you to test the Code Editor as part of what we call the beta phase of development. As the Editor is still in development, some things might not look or work as well as we’d like — and this is why we need your help.
We’d love you to try the Editor out and let us know what worked well for you, what didn’t work well, and what you’d like to see next.
You can now try out the Code Editor in the first two projects of our ‘Intro to Python’ path. We’ve included a feedback form for you to let us know which project you tried, and what you think of the Editor. We’d love to hear from you.
Your feedback helps us decide what to do next. Based on what learners, educators, volunteers, teachers, and parents tell us, we will make the improvements to the Editor that matter most to the young people we aim to support.
One of our long-term goals is to engage millions of young people in learning about computing and how to create with digital technologies. We’re developing the Code Editor with three main aims in mind.
We aim to build the Code Editor so it:
Our work on the Code Editor will:
We want to offer a Code Editor that:
We’re also planning on making the Editor available as an open source project so that other projects and organisations focussed on helping people learn to code can benefit. More on this soon.
Our work on the Code Editor has been generously funded by the Algorand Foundation and Endless, and we thank them for their generous support. If you are interested in partnering with us to fund this key work, please reach out to us via email.
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We are working in partnership with Amala Education to pilot a vocational skills course for displaced learners aged 16 to 25 in Kakuma refugee camp, Kenya.
Kakuma camp was set up in Kenya in 1992, following a civil war in neighbouring South Sudan in East Africa. The UNHCR estimates that 200,000 people live in the camp today, although other data sources may record larger numbers of residents. 6 out of 10 people living in Kakuma camp are age 18 or younger.
We’ve designed a 100-hour, 10-week course called Using online digital technologies to create change for the Amala learners in Kakuma camp. The course focused on digital skills including making media and websites, with its content we adapted from our Computing Curriculum. The course pilot was delivered alongside Amala’s High School Diploma programme, which is the first internationally accredited course programme enabling refugee and host community youth to complete their education through flexible study.
Our thanks go to the Ezrah Charitable Trust for generously funding our work in this partnership.
We are learning a lot during this pilot, so we are writing a set of three blogs to share these lessons with you.
Today’s blog is Amala Education‘s perspective on their learners in Kakuma Camp, the purpose of digital skills education, and the course design and facilitation. We will also share our approach to adapting learning resources for the context of the Amala learners and using data to assess the course, and what other support we’ve put in place to ensure this educational project is self-sustaining.
By Polly Akhurst (Co-founder and Co-Executive Director, Amala Education), Louie Barnett (Education Lead, Amala Education) & Ajak Mayen Jok (Programme Coordinator, Amala Education)
Our learners wanted a course that develops not just their digital literacy, but one that aligns with Amala’s agency-based learning model, which gives young people the skills to improve their communities. Many of our learners have limited experience of using digital tools but a huge desire to develop these skills, which they see as essential to improving their lives and the lives of their community members.
So we knew we needed a course that not just builds learners’ technical knowledge and skills but can also enrich their lived experience.
How would we do it?
Enter the Raspberry Pi Foundation team. We combined Amala’s agency-based educational approach with the Raspberry Pi Foundation’s experience in pedagogy and teaching about technology and digital literacy to design a course that truly resonates with our learners.
Before developing the course, the Raspberry Pi Foundation team held focus groups with facilitators and learners in Kakuma camp to understand their needs. This helped them to pitch the 100 hours of course materials at the right level for the learners.
We called the course Using online technologies to create change. It takes the learners on a journey, building their foundation elements of computing and digital literacy. Learners start by finding out how digital devices work using input, process, and output. Then they move on to understanding computer networks. The course includes hands-on activities related to creating media, like filming and reviewing content and creating and choosing sounds to use in a podcast. There is also some light-touch web development with HTML and JavaScript. At the end of the course, learners design and deliver a presentation that reflects the work they’ve completed.
“Before I joined the course, I really didn’t know much about how to operate technology, but through the learning and the process, now I am able to learn something that will be beneficial for me and the people in my community.” — Learner in Kakuma refugee camp
Throughout the course, learners use their newly gained skills and knowledge to make their own project aimed at creating positive change. One example project is this website developed by Shyaka Cedric and other learners, which shares how podcasts and remote learning helped their community stay safe and healthy during the pandemic. Another group of learners used their photography and design skills to develop ID cards to keep Amala students safe within the camp. Having an Amala student ID card protects learners because they can prove their identity to their community and the police.
One of the great things about this course is that the Amala facilitators who taught the learners look, speak, and sound like them. Amala facilitators are from within the camp, and that they are relatable is great for learners’ self-confidence.
Having the course facilitated by fellow refugees removes the stigmatisation that the learners are vulnerable and sets the precedent that they can do anything if they put their mind to it.
“It gave me power of… getting involved with new things…Any challenge that comes my way I am willing to take after the Raspberry Pi class now…” — Learner in Kakuma refugee camp
While the Raspberry Pi Foundation team worked to make the course content relevant for the learners, our facilitators further localised the content to ensure its relatability for learners. Local contextualisation helps students to understand what they are learning, and to identify with the content — it’s not something out of the blue for them. Localisation is also important because it helps implement one of Amala’s cornerstones: decolonising the African curriculum.
Because the learners in Kakuma camp lead complex social lives and face high levels of precarity, we decided to make the pilot course optional through our existing Diploma programme. We anticipated a modest enrollment rate, but instead over 100 people within the Amala learner community expressed an interest in this 75-person course. This showed us that the value and urgency of digital literacy in refugee communities is more pertinent than ever.
In a world where a lack of access to technology and digital skills exacerbates existing inequalities, it is critically important for young people who are disadvantaged to access meaningful learning opportunities. As one learner put it:
“I want to study this course because the current world is a digital world and I would like to acquire the skills to boost my computer skills and be able to help myself by getting a job and transforming the community through the digital world.” — Learner in Kakuma refugee camp
We have a blueprint of what works in Kakuma refugee camp, and we are also learning what doesn’t. Bringing these lessons together will help us offer the course to more learners in Kakuma, and adapt the content in other locations, like our site in Amman, Jordan.
Look out for our follow-up blogs about the support we put in place to enable learners in Kakuma camp to participate in the course, and how we worked to create course content that is suitable for them.
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The European Astro Pi Challenge offers young people the opportunity to write computer programs that run on Raspberry Pi computers on board the International Space Station (ISS). There are two free, annual missions to participate in: Mission Zero and Mission Space Lab.
Sending your computer program to space is amazing already, and to inspire even more young people about this opportunity, we’re sharing some of the fascinating stories European Space Agency astronaut Matthias Maurer told last round’s Mission Space Lab team winners about his experiences on the ISS.
Last round’s winning Mission Space Lab teams were invited to a very special online session with Matthias, and he shared lots of thoughtful and surprising insights from his mission on the International Space Station. Here are three of the questions from the teams and what Matthias had to say:
Lots of the teams wanted to know about the practicalities of life on the ISS. Team Ad Astra from the UK asked “How did you and your crewmates ensure that you got on well together?” Matthias talked about how supporting each member of the team helps everyone work well together:
It was surprising to hear that the astronauts on the ISS have lots of opportunities to communicate with people on Earth. Matthias explained how the astronauts can keep in regular contact with their family while answering the question from Team Atlantes from Spain:
Team NanoKids asked Matthias about the technologies astronauts use on the ISS, and Matthias shared some fascinating glimpses into what tools help the astronauts in their surroundings:
Thank you to all the teams for these great questions. And thank you to Matthias for offering young people a peek into what life is like in space!
We hope Matthias’ stories inspire lots of young people to take part in the European Astro Pi Challenge. Registration for this round of Mission Space Lab is closed, so why not sign up for news about the next round?
But it’s not too late for young people to get involved today and become part of space history. Astro Pi Mission Zero is still open for participation a little while longer — until 17 March.
Mission Zero is a beginner’s coding activity, so it’s really easy to get involved: young people just need a grown-up to register for them, and a computer with a web browser to participate. In Mission Zero, young people up to age 19 in eligible countries have the chance to send their own simple computer program into space to display a colourful image for the astronauts to see on the ISS.
The one-hour Mission Zero activity comes with step-by-step instructions for young people to follow. No special equipment or coding skills are needed, and all eligible young people who follow the guidelines will have their program run in space. Every Mission Zero participants receives a certificate to show the exact time and the location of the ISS during their programs run, so they’ll have something to remember their stellar achievement.
The European Astro Pi Challenge is an ESA Education project run in collaboration with us here at the Raspberry Pi Foundation.
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Every young learner needs a successful start to their learning journey in the primary computing classroom. One aspect of this for teachers is to introduce programming to their learners in a structured way. As computing education is introduced in more schools, the need for research-informed strategies and approaches to support beginner programmers is growing. Over recent years, researchers have proposed various strategies to guide teachers and students, such as the block model, PRIMM, and, in the case of this month’s seminar, TIPP&SEE.
We are committed to make computing and creating with digital technologies accessible to all young people, including through our work with educators and researchers. In our current online research seminar series, we focus on computing education for primary-aged children (K–5, ages 5 to 11). In the series’ second seminar, we were delighted to welcome Dr Jean Salac, researcher in the Code & Cognition Lab at the University of Washington.
Jean’s work sits across computing education and human-computer interaction, with an emphasis on justice-focused computing for youth. She talked to the seminar attendees about her work on developing strategies to support primary school students learning to program in Scratch. Specifically, Jean described an approach called TIPP&SEE and how teachers can use it to guide their learners through programming activities.
TIPP&SEE is a metacognitive approach for programming in Scratch. The purpose of metacognitive strategies is to help students become more aware of their own learning processes.
TIPP&SEE scaffolds students as they learn from example Scratch projects: TIPP (Title, Instructions, Purpose, Play) is a scaffold to read and run a Scratch project, while SEE (Sprites, Events, Explore) is a scaffold to examine projects more deeply and begin to adapt them.
TIPP&SEE is inspired by the work of Irene Lee and colleagues who proposed a progressive three-stage approach called Use-Modify-Create. Following that approach, learners move from reading pre-existing programs (“not mine”) to adapting and creating their own programs (“mine”) and gradually increase ownership of their learning.
Proponents of scaffolded approaches like Use-Modify-Create argue that engaging learners in cycles of using existing programs (e.g. worked examples) before they move to adapting and creating new programs encourages ownership and agency in learning. TIPP&SEE builds on this model by providing additional scaffolding measures to support learners.
Jean presented some promising results from her research on the use of TIPP&SEE in classrooms. In one study, fourth-grade learners (age 9 to 10) were randomly assigned to one of two groups: (i) Use-Modify-Create only (the control group) or (ii) Use-Modify-Create with TIPP&SEE. Jean found that, compared to learners in the control group, learners in the TIPP&SEE group:
In another study, Jean compared how learners in the TIPP&SEE and control groups performed on several cognitive tests. She found that, in the TIPP&SEE group, students with learning difficulties performed as well as students without learning difficulties. In other words, in the TIPP&SEE group the performance gap was much narrower than in the control group. In our seminar, Jean argued that this indicates the TIPP&SEE scaffolding provides much-needed support to diverse groups of students.
TIPP&SEE is a multi-step strategy where learners start by looking at the surface elements of a program, and then move on to examining the underlying code. In the TIPP phase, learners first read the title and instructions of a Scratch project, identify its purpose, and then play the project to see what it does.
In the second phase, SEE, learners look inside the Scratch project to click on sprites and predict what each script is doing. They then make changes to the Scratch code and see how the project’s output changes. By changing parameters, learners can observe which part of the output changes as a result and then reason how each block functions. This practice is called deliberate tinkering because it encourages learners to observe changes while executing programs multiple times with different parameters.
You can read more of Jean’s research on TIPP&SEE on her website. There’s also a video on how TIPP&SEE can be used, and free lesson resources based on TIPP&SEE are available in Elementary Computing for ALL and Scratch Encore.
Jean’s talk highlighted the need for computing to be inclusive and to give equitable access to all learners. The field of computing education is still in its infancy, though our understanding of how young people learn about computing is growing. We ourselves work to deepen our understanding of how young people learn through computing and digital making experiences.
In our own research, we have been investigating similar teaching approaches for programming, including the use of the PRIMM approach in the UK, so we were very interested to learn about different approaches and country contexts. We are grateful to Dr Jean Salac for sharing her work with researchers and teachers alike. Watch the recording of Jean’s seminar to hear more:
If you are looking for more free resources to help you structure your computing lessons:
In the next seminar of our online series on primary computing, I will be presenting my research on integrated computing and literacy activities. Sign up now to join us for this session on Tues 7 March:
As always, the seminars will take place online on the first Tuesday of the month at 17:00–18:30 UK time. Hope to see you there!
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Young creators, it’s time to share your ideas with the world! Registration for Coolest Projects is now open.
Coolest Projects is an online showcase celebrating all young people who create with digital technology. From today, Monday 6 February, young people can register their projects on the Coolest Projects website. Registered projects will be part of the online showcase gallery, for people all over the world to see.
By entering your digital tech creations into Coolest Projects, you’ll have the chance to get personalised feedback about your project, represent your country in the online showcase, and get fun, limited-edition swag. Your project could even be selected as a favourite by our very special VIP judges.
Coolest Projects is an online celebration of young digital tech creators worldwide, their skills, and their wonderful creative ideas. We welcome all kinds of projects, from big to small, beginner to advanced, and work in progress to completed creation.
Here’s what you need to know:
If you’d like help with your idea or project, take a look at our free, step-by-step Coolest Projects workbook and coding project guides. You can also get inspired by all the creations in the 2022 showcase gallery.
You are also very welcome to register a tech project you’ve already made and want to share with the world this year.
We offer free resources to help mentors and parents support young people through the process of taking part in Coolest Projects, from imagining ideas, to creating projects, to registration.
There are loads more announcements to come, so make sure to subscribe to the Coolest Projects newsletter to be the first to find out about this year’s VIP judges, limited-edition digital swag, and much more.
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In our first seminar of 2023, we were delighted to welcome Dr Katie Rich and Carla Strickland. They spoke to us about teaching the programming construct of variables in Grade 3 and 4 (age 8 to 10).
We are hearing from a diverse range of speakers in our current series of monthly online research seminars focused on primary (K-5) computing education. Many of them work closely with educators to translate research findings into classroom practice to make sure that all our younger learners have positive first experiences of learning computing. An important goal of their research is to impact the development of pedagogy, resources, and professional development to support educators to deliver computing concepts with confidence.
Dr Katie Rich (American Institutes of Research) and Carla Strickland (UChicago STEM Education) are both part of a team that worked on a research project called Everyday Computing, which aims to integrate computational thinking into primary mathematics lessons. A key part of the Everyday Computing project was to develop coherent learning resources across a number of school years. During the seminar, Katie and Carla presented on a study in the project that revolved around teaching variables in Grade 3 and 4 (age 8 to 10) by linking this computing concept to mathematical concepts such as area, perimeter, and fractions.
Variables are used in both mathematics and computing, but in significantly different ways. In mathematics, a variable, often represented by a single letter such as x or y, corresponds to a quantity that stays the same for a given problem. However, in computing, a variable is an identifier used to label data that may change as a computer program is executed. A variable is one of the programming constructs that can be used to generalise programs to make them work for a range of inputs. Katie highlighted that the research team was keen to explore the synergies and tensions that arise when curriculum subjects share terms, as is the case for ‘variable’.
At the start of the project, in order to be able to develop coherent learning resources across school years, the team reviewed research papers related to teaching the programming construct of variables. In the papers, they found a variety of learning goals that related to facts (what learners need to know) and skills (what learners need to be able to do). They grouped these learning goals and arranged the groups into ‘levels of thinking’, which were then mapped onto a learning trajectory to show progression pathways for learning.
Carla then shared three practical examples of learning resources their research team created that integrated the programming construct of variables into a maths curriculum. The three activities, described below, form part of a series of lessons called Action Fractions. You can read more about the series of lessons in this research paper.
Robot Boxes is an unplugged activity that is positioned at the Data User level of thinking. It relates to creating instructions for a fictional robot. Learners have to pay attention to different data the robot needs in order to draw a box, such as the length and width, and also to the value that the robot calculates as area of the box. The lesson uses boxes on paper as concrete representations of variables to which learners can physically add values.
Ambling Animals is set at the ‘Data Storer’ and ‘Variable Interpreter’ levels of thinking. It includes a Scratch project to help students to locate and compare fractions on number lines. During this lesson, find a variable that holds the value of the animal that represents the larger of two fractions.
Adding Fractions draws on facts and skills from the ‘Variable Interpreter’ and ‘Variable Implementer’ levels of thinking and also includes a Scratch project. The Scratch project visualises adding fractions with the same denominator on a number line. The lesson starts to explain why variables are so important in computer programs by demonstrating how using a variable can make code more efficient.
Teaching about the programming construct of variables can be challenging, as it requires young learners to understand abstract ideas. The research Katie and Carla presented shows how integrating these concepts into a mathematics curriculum is one way to highlight tangible uses of variables in everyday problems. The levels of thinking in the learning trajectory provide a structure helping teachers to support learners to develop their understanding and skills; the same levels of thinking could be used to introduce variables in other contexts and curricula.
Many primary teachers use cross-curricular learning to increase children’s engagement and highlight real-world examples. The seminar showed how important it is for teachers to pay attention to terms used across subjects, such as the word ‘variable’, and to explicitly explain a term’s different meanings. Katie and Carla shared a practical example of this when they suggested that computing teachers need to do more to stress the difference between equations such as xy = 45 in maths and assignment statements such as length = 45 in computing.
The Everyday Computing project resources were created by a team of researchers and educators who worked together to translate research findings into curriculum materials. This type of collaboration can be really valuable in driving a research agenda to directly improve learning outcomes for young people in classrooms.
How can this research influence your classroom practice or other activities as an educator? Let us know your thoughts in the comments. We’ll be continuing to reflect on this question throughout the seminar series.
You can watch Katie’s and Carla’s full presentation here:
Our monthly seminar series on primary (K–5) teaching and learning is of interest to a global audience of educators, including those who want to understand the prior learning experiences of older learners.
We continue on Tuesday 7 February at 17.00 UK time, when we will hear from Dr Jean Salac, University of Washington. Jean will present her work in identifying inequities in elementary computing instruction and in developing a learning strategy, TIPP&SEE, to address these inequities. Sign up now, and we will send you a joining link for the session.
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In the final seminar in our series on cross-disciplinary computing, Dr Tracy Gardner and Rebecca Franks, who work here at the Foundation, described the framework underpinning the Foundation’s non-formal learning pathways. They also shared insights from our recently published literature review about the impact that non-formal computing education has on learners.
Tracy and Rebecca both have extensive experience in teaching computing, and they are passionate about inspiring young learners and broadening access to computing education. In their work here, they create resources and content for learners in coding clubs and young people at home.
UNESCO defines non-formal learning as “institutionalised, intentional, and planned… an addition, alternative, and/or complement to formal education within the process of life-long learning of individuals”. In terms of computing education, this kind of learning happens in after-school programmes or children’s homes as they engage with materials that have been carefully designed by education providers.
At the Raspberry Pi Foundation, we support two global networks of free, volunteer-led coding clubs where regular non-formal learning takes place: Code Club, teacher- and volunteer-led coding clubs for 9- to 13-year-olds taking place in schools in more than160 countries; and CoderDojo, volunteer-led programming clubs for young people aged 7–17 taking place in community venues and offices in 100 countries. Through free learning resources and other support, we enable volunteers to run their club sessions, offering versatile opportunities and creative, inclusive spaces for young people to learn about computing outside of the school curriculum. Volunteers who run Code Clubs or CoderDojos report that participating in the club sessions positively impacts participants’ programming skills and confidence.
Rebecca and Tracy are part of the team here that writes the learning resources young people in Code Clubs and CoderDojos (and beyond) use to learn to code and create technology.
Rebecca started the seminar by describing how the team reviewed existing computing pedagogy research into non-formal learning, as well as large amounts of website visitor data and feedback from volunteers, to establish a new framework for designing and creating coding resources in the form of learning paths.
As Rebecca explained, non-formal learning paths should be designed to bridge the so-called ‘Turing tar-pit’: the gap between what learners want to do, and what they have the knowledge and resources to achieve.
To prevent learners from getting frustrated and ultimately losing interest in computing, learning paths need to:
When Rebecca and Tracy’s team create new learning paths, they first focus on the things that learners want to make. Then they work backwards to bridge the gap between learners’ big ideas and the knowledge and skills needed to create them. To do this, they use the 3…2…1…Make! framework they’ve developed.
Learning paths designed according to the framework are made up of three different types of project in a 3-2-1 structure:
You can learn more about the framework in this blog post and this guide for adults who run sessions with young people based on the learning paths. And you can explore the learning paths yourself too.
Rebecca and Tracy’s team have created several new learning pathways based on the 3…2…1…Make! framework and received much positive feedback on them. They are now looking to develop more tools and libraries to support learners, to increase the accessibility of the paths, and also to conduct research into the impact of the framework.
In the second half of the seminar, Tracy shared what the research literature says about the impact of non-formal learning. She and researchers at the Foundation particularly wanted to find out what the research says about computing education for K–12 in non-formal settings. They systematically reviewed 421 papers, identifying 88 papers from the last seven years that related to empirical research on non-formal computing education for young learners. Based on these 88 papers, they summarised the state of the field in a literature review.
So far, most studies of non-formal computing education have looked at knowledge and skill development in computing, as well as affective factors such as interest and perception. The cognitive impact of non-formal education has been generally positive. The papers Tracy and the research reviewed suggested that regular learning opportunities, such as weekly Code Clubs, were beneficial for learners’ knowledge development, and that active teaching of problem solving skills can lead to learners’ independence.
Non-formal computing education also seems to be beneficial in terms of affective factors (although it is unclear yet whether the benefits remain long-term, since most existing research studies conducted have been short-term ones). For example, out-of-school programmes can lead to more positive perception and increased awareness of computing for learners, and also boost learners’ confidence and self-efficacy if they have had little prior experience of computing. The social aspects of participating in coding clubs should not be underestimated, as learners can develop a sense of belonging and support as they work with their peers and mentors.
The literature review showed that non-formal computing complements formal in-school education in many ways. Not only can Code Clubs and CoderDojos be accessible and equitable spaces for all young people, because the people who run them can tailor learning to the individuals. Coding clubs such as these succeed in making computing fun and engaging by enabling a community to form and allowing learners to make things that are meaningful to them.
Another thing the literature review made obvious is that there are big gaps in the existing understanding of non-formal computing education that need to be researched in more detail. For example, most of the studies the papers in the literature review described took place with female students in middle schools in the US.
That means the existing research tells us little about non-formal learning:
We would also love to see studies that hone in on:
We’re excited to continue collaborating within the Foundation so that our researchers and our team creating non-formal learning content can investigate the impact of the 3…2…1…Make! framework.
This collaboration connects two of our long-term strategic goals: to engage millions of young people in learning about computing and how to create with digital technologies outside of school, and to deepen our understanding of how young people learn about computing and how to create with digital technologies, and to use that knowledge to increase the impact of our work and advance the field of computing education. Based on our research, we will iterate and improve the framework, in order to enable even more young people to realise their full potential through the power of computing and digital technologies.
From January, you can join our new monthly seminar series on primary (K–5) teaching and learning. In this series, we’ll hear insights into how our youngest learners develop their computing knowledge, so whether you’re a volunteer in a coding club, a teacher, a researcher, or simply interested in the topic, we’d love to see you at one of these monthly online sessions.
The first seminar, on Tuesday 10 January at 5pm UK time, will feature researchers and educators Dr Katie Rich and Carla Strickland. They will share findings on how to teach children about variables, one of the most difficult aspects of computing for young learners. Sign up now, and we will send you notifications and joining links for each seminar session.
We look forward to seeing you soon, and to discussing with you how we can apply research results to better support all our learners.
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Over the past months, we’ve been working with two partner organisations, Team4Tech and Kenya Connect, to support computing education across the rural county of Machakos, Kenya.
In line with our 2025 strategy, we have started work to improve computing education for young people in Kenya and South Africa. We are especially eager to support communities that experience educational disadvantage. One of our projects in this area is in partnership with Team4Tech and Kenya Connect. Together we have set up the Dr Isaac Minae EdTech Hub in the community Kenya Connect supports in the rural county of Machakos, and we are training teachers so they can equip their learners with coding and physical computing skills.
“Watching teachers and students find joy and excitement in learning has been tremendous! The Raspberry Pi Foundation’s hands-on approach is helping learners make connections through seeing how technology can be used for innovation to solve problems. We are excited to be partnering with Raspberry Pi Foundation and Team4Tech in bringing technology to our rural community.”
– Sharon Runge, Executive Director, Kenya Connect
We are providing the Wamunyu community with the hardware and the skills and knowledge training they need to use digital technology to create solutions to problems they see. The training will make sure that teachers across Machakos can sustain the EdTech Hub and computing education activities independently. This is important because we want the community to be empowered to solve problems that matter to them and for all the local young people to have opportunities that are open to their peers in Nairobi, Kisumu, Mombasa, and other cities in Kenya.
In October this year, we travelled to Wamunyu to help Kenya Connect set up and launch the Dr Isaac Minae EdTech Hub, for which we provided hardware including Raspberry Pi 400 computers and physical computing kits with Raspberry Pi Pico microcontrollers, LEDs, buzzers, buttons, motors and more. We also held a teacher training session to start setting up the local educators with the skills and knowledge they need to teach coding and physical computing. In the training, educators brought a range of experiences with using computers. Some were unfamiliar with computer hardware, but at the end of the training session, they all had designed and created physical computing projects using electronic circuits and code. It was hugely inspiring to work with these teachers and see their enthusiasm and commitment to learning.
Through our two-year partnership with Kenya Connect, we aim to reach at least 1000 learners between the ages of 9 to 14 from 62 schools in Machakos county. We will work with at least 150 teachers to build their knowledge, skills, and confidence to teach coding, digital making, and robotics, and to run after-school Code Clubs. We’ll help teachers offer learning experiences based on our established learning paths to their students, and these experiences will include basic coding skills aligned to Kenya’s Competency Based Curriculum (CBC). We are putting particular focus on adapting our learning content so that teachers in Machakos can offer culturally relevant educational activities in their community.
“Our partnership with the Raspberry Pi Foundation will open up new avenues for teachers to learn coding and physical computing. This is in line with the current Competency Based Curriculum that requires students to start learning coding at an early age. Though coding is entrenched in the curriculum, teachers are ill-prepared and schools lack devices. We are so grateful to the Raspberry Pi Foundation for providing teachers and students access to devices and the Raspberry Pi learning paths.”
– Patrick Munguti, Director of Education and Technology, Kenya Connect
Next up for our work on this project is to continue supporting Kenya Connect to scale the program in the county.
In all our work in Sub-Saharan Africa, we are committed to strengthening and growing our partnerships with locally led youth and community organisations, the private sector, and the public sector, in line with our mission to open up more opportunities for young people to realise their full potential through the power of computing and digital technologies.
Our work in Sub-Saharan Africa is generously funded by the Ezrah Charitable Trust.
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Young tech creators, get ready: Coolest Projects will be back in 2023, and we want to make this the year of your big idea!
Coolest Projects is the world’s leading online technology showcase for young creators across the world, and we’ll soon be inviting young people to share their creations in the 2023 gallery when project registration opens on 6 February.
For young creators, Coolest Projects is the unique opportunity to share their big ideas with the whole world. All projects in our open online showcase receive personalised feedback from judges, and all creators get some awesome limited-edition swag too. To bring all the participants together, we’ll host a live-streamed celebration event online on 6 June 2023, where we’ll also reveal the favourite projects of our very special VIP judges.
Creators who took part in 2022 told us that the coolest thing about Coolest Projects is that “so many people around the world get to see and appreciate your projects” and that “anyone can have a go”.
Coolest Projects creators make digital tech projects that matter to them and that they want to share with the world. Creators have all different levels of skill — some register their very first coding project, and others have taken part in Coolest Projects for years. We welcome every project from every young person in Coolest Projects. With six project categories from Scratch to hardware, and project topics including environment, health, and fun, creators come up with all kinds of cool ideas.
Take a look at the online showcase gallery to see the projects young makers shared in the most recent showcase, including an app about recycling, a smiley face game, a trash-collecting boat, and a game to help you eat more healthily.
Registration opens on 6 February 2023, and creators can get started on their ideas and make their projects any time.
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We are excited to announce our next free online seminars, running monthly from January 2023 and focusing on new research about primary school (K–5) teaching and learning of computing.
Our seminars, having covered various topics in computing education over the last three years, will now offer you a close look at current questions and research in primary computing education for 5- to 11-year-olds. Through this series we want to connect research and teaching practice, and further primary computing education across the globe.
Our upcoming seminars are for everyone interested in computing education, not just for primary school teachers — you are all cordially invited to join us. Previous seminars have been attended by a valuable mix of teachers, volunteers, tech industry professionals, and researchers, all keen to explore how computing education research can be put into practice.
Whether you teach in a classroom, or support learners in a coding club, you will find out how our youngest learners develop their computing knowledge. You’ll also explore with us what this means for your learning context in practical terms.
Each seminar starts with a presenter explaining, in easy-to-understand terms, some recent research they have done. The presentation is followed by a discussion in smaller groups. We then regroup for a Q&A session with the presenter.
Attendees of our previous seminars have said:
“The seminar will be useful in my practice when our coding club starts.”
“I love this initiative, your choice of speakers has been fantastic. You are creating a very valuable CPD resource for Computer Science teachers and educators all over the world. Thank you. 🙏”
“Just wanted to say a huge thank you for organising this. It was brilliant to hear the presentation but also the input from other educators in the breakout room. I currently teach in a department of one, which can be quite lonely, so to join other educators was brilliant and a real encouragement.”
Computer science has been taught in universities for many years, and only more recently has the subject been introduced in schools. That means there isn’t a lot of research about computing education for school-aged learners yet, and even less research about how young children of primary school age learn about computing.
That’s why we are excited to invite you to learn with us as we hear from international primary computing research teams who share their knowledge in our online seminars:
All our seminars start at 17:00 UK time (18:00 CET / 12:00 noon ET / 9:00 PT) and take place in an online format. Sign up now to receive a calendar invitation and the link to join on the day of each seminar.
We look forward to seeing you soon, and to discussing with you how we can apply research results to better support all our learners.
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We are so excited to share another story from the community! Our series of community stories takes you across the world to hear from young people and educators who are engaging with creating digital technologies in their own personal ways.
In this story we introduce you to Selin, a digital maker from Istanbul, Turkey, who is passionate about robotics and AI. Watch the video to hear how Selin’s childhood pet inspired her to build tech projects that aim to help others live well.
Selin (16) started her digital making journey because she wanted to solve a problem: after her family’s beloved dog Korsan passed away, she wanted to bring him back to life. Selin thought a robotic dog could be the answer, and so she started to design her project on paper. When she found out that learning to code would mean she could actually make a robotic dog, Selin began to teach herself about coding and digital making.
Thanks to her local CoderDojo, which is part of the worldwide CoderDojo network of free, community-based, volunteer-led programming clubs where young people explore digital technology, Selin’s interest in creating tech projects grew and grew. Selin has since built seven robots, and her enthusiasm for building things with digital technology shows no sign of stopping.
One of Selin’s big motivations to explore digital making was having an event to work towards. At her Dojo, Selin found out about Coolest Projects, the global technology showcase for young people. She then set herself the task of making a robot to present at the Coolest Projects event in 2018.
When thinking about ideas for what to make for Coolest Projects, Selin remembered how it felt to lose her dog. She wondered what it must be like when a blind person’s guide dog passes away, as that person loses their friend as well as their support. So Selin decided to make a robotic guide dog called IC4U. She contacted several guide dog organisations to find out how guide dogs are trained and what they need to be able to do so she could replicate their behaviour in her robot. The robot is voice-controlled so that people with impaired sight can interact with it easily.
Selin and her parents travelled to Coolest Projects International in Dublin, thanks to support from the CoderDojo Foundation. Accompanying them was Selin’s project IC4U, which became a judges’ favourite in the Hardware category. Selin enjoyed participating in Coolest Projects so much that she started designing her project for next year’s event straight away:
“When I returned back I immediately started working for next year’s Coolest Projects.”
Selin
Many of Selin’s tech projects share a theme: to help make the world a better place. For example, another robot made by Selin is the BB4All — a school assistant robot to tackle bullying. And last year, while she attended the Stanford AI4ALL summer camp, Selin worked with a group of young people to design a tech project to increase the speed and accuracy of lung cancer diagnoses.
Through her digital making projects, Selin wants to show how people can use robotics and AI technology to support people and their well-being. In 2021, Selin’s commitment to making these projects was recognised when she was awarded the Aspiring Teen Award by Women in Tech.
Listening to Selin, it is inspiring to hear how a person can use technology to express themselves as well as create projects that have the potential to do so much good. Selin acknowledges that sometimes the first steps can be the hardest, especially for girls interested in tech: “I know it’s hard to start at first, but interests are gender-free.”
“Be curious and courageous, and never let setbacks stop you so you can actually accomplish your dream.”
Selin
We have loved seeing all the wonderful projects that Selin has made in the years since she first designed a robot dog on paper. And it’s especially cool to see that Selin has also continued to work on her robot IC4U, the original project that led her to coding, Coolest Projects, and more. Selin’s robot has developed with its maker, and we can’t wait to see what they both go on to do next.
Help us celebrate Selin and inspire other young people to discover coding and digital making as a passion, by sharing her story on Twitter, LinkedIn, and Facebook.
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A year ago we launched our Introduction to Scratch path of six new coding projects. This was the first path to use our new 3…2…1…Make! approach for prioritising fun and engagement whilst enabling creators to make the things that matter to them. Creators learn how to add code, costumes, and sounds to sprites as they make animations, a game, an app, and a book.
As the first birthday of the Introduction to Scratch path approached, we decided to review and refresh each project. We used input from the community, looked at remixes of the projects, and analysed visitor data to guide us in our review.
We would like to say a massive thank you to everyone who engaged in focus groups, provided input via social channels, or clicked the project feedback buttons. We really appreciate you taking the time to reach out and we hope you will be pleased with the changes.
The updates are split into two parts, those we made specifically to the Introduction to Scratch path, and changes made across all of the 3…2…1…Make! projects.
The first thing you might notice is the revamp of our Introduction step, now called ‘You will make’. This simplified step focuses on setting the scene and encourages creators to play with a completed project example.
Also changed is the Reflection step, replaced by ‘Quick quiz’ — a much neater page that guides creators through three questions before awarding a project badge.
Here is an overview of the Scratch path to tell you more about the projects and the changes we’ve made to the content.
Creators can start using the updated Scratch projects right away!
Our first three projects in the path introduce creators to a set of skills and provide step-by-step instructions to help them develop initial confidence.
In this project, creators design a space scene with characters that emote to share their thoughts or feelings. We received some amazing feedback from a member of the Deaf community to enhance the Nano uses sign language task and include a great new boxout to prompt discussion amongst our creators.
We also heard from a couple of club leaders that the Text to Speech extension in Scratch was a great addition to this project so we added an optional Text to Speech information card to the Upgrade your project step.
The bus in the Catch the bus project is a tour bus, but we originally used the school backdrop as a departure point. We liked how the backdrop looked but now recognise that doing a project about a school bus whilst in a club was probably not the most popular choice. Please forgive us! The project now uses a nighttime city scene.
We also removed the use of the ‘Timer hat block’ from this project — it isn’t needed for the rest of the path and has behaviour that complicates things. The ‘timer hat block’ has been replaced by a ‘wait block’.
We have loved engaging with the community submissions of this project and really enjoyed seeing how quickly we can find the small bugs on each level of the games that have been created. With replicating that enthusiasm in mind, our changes to this project focused on young creators sharing their project and playing projects created by others.
Our new Share and play step has a number of options, including sharing in a club, submitting your project to a shared studio, and experiencing remixes as a user. We have also embedded some community projects into the step to provide upgrade ideas and inspiration.
The next two projects in the path encourage creators to practise the skills they learned in the previous ‘Explore’ projects, and to express themselves creatively while they grow in independence.
The revamped Get ideas task on the first step of each Design project now has a featured community project that will be regularly updated. You may also notice that the inspirational examples have been reordered or changed using analysis from interactions with them.
Additional community submissions can be found in the Share and play steps to provide upgrade ideas and creators are encouraged to look at remixes of the starter project for even more inspiration.
Interacting with remixes of the Silly eyes project is one of our favourite things to do! The project involves creating a character whose eyes follow the mouse pointer. We love seeing how design decisions have shaped each project and how various upgrades have been used.
For this project, we decided to remove the ‘Add stage effects’ step as it was largely a repeat of the earlier ‘Add sprite effects’ step. Stage effects is now an optional upgrade which means creators can get through to the ‘Share and play’ step to look at the design decisions made by others, then use those to choose which ideas to include in their project.
This project consists of creating an animation of a story. We looked at the remixes so far and realised the main steps of the surprise animations were:
Sometimes projects had a reaction in them but others relied on creating a reaction in the user watching the animation. With this in mind we moved the Reaction step and added it as an optional upgrade. We also added graphics to each step to explain the step position in the animation timeline.
A new option to remix one of the example projects was added to this project as a starting point if creators were short of time, needed help with ideas, or had perhaps already thought of an extension to the example animations.
Our final project in the path is where creators use their skills to meet a project brief for a particular audience.
The project brief has been revamped to make it more concise with the Reflection step becoming a checklist to keep track of how the project is meeting the brief.
This project consists of creating a book with multiple pages to tell a story or share facts. The major change to this project is a reorganisation of the steps. The original planning step has now split in two — the first step to decide the high-level purpose and audience for the book and the second step to plan the book in more detail using either the starter Scratch project or our new planning sheet.
The build and test step has also been restructured to break up the skills into categories and make the tasks clearer. At the end of the step, creators are encouraged to ask for feedback then repeat the process to work on their book until it is ready to share.
We will start refreshing another path soon but in the meantime, we hope you and your creators enjoy using the revamped Introduction to Scratch path. We would love to hear your feedback on any of our projects via the feedback button on the bottom of each project page.
We look forward to seeing what your creators make.
The post Introduce young people to coding with our updated projects appeared first on Raspberry Pi.
Launched in 2013, Hour of Code is an initiative to introduce young people to computer science using fun one-hour tutorials. To date, over 100 million young people have completed an hour of code with it.
Although the Hour of Code website is accessible all year round, every December for Computer Science Education Week people worldwide run their own Hour of Code events. Each year we love seeing many Code Clubs, CoderDojos, and young people at home across the community complete their Hour of Code. You can register your 2022 Hour of Code event now to run between 5 and 11 December.
To support your event, we have pulled together a bumper set of our free coding projects, which can each be completed in just one hour. You will find these activities on the Hour of Code website.
There’s something for all ages and levels of experience, so put an hour aside and help young people make something fabulous with code:
For younger creators new to coding, a Scratch project is a great place to start.
With our Space talk project, they can create a space scene with characters that ‘emote’ to share their thoughts or feelings using sounds, colours, and actions. Creators program the character emotes using Scratch blocks to control graphic effects, costume animation, and sound effects.
Alternatively, our Stress ball project lets them code an onscreen stress ball that reacts to user clicks. Creators use the Paint and Sound editors in Scratch to personalise a clickable stress ball, and they add Scratch blocks to control graphic effects, costume animation, and sound effects.
We love this fun stress ball example sent to us recently by young creator April from the United States:
Another great option is to use Code Club World, which is a free tool to help children who are new to coding.
For 7- to 11-year-olds who are more comfortable with block-based coding, our project Broadcasting spells is ideal to choose. With the project, they connect Scratch blocks to code a wand that casts spells turning sprites into toads, and growing and shrinking them. Creators use broadcast blocks to transform multiple sprites at once, and they create sound effects with the Sound editor in Scratch.
We have three exciting projects for trying text-based coding during Hour of Code in this category. The first, Anime expressions, is one of our brand-new ‘Introduction to web development’ projects. With this project, young people create a responsive webpage with text and images for an anime drawing tutorial. They write HTML to structure the webpage and CSS styles to apply layout, colour palettes, and fonts.
For a great introduction to coding with Python, we have the project Hello world from our ‘Introduction to Python’ path. With this project, creators write Python text-based code to create an interactive program that shows text and emojis based on user input. They learn about variables as they use them to store text and numbers, and they learn about writing functions to organise code and do calculations, retrieve the current date and time, and make a customisable dice.
LED firefly is a fantastic physical making project in which young people use a Raspberry Pi Pico microcontroller and basic electronic components to create a blinking LED firefly. They program the LED’s light patterns with MicroPython code and activate it via a switch they make themselves using jumper wires.
For 11- to 14-year-olds who are already comfortable with HTML, the Flip treat webcards project is a fun option. With this, they create a webpage showing a set of cards that flip when a visitor’s mouse pointer hovers over them. Creators use CSS styling and animations to add interactivity, then they customise the cards with fancy fonts and colour gradients.
Young people who have already done some Python coding can try out our project Target practice. With this project they create a game, using the p5 graphics library to draw a colourful target, and writing code so that the player scores points by hitting the target’s rings with arrows. While they create the project, they learn about RGB colours, shape positioning with x and y coordinates, and decisions using if, else-if, and else code statements.
Our project Charting champions is a great introduction to data visualisation and analysis for coders aged 15 and older. With the project, they will discover the power of the Python programming language as they store Olympic medal data in lists and use the pygal library to create an interactive chart.
Teenage coders who feel comfortable with Python programming can use our project Solar system simulator to code an animated, interactive solar system model using the Python p5 graphics library. Their model will be interactive, as they’ll use dictionaries to store planet facts that display when a user clicks on an orbiting planet.
Now is the time to register your Hour of Code event, then decide which project you’d like to support young people to create. You can download certificates for each of the creators from the Hour of Code certificates page.
And make sure to check out our project paths so you know what projects you can help the young people you support to code beyond this one hour of code.
We don’t just create activities so that other people can experience coding and digital making — we also get involved ourselves!
Recently, our teams who support the Code Club and CoderDojo networks got together to make LED fireflies. We are excited to get coding again as part of Hour of Code and Computer Science Education Week.
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With our new free ‘Introduction to web development’ path, young people are able to learn HTML and create their own webpages on topics that matter to them. The path is made up of six projects that show children and teenagers how to structure pages using HTML, and style them using CSS.
Webpage creation has come a long way since the 1990s, but HTML is still the markup language that is used to display almost every page on the World Wide Web. By knowing how it works, you can deepen your understanding of the technology you use every day.
If you want to build your own website today, there are many tools to get you quickly up and running. These tools often involve dragging and dropping predefined elements and choosing from a wide collection of themed looks. Learning HTML and CSS skills is important for web designers, developers, and content creators who want to build unique webpage designs that make their content stand out.
With our new ‘Introduction to web development’ path, we want creators (the young people who use our projects) to be able to quickly make fantastic-looking websites that follow modern best practices, while they also learn how HTML and CSS work together to create a webpage. Creators write their own HTML to develop the content and structure of their webpages. And they customise our pre-built CSS style sheets to get their webpages to look like they imagine.
This really is a fun and unique approach to learning HTML and building a webpage, and we think young people will quickly engage with it. They start by finding out how to structure pages using HTML before applying CSS styles that bring their pages to life. Through the six projects, they build all the skills and independence they need to make webpages that matter to them.
We believe that young people should find out about website accessibility right from the start of their learning journey. That’s why the path for learning HTML shows creators how they can make their websites accessible to all their users regardless of the users’ needs or digital devices.
That’s why our new path uses semantic HTML. Older HTML tutorials might show you how to structure a webpage using tags like <div> and <span>. In contrast, the meaning and purpose of tags in semantic HTML is very clear. For example:
Lateo.net - Flux RSS en pagaille (pour en ajouter : @ moi) 
<main> is used to tag the main content for the webpage<footer> is used for content to be displayed in the footer<blockquote> contains a quote and typically the author of the quote<section> contains a portion of content that usually sits within the main part of the webpageSemantic HTML supports accessibility because it allows people who use a screen reader to more easily navigate a webpage and read it in a logical way.
Another element of accessible design that the path introduces is the colour combinations used on webpages. It is really important that contrasting colours are used for the background and the text. High contrast makes the text more readable, which means the webpage is more suitable for visually impaired users.
The path also shows creators the importance of adding meaningful alternative text for images. Good alternative text helps visually impaired users, and users who have a very low bandwidth and therefore turn images off in their web browser.
Finally, our path for learning HTML introduces creators to the concept of responsive web design. Responsive design is helpful because websites can be viewed on thousands of different devices. Some people view pages on large, high-resolution monitors, and others view them on a mobile phone screen. We show learners how they can use HTML and CSS to make their pages responsive so they display in the way that works best for the specific screen on which a user is viewing them.
We have written the projects in this path with young people of around the age from 9 to 17 in mind.
HTML and CSS are text-based markup languages. This means a young person who wants to start learning HTML needs to be familiar with typing on a keyboard. It would also be helpful to have experience of using the copy and paste function, which is useful when changing the layout of a page or copying similar pieces of code.
If a young person is unsure whether they have the right skills to get started with the path, they can first try out a short ‘Discover’ project. With this Discover project, young people can choose between the themes ‘space’, ‘sunsets’, ‘forests’, or ‘animals’ to see how they can create their first webpage in just five steps. (We’re still working on the ‘Discover’ project type, so if you have any feedback about it, let us know.)
Creators will learn how to use HTML and CSS to build webpages that have:
They will also learn about how to make their webpages accessible to all through use of:
We’ve designed the path so young people can complete it in six one-hour sessions, with one hour for each project. Since the project instructions encourage creators to upgrade their projects, they may wish to go further and spend a little more time getting their projects exactly as they imagine them.
Young people only need a standard web browser to follow the project instructions and use an online code editor to create their webpages.
There are 28 other step-by-step projects for creators to choose from on our website. They can browse through these to see what cool things they’d like to make and what new skills they want to learn.
If your kid is proud of the webpage they create with the final ‘Invent’ project in the path, they can share it with a worldwide community of young creators in our free Coolest Projects tech showcase. Project registration will open again in spring 2023. You can sign up to hear news about the showcase on the Coolest Projects homepage.
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At the Raspberry Pi Foundation, we engage young people in learning about computing and creating with digital technologies. We do this not only by developing curricula for formal education and introducing tens of thousands of children around the world to coding at home, but also through supporting non-formal learning activities such as Code Club and CoderDojo.
To find out what works in non-formal computing learning, we’ve conducted two research projects recently: a systematic literature review, and a set of two interventions that were applied and evaluated as part of our Gender Balance in Computing programme. In this blog, we outline these two research projects.
When you think of young people learning computing, do you think of schools, classrooms, and curricula? You’d be right that lots of computing education for young people takes place in classrooms as part of national curricula. However, a lot of learning can take place outside of formal schooling. When we talk about non-formal computing education, we mean structured or semi-structured learning environments such as clubs or community groups, often set up by volunteers. These may take place in a school, library, or community venue; but we’ve also heard of some of our communities running non-formal learning activities on buses, in fire stations, or at football grounds — there really is no limit to where learning can happen.
It’s harder to assess the impact and effectiveness of non-formal computing activities than formal computing education: we have to think outside of the traditional measures such as grades and formal exams or assessments. Instead, we estimate outcomes according to measures such as level of participant engagement, attendance, attrition rates, and changes in participants’ attitudes towards computing. We have previously also piloted non-formal assessments such as quizzes and found that these were well-received by adult facilitators and children alike.
Earlier this year, we conducted a systematic literature review into computing education for K–12 learners in non-formal settings. We identified 88 relevant research studies, which we read, compared, and synthesised to provide an overview of what is already known about the effectiveness of non-formal computing activities and to identify opportunities for further research.
Our analysis looked for common themes within existing studies and suggested some benefits that non-formal learning offers, including:
We presented this research at an international computing education conference called ICER 2022, and you can read about it in our open-access paper in the ICER conference proceedings.
One particularly interesting characteristic of non-formal learning is that it tends to attract a broader range of learners than formal computing lessons. For example, a 2019 survey found that about 40% of the young people who attend Code Clubs were female. This is a high percentage compared with the proportion of girls among the learners choosing Computer Science GCSE in England, which is currently around 20%. We believe this points to an opportunity to capitalise on girls’ interest in learning activities outside of the classroom, and we hope to use non-formal activities to encourage more girls to take an interest in formal computer science education.
As part of our Gender Balance in Computing research programme in England, we worked with Apps for Good and the Behavioual Insights Team (BIT) to run two interventions in school-based non-formal settings, for which we adapted non-formal resources and used behavioural science concepts to strengthen the links the resources make between non-formal learning and studying computing more formally. One intervention ran in secondary schools for learners aged 13–14 years old, who used an adapted Apps for Good course, and the other ran in primary school for learners aged 8–11 year olds, who took part in Code Clubs using adapted versions of our projects.
The interventions were evaluated independently by a separate team from BIT, based on data from surveys completed by learners before and after the interventions, and interviews with teachers and learners. This data was analysed by the independent team to explore the impact the interventions had on learners’ attitudes towards computing and intention to study the subject in the future.
Our literature review concluded that future research in this area would benefit from experimenting with a variety of approaches to designing, and measuring the impact of, computing activities in a non-formal setting. For example, this could include comparing the short-term and long-term impact of specific interventions, aiming to cater for different types of participants, and offering different types of learning experiences.
In these two Gender Balance in Computing interventions, there was limited statistical evidence of an improvement in participants’ attitude towards computing or in their stated intention to study computer programming in the future. The independent evaluators recommended that the learning content that was created for the interventions could be adapted further to make the link between non-formal and formal learning even more salient. On the other hand, as is often the case with research, some interesting themes — ones that we weren’t looking for — emerged from the data, including:
In both projects, the findings suggest that it is beneficial for learners to participate in non-formal learning activities that link to real-world situations, and that this could be particularly beneficial for girls to help them see computing as a subject that is relevant to their own interests and goals. Another common theme in both projects is that non-formal learning activities play an important role in showing what a “computer person” looks like and who belongs in computing. This suggests there’s a need for a diverse range of volunteers to run non-formal computing activities, and that we should make sure that non-formal learning resources include representations of a diverse range of learners.
Undertaking these research projects has provided evidence that the work the Foundation does is on the right track and suggested opportunities to use these themes in our future non-formal work and resources.
More information about research projects at the Raspberry Pi Foundation and our newly launched Raspberry Pi Computing Education Research Centre can be found on our research pages and on the Research Centre’s website.
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In the penultimate seminar in our series on cross-disciplinary computing, we were delighted to host Conrad Wolfram (European co-founder/CEO of Wolfram Research).
Conrad has been an influential figure in the areas of AI, data science, and computation for over 30 years. The company he co-founded, Wolfram Research, develops computational technologies including the Wolfram programming language, which is used by the Mathematica and WolframAlpha programs. In the seminar, Conrad spoke about his work on developing a mathematics curriculum “for the AI age”.
In his talk, Conrad began by talking about the ubiquity of computation. He explained how computation (i.e. an operation that follows conditions to give a defined output) has transformed our everyday lives and led to the development of entire new sub-disciplines, such as computational medicine, computational marketing, and even computational agriculture. He then used the WolframAlpha tool to give several practical examples of applying high-level computation to problem-solving in different areas.
Conrad then turned his attention to the main question of his talk: if computation has also changed real-world mathematics, how should school-based mathematics teaching respond? He suggested that, as computation has impacted all aspects of our daily lives, school subjects should be reformed to better prepare students for the careers of the future.
His biggest criticism was the use of hand calculation methods in mathematics teaching. He proposed that a mathematics curriculum that “assumes computers exist” and uses computers (rather than humans) to compute answers would better support students to develop a deep understanding of mathematical concepts and principles. In other words, if students spent less time doing hand-calculation methods, they could devote more time to more complex problems.
One interesting aspect of Conrad’s talk was how he modelled the process of solving problems using computation. In all of the example problems, he outlined that computational problem-solving follows the same four-step process:
Depending on the problem, the process can be repeated multiple times until the desired solution is reached. Rather than being proposed as a static list of outcomes, the process was presented by Conrad as an iterative cycle than resembles an “ascending helix”:
In the later stages of his talk, Conrad talked about the development of a new computational curriculum to better define what a modern mathematics curriculum might look like. The platform that hosts the curriculum, named Computer-Based Math (or CBM), outlines the need to integrate computational thinking into mathematics in schools. For instance, one of the modules, How Fast Could I Cycle Stage 7 Of The An Post Rás?, asks students to develop a computational solution to a real-world problem. Following the four-step problem-solving process, students apply mathematical models, computational tools, and real-world data to generate a valid solution:
Some future challenges he remarked on included how a computer-based mathematics curriculum could be integrated with existing curricula or qualifications, at what ages computational mathematics should be taught, and what assessment, training, and hardware would be needed to support teachers to deliver such a curriculum.
Conrad concluded the talk by arguing that the current need for computational literacy is similar to the need for mass literacy and pondering whether the UK could lead the push towards a new computational curriculum suitable for learners who grow up with AI technologies. This point provided food for thought during our discussion section, especially for teachers interested in embedding computation into their lessons, and for researchers thinking about the impact of AI in different fields. We’re grateful to Conrad for speaking about his work and mission — long may it continue!
You can catch up on Conrad’s talk with his slides and the talk’s recording:
Conrad’s book, The Math(s) Fix: An Education Blueprint for the AI Age, gives more details on how he thinks data science, AI, and computation could be embedded into the modern maths curriculum.
You can also explore Wolfram Research’s Computer-Based Maths curriculum, which offers learning materials to help teachers embed computation in their maths lessons.
Finally, try out Wolfram’s tools to solve everyday problems using computation. For example, you might ask WolframAlpha data-rich questions, which the tool converts from text input into a computable problem using natural language processing. (Two of my favourite example questions are: “How old was Leonardo when the Mona Lisa was painted?” and “What was the weather like when I was born?”)
In the final seminar of our series on cross-curricular computing, we welcome Dr Tracy Gardner and Rebecca Franks (Raspberry Pi Foundation) to present their ongoing work on computing education in non-formal settings. Sign up now to join us for this session on Tues 8 November:
We will shortly be announcing the theme of a brand-new series of research seminars starting in January 2023. The seminars will take place online on the first Tuesday of the month at 17:00–18:30 UK time.
The post Building a maths curriculum for a world shaped by computing appeared first on Raspberry Pi.
Since joining the Raspberry Pi Foundation as a Code Club Community Manager for Scotland earlier this year, I have seen first-hand the passion, dedication, and commitment of the Scottish community to support the digital, personal, and social skills of young people.
Code Club launched in schools in 2012 to give opportunities to children to share and develop their love of coding through free after-school clubs. Now we have clubs across the world connecting learners in having fun with digital technologies.
One of my first visits was to St. Mark’s Primary School in East Renfrewshire, where I met an amazing Code Club leader called Ashley Guy. Ashley only got involved in Code Club this year, but has already launched three clubs at her school!
I went to visit her Primary 2 and 3’s club, where the children were working on creating animations in Scratch to celebrate Code Club’s tenth birthday. It was a real joy to see the young children so engaged with our projects. The young coders worked both independently and together to create their own animations.
One of the girls I spoke to made a small error while coding her project, but she smiled and said, “I made a mistake, but that’s okay because that’s how we learn!” She showed just the kind of positive, problem-solving mindset that Code Club helps to cultivate.
Another school doing something incredible at their Code Club, led by Primary 7 teacher Fiona Lindsay, is Hillside School in Aberdeenshire. I love seeing the fun things they get up to, including celebrating Code Club’s 10th birthday in style with an impressive Code Club cake.
Fiona and her club are using the Code Club projects and resources to create their own exciting and challenging games. They’ve taken part in several of our online codealongs, and they also held an event at the school to showcase their great work — which even got the children’s parents coding!
Some of the young people who attend Code Club at Hillside School sent us videos about their experiences, why they come to Code Club, and what it means to them. Young coder Abisola describes Code Club in one word:
Young coder Crystal said, “We can experiment with what we know and make actual projects… At Code Club we learn about new blocks in Scratch and what blocks and patterns go together to make something.” Here is Crystal sharing her favourite part of Code Club:
Obuma also attends the Code Club at Hillside School. She shared what she gains from attending the sessions and why she thinks other young people should join a Code Club too:
“At Code Club we improve our teamwork skills, because there’s a lot of people in Code Club and most of the time you work together to create different things… Join [Code Club] 100%. It is so fun. It might not be something everyone would want to try, but if you did try it, then you would enjoy it.”
Obuma, young coder at Hillside School’s Code Club
One of the things I’ve enjoyed most as part of the Code Club team has been running an UK-wide online codealong to celebrate STEM Clubs Week. The theme was outer space, so our ‘Lost in space’ project in Scratch was the ideal fit.
During this practical coding session, classes across Scotland, England, and Wales had great fun coding the project together to animate rockets that move around space. We were thrilled by the feedback from teachers.
“The children really enjoyed the session. They are very proud of their animations and some children went on to extend their programs. All [the] children said they would love to do more codealongs!”
Teacher who took part in an online Code Club codealong
Thank you to everyone who got involved in the codealong. See you again at the next one.
To help you start your Code Club year with ease and fun, we will be launching new free resources for you and your club members. There’ll be a special pack filled with step-by-step instructions and engaging activities to kickstart your first session back, and a fun sticker chart to help young coders mark their progress.
We would love to see you at our practical and interactive online workshop ‘Ten reasons why coding is fun for everyone’ on Thursday 15 September at 16:00–17:00 BST, which will get you ready for National Coding Week (19–23 September). Come along to the workshop to get useful guidance and tips on how to engage everyone with coding.
We will also be holding lots of other exciting activities and sessions throughout the upcoming school term, including for World Space Week (4–10 October), the Moonhack coding challenge in October, and World Hello Day in November. So keep an eye on our Twitter @CodeClubUK for live updates.
Whether you’re interested in learning more about Code Club in Scotland, you have a specific question, or you just want to say hi, I’d love to hear from you. You can contact me at scotland@codeclub.org, or @CodeClubSco on Twitter. I’ll also be attending the Scottish Education Expo on 21 and 22 September along with other Code Club team members, so come along and say hello.
With the new school term approaching, now is a great time to register and start a Code Club at your school. You can find out more on our website, codeclub.org, or contact us directly at support@codeclub.org
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In Hello World issue 18, available as a free PDF download, teacher Michael Jones shares how to use Teachable Machine with learners aged 13–14 in your classroom to investigate issues of accuracy and ethics in machine learning models.
The landscape for working with machine learning/AI/deep learning has grown considerably over the last couple of years. Students are now able to develop their understanding from the hard-coded end via resources such as Machine Learning for Kids, get their hands dirty using relatively inexpensive hardware such as the Nvidia Jetson Nano, and build a classification machine using the Google-driven Teachable Machine resources. I have used all three of the above with my students, and this article focuses on Teachable Machine.
For this module, I’m more concerned with the fuzzy end of AI, including how credible AI decisions are, and the elephant-in-the-room aspect of bias and potential for harm.
Michael Jones
For the worried, there is absolutely no coding involved in this resource; the ‘machine’ behind the portal does the hard work for you. For my Year 9 classes (students aged 13 to 14) undertaking a short, three-week module, this was ideal. The coding is important, but was not my focus. For this module, I’m more concerned with the fuzzy end of AI, including how credible AI decisions are, and the elephant-in-the-room aspect of bias and potential for harm.
There are three possible routes to use in Teachable Machine, and my focus is the ‘Image Project’, and within this, the ‘Standard image model’. From there, you are presented with a basic training scenario template — see Hello World issue 16 (pages 84–86) for a step-by-step set-up and training guide. For this part of the project, my students trained the machine to recognise different breeds of dog, with border collie, labrador, saluki, and so on as classes. Any AI system devoted to recognition requires a substantial set of training data. Fortunately, there are a number of freely available data sets online (for example, download a folder of dog photos separated by breed by accessing helloworld.cc/dogdata). Be warned, these can be large, consisting of thousands of images. If you have more time, you may want to set students off to collect data to upload using a camera (just be aware that this can present safeguarding considerations). This is a key learning point with your students and an opportunity to discuss the time it takes to gather such data, and variations in the data (for example, images of dogs from the front, side, or top).
Once you have downloaded your folders, upload the images to your Teachable Machine project. It is unlikely that you will be able to upload a whole subfolder at once — my students have found that the optimum number of images seems to be twelve. Remember to build this time for downloading and uploading into your lesson plan. This is a good opportunity to discuss the need for balance in the training data. Ask questions such as, “How likely would the model be to identify a saluki if the training set contained 10 salukis and 30 of the other dogs?” This is a left-field way of dropping the idea of bias into the exploration of AI — more on that later!
If you have got this far, the heavy lifting is complete and Google’s training engine will now do the work for you. Once you have set your model on its training, leave the system to complete its work — it takes seconds, even on large sets of data. Once it’s done, you should be ready to test you model. If all has gone well and a webcam is attached to your computer, the Output window will give a prediction of what is being viewed. Again, the article in Hello World issue 16 takes you through the exact steps of this process. Make sure you have several images ready to test. See Figure 1a for the response to an image of a saluki presented to the model. As you might expect, it is showing as a 100 percent prediction.
It will spark an interesting discussion if you now try the same operation with an image with items other than the one you’re testing in it. For example see Figure 1b, in which two people are in the image along with the Samoyed dog. The model is undecided, as the people are affecting the outcome. This raises the question of accuracy. Which features are being used to identify the dogs as border collie and saluki? Why are the humans in the image throwing the model off the scent?
Getting closer to home, training a model on human faces provides an opportunity to explore AI accuracy through the question of what might differentiate a female from a male face. You can find a model at helloworld.cc/maleorfemale that contains 5418 images almost evenly spread across male and female faces (see Figure 2). Note that this model will take a little longer to train.
Once trained, try the model out. Props really help — a top hat, wig, and beard give the model a testing time (pun intended). In this test (see Figure 3), I presented myself to the model face-on and, unsurprisingly, I came out as 100 percent male. However, adding a judge’s wig forces the model into a rethink, and a beard produces a variety of results, but leaves the model unsure. It might be reasonable to assume that our model uses hair length as a strong feature. Adding a top hat to the ensemble brings the model back to a 100 percent prediction that the image is of a male.
Machine learning uses a best-fit principle. The outputs, in this case whether I am male or female, have a greater certainty of male (65 percent) versus a lesser certainty of female (35 percent) if I wear a beard (Figure 3, second image from the right). Remove the beard and the likelihood of me being female increases by 2 percent (Figure 3, second image from the left).
Within a fairly small set of parameters, most human faces are similar. However, when you start digging, the research points to there being bias in AI (whether this is conscious or unconscious is a debate for another day!). You can exemplify this by firstly creating classes with labels such as ‘young smart’, ‘old smart’, ‘young not smart’, and ‘old not smart’. Select images that you think would fit the classes, and train them in Teachable Machine. You can then test the model by asking your students to find images they think fit each category. Run them against the model and ask students to debate whether the AI is acting fairly, and if not, why they think that is. Who is training these models? What images are they receiving? Similarly, you could create classes of images of known past criminals and heroes. Train the model before putting yourself in front of it. How far up the percentage scale are you towards being a criminal? It soon becomes frighteningly worrying that unless you are white and seemingly middle class, AI may prove problematic to you, from decisions on financial products such as mortgages through to mistaken arrest and identification.
It soon becomes frighteningly worrying that unless you are white and seemingly middle class, AI may prove problematic to you, from decisions on financial products such as mortgages through to mistaken arrest and identification.
Michael Jones
Encourage your students to discuss how they could influence this issue of race, class, and gender bias — for example, what rules would they use for identifying suitable images for a data set? There are some interesting articles on this issue that you can share with your students at helloworld.cc/aibias1 and helloworld.cc/aibias2.
In the classroom, you could then follow the route of building models that identify letters for words, for example. One of my students built a model that could identify a range of spoons and forks. You may notice that Teachable Machine can also be run on Arduino boards, which adds an extra dimension. Why not get your students to create their own AI assistant that responds to commands? The possibilities are there to be explored. If you’re using webcams to collect photos yourself, why not create a system that will identify students? If you are lucky enough to have a set of identical twins in your class, that adds just a little more flavour! Teachable Machine offers a hands-on way to demonstrate the issues of AI accuracy and bias, and gives students a healthy opportunity for debate.
Michael Jones is director of Computer Science at Northfleet Technology College in the UK. He is a Specialist Leader of Education and a CS Champion for the National Centre for Computing Education.
At the Foundation, AI education is one of our focus areas. Here is how we are supporting you and your learners in this area already:
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This post has been adapted from an article in issue 19 of Hello World magazine, which explores the interaction between technology and sustainability.
We may have had the Coolest Projects livestream, but we are still in awe of the 2092 projects that young people sent in for this year’s online technology showcase! To continue the Coolest Projects Global 2022 celebrations, we’re shining a light on some of the participants and the topics that inspired their projects.
In this year’s showcase, the themes of sustainability and the environment were extremely popular. We received over 300 projects related to the environment from young people all over the world. Games, apps, websites, hardware — we’ve seen so many creative projects that demonstrate how important the environment is to young people.
Here are some of these projects and a glimpse into how kids and teens across the world are using technology to look after their environment.
Has anyone ever told you that a small change can lead to a big impact? Check out these two Coolest Projects entries that put this idea into practice with clever inventions to make positive changes to the environment.
Arik (15) from the UK wanted to make something to reduce the waste he noticed at home. Whenever lots of people visited Arik’s house, getting the right drink for everyone was a challenge and often resulted in wasted, spilled drinks. This problem was the inspiration behind Arik’s ‘Liquid Dispenser’ project, which can hold two litres of any desired liquid and has an outer body made from reused cardboard. As Arik says, “You don’t need a plastic bottle, you just need a cup!”
Amrit (13), Kingston (12), and Henry (12) from Canada were also inspired to make a project to reduce waste. ‘Eco Light’ is a light that automatically turns off when someone leaves their house to avoid wasted electricity. For the project, the team used a micro:bit to detect the signal strength and decide whether the LED should be on (if someone is in the house) or off (if the house is empty).
“We wanted to create something that hopefully would create a meaningful impact on the world.”
Amrit, Kingston, and Henry
We love to see young people invent things to have positive changes in the community, on a local and global level.
This year, Sashrika (11) from the US shared her ‘Gas Leak Detector’ project, which she designed to help people who heat their homes with diesel. On the east coast of America, many people store their gas tanks in the basement. This means they may not realise if the gas is leaking. To solve this problem, Sashrika has combined programming with physical computing to make a device that can detect if there is a gas leak and send a notification to your phone.
Sashrika’s project has the power to help lots of people and she has even thought about how she would make more changes to her project in the name of sustainability:
“I would probably add a solar panel because there are lots of houses that have outdoor oil tanks. Solar panel[s] will reduce electricity consumption and reduce CO2 emission[s].”
Sashrika
Amr in Syria was also thinking about renewable energy sources when he created his own ‘Smart Wind Turbine’.
The ‘Smart Wind Turbine’ is connected to a micro:bit to measure the electricity generated by a fan. Amr conducted tests that recorded that more electricity was generated when the turbine faced in the direction of the wind. So Amr made a wind vane to determine the wind’s direction and added another micro:bit to communicate the results to the turbine.
We’ve also seen projects created by young people to make the world a better place for future generations.
Naira and Rhythm from India have designed houses that are suited for people and the planet. They carried out a survey and from their results they created the ‘Net Zero Home’. Naira and Rhythm’s project offers an idea for homes that are comfortable for people of all abilities and ages, while also being sustainable.
“Our future cities will require a lot of homes, this means we will require a lot of materials, energy, water and we will also produce a lot of waste. So we have designed this net zero home as a solution.”
Naira and Rhythm
Andrea (9) and Yuliana (10) from the US have also made something to benefit future generations. The ‘Bee Counter’ project uses sensors and a micro:bit to record bees’ activity around a hive. Through monitoring the bees, the team hope they can see (and then fix) any problems with the hive. Andrea and Yuliana want to maintain the bees’ home to help them continue to have a positive influence on our environment.
Some young creators use Coolest Projects as an opportunity to educate and inspire people to make environmental changes in their own lives.
Sabrina (13) from the UK created her own website, ‘A Guide to Climate Change’. It includes images, text, graphics of the Earth’s temperature change, and suggestions for people to minimise their waste. Sabrina also received the Broadcom Coding with Commitment award for using her skills to provide vital information about the effects of climate change.
Kushal (12) from India wanted to use tech to encourage people to help save the environment. Kushal had no experience of app development before making his ‘Green Steps’ app. He says, “I have created a mobile app to connect like-minded people who want to do something about [the] environment.”
These projects are just some of the incredible ideas we’ve seen young people enter for Coolest Projects this year. It’s clear from the projects submitted that the context of the environment and protecting our planet resonates with so many students, summarised by Sabrina, “Some of us don’t understand how important the earth is to us. And I hope we don’t have to wait until it is gone to realise.”
Check out the Coolest Projects showcase for even more projects about the environment, alongside other topics that have inspired young creators.
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We and our collaborators at ESA Education are excited to announce that 17,168 programs written by young people from 26 countries have been successfully deployed on board the International Space Station (ISS) for the European Astro Pi Challenge 2021/22. And we can finally reveal the names of the two new and upgraded Astro Pi computers that Astro Pi participants have chosen.
A record number of 28,126 young people took part across both missions in the Astro Pi Challenge 2021/22. In addition to the 299 Mission Space Lab teams who achieved flight status with the code they wrote for their scientific experiments this year, young people wrote 16,869 Mission Zero programs that were run on the new Astro Pi computers. This is an amazing 84% increase compared to Mission Zero last year.
Mission Zero is perfect for beginner coders: participants follow our step-by-step instructions and write a simple program for the Astro Pis. The program takes a humidity reading on board the ISS and displays it for the astronauts. Participants can also include code to display their own unique message on the Astro Pi LED displays. Mission Zero teams are very inventive, and the young people made great use of the Astro Pis’ LED display to create pixel art:
Every Mission Zero participant receives a unique certificate showing exactly where the ISS was on its orbital path when their program was run:
This year, the deployment of all the Mission Zero and Mission Space Lab programs was overseen by ESA astronaut Matthias Maurer. But before he could do that, he first had an extra special task: unpacking and assembling the brand-new Astro Pi units in microgravity.
The two original Astro Pis, named Ed and Izzy, travelled to the ISS back in 2015 as part of Tim Peake’s Principia mission. Since then, these two special Raspberry Pi computers have run programs written by more than 54,000 young people. They have done an amazing job and will return to Earth later in 2022.
This year’s European Astro Pi Challenge is the first to use the two all-new Astro Pi computers, which we sent up to the ISS in December 2021. They are packed with special features, widening young people’s possibilities for new Mission Space Lab experiments. Running this year’s 17,168 programs was the new Astro Pis’ first task.
All young people taking part in Mission Zero this year had the once-in-a-lifetime opportunity: they got to suggest and vote for the names of the two new Astro Pi computers. We received nearly 7,000 name suggestions.
ESA astronaut Matthias Maurer has recorded a special message for all Astro Pi participants, revealing that the new Astro Pi computers will be named in honour of two inspirational European scientists drum roll… Nikola Tesla and Marie Curie!
The Astro Pi unit equipped with a Raspberry Pi High Quality Camera that is sensitive to near-infrared light is now called Nikola Tesla, and the Astro Pi unit with a visible-light sensitive High Quality Camera is now called Marie Curie.
Marie Curie, whose full name is Marie Salomea Skłodowska–Curie, was born in Poland in 1867 and the first person ever to win two Nobel Prizes, in Physics and Chemistry, for her contribution to pioneering work on radioactivity and the treatment of cancer. Nikola Tesla was born in Croatia in 1856, and his innovations in electrical engineering included alternating current — vital for transmitting electricity over long distances — and the induction motor.
Marie Skłodowska–Curie and Nikola Tesla’s work continues to impact all of our lives today, and we are delighted that this year’s Astro Pi participants have democratically chosen their names for the new Astro Pi computers.
The European Astro Pi Challenge will be back again in September 2022. Subscribe to the Astro Pi newsletter on the Astro Pi website to be the first to hear when the 2022/23 missions have lift off!
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Congratulations to the thousands of creators from 46 countries who participated in Coolest Projects Global 2022. Their projects awed and inspired us. Yesterday STEM advocate and television host Fig O’Reilly helped us celebrate each and every one of these creators in our online event. Check out the gallery to see all the amazing projects.
During the celebration, Fig also revealed which projects were picked by the special judges as their favourites from among the 2092 projects in this year’s showcase gallery. Let’s meet the special judges and check out their picks!
Ruth Amos is an inventor, entrepreneur, and EduTuber. She co-founded the #GirlsWithDrills movement and ‘Kids Invent Stuff’, a YouTube channel where 5- to 11-year-olds see their invention ideas become reality with the help of engineers.
Here are Ruth’s favourites:
Shawn Brown is an award-winning engineer, designer, and YouTuber. He’s also a practical pioneer for neurodiversity and innovation — raising awareness of learning differences and promoting science, engineering, and invention to young people. Together with Ruth, Shawn co-runs the YouTube channel ‘Kids Invent Stuff.’
Here are Shawn’s favourites:
Richa Shrivastava is the Director of Maker’s Asylum. It is India’s first community makerspace that fosters innovation through purpose-based learning, based on the United Nations Sustainable Development Goals.
Here are Richa’s favourites:
Elaine Atherton is Director of Scratch Education Collaborative. Elaine was first introduced to Scratch as an instructional coach while working with teachers in North Carolina. “It was amazing to see the kids so excited about what they were creating. I wanted to help them transfer that same energy to designing, making, and sharing other things, too — I wanted them to stretch their creativity.”
Here are Elaine’s favourites:
Broadcom Foundation has partnered with us for Coolest Projects Global to encourage young people who are solving problems that impact their communities. Their projects could relate to health, sanitation, energy, climate change, or other challenges set out in the United Nations Sustainable Development Goals. Broadcom Coding with Commitment illuminates how coding is a language, skill set, and invaluable tool for college and careers.
The Broadcom Coding with Commitment recognition goes to A Guide to Climate Change, a website created by Sabrina in the United Kingdom. Sabrina’s site not only provides vital information about the effects of climate change, but also gives users a visual to show how important it is to lower our carbon footprint. Congratulations to Sabrina for using her coding skills to give people a guide to understanding climate change in an easily digestible and stylish project webpage.
You can explore all the young tech creators’ projects — games, hardware builds, Scratch projects, mobile apps, websites, and more — in our showcase gallery now.
All creators who are taking part this year can now log into their Coolest Projects accounts to:
The support of our Coolest Projects Global sponsors has enabled us to make this year’s online showcase the inspiring experience it is for the young people taking part. We want to say a big thank you to all of them!
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Last summer, the Raspberry Pi Foundation and the University of Cambridge Department of Computer Science and Technology created a new research centre focusing on computing education research for young people in both formal and non-formal education. The Raspberry Pi Computing Education Research Centre is an exciting venture through which we aim to deliver a step-change for the field.
Computing education research that focuses specifically on young people is relatively new, particularly in contrast to established research disciplines such as those focused on mathematics or science education. However, computing is now a mandatory part of the curriculum in several countries, and being taken up in education globally, so we need to rigorously investigate the learning and teaching of this subject, and do so in conjunction with schools and teachers.
To celebrate the official launch of the Raspberry Pi Computing Education Research Centre, we will be holding an in-person event in Cambridge, UK on Weds 20 July from 15.00. This event is free and open to all: if you are interested in computing education research, we invite you to register for a ticket to attend. By coming together in person, we want to help strengthen a collaborative community of researchers, teachers, and other education practitioners.
The launch event is your opportunity to meet and mingle with members of the Centre’s research team and listen to a series of short talks. We are delighted that Prof. Mark Guzdial (University of Michigan), who many readers will be familiar with, will be travelling from the US to join us in cutting the ribbon. Mark has worked in computer science education for decades and won many awards for his research, so I can’t think of anybody better to be our guest speaker. Our other speakers are Prof. Alastair Beresford from the Department of Computer Science and Technology, and Carrie Anne Philbin MBE, our Director of Educator Support at the Foundation.
The event will take place at the Department of Computer Science and Technology in Cambridge. It will start at 15.00 with a reception where you’ll have the chance to talk to researchers and see the work we’ve been doing. We will then hear from our speakers, before wrapping up at 17.30. You can find more details about the event location on the ticket registration page.
The aim of the Raspberry Pi Computing Education Research Centre is to increase our understanding of teaching and learning computing, computer science, and associated subjects, with a particular focus on young people who are from backgrounds that are traditionally under-represented in the field of computing or who experience educational disadvantage.
We have been establishing the Centre over the last nine months. In October, I was appointed Director, and in December, we were awarded funding by Google for a one-year research project on culturally relevant computing teaching, following on from a project at the Raspberry Pi Foundation. The Centre’s research team is uniquely positioned, straddling both the University and the Foundation. Our two organisations complement each other very well: the University is one of the highest-ranking universities in the world and renowned for its leading-edge academic research, and the Raspberry Pi Foundation works with schools, educators, and learners globally to pursue its mission to put the power of computing into the hands of young people.
In our research at the Centre, we will make sure that:
We are excited to work with a large community of teachers and researchers, and we look forward to meeting you at the launch event.
At the end of June, we’ll be launching a new website for the Centre at computingeducationresearch.org. This will be the place for you to find out more about our projects and events, and to sign up to our newsletter. For announcements on social media, follow the Raspberry Pi Foundation on Twitter or Linkedin.
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All young people deserve meaningful opportunities to learn how to create with digital technologies. But according to UNESCO, as much as 40% of people around the world don’t have access to education in a language they speak or understand. At the Raspberry Pi Foundation, we offer more than 200 free online projects that people all over the world use to learn about computing, coding, and creating things with digital technologies. To make these projects more accessible, we’ve published over 1700 translated versions so far, in 32 different languages. You can check out these translated resources by visiting projects.raspberrypi.org and choosing your language from the drop-down menu.
Most of this translation work was completed by an amazing community of volunteer translators. In 2021 alone, learners engaged in more than 570,000 learning experiences in languages other than English using our projects.
So how do we know it’s important to put in the effort to make our projects available in many different languages? Various studies show that learning in one’s first language leads to better educational and social outcomes.
Education policy specialists Chloe O’Gara and Nancy Kendall describe in a USAID-funded guide document (1996, p. 100) that girls living in multilingual communities are less likely to know the official language of school instruction than boys, because girls’ lives tend to be more restricted to home and family, where they have fewer opportunities to become proficient in a second language. These restrictions limit their access to education, and if they go to school, they are more likely to have a limited understanding of the dominant language, and therefore learn less. Observations in research studies (Hovens, 2002; Benson 2002a, 2002b) suggest that making education available in a local language greatly increases female students’ opportunities for educational access and attainment.
Research studies conducted in Guinea and Senegal (Clemons & Yerende, 2009) suggest that education in a local language, which is more likely to focus on the learner’s circumstances, community, and learning and development needs, increases the learner’s belief in their abilities and skills, compared to education in a dominant language.
Learning in a language other than one’s own has a negative effect on learning outcomes, especially for learners living in poverty. For example, a UNESCO-funded case study in Honduras showed that 94% of pupils learned reading skills if their home language was the same as the language of assessment. In contrast, among pupils who spoke a different language at home, this proportion dropped to 62%. Similarly, a UNESCO-funded case study in Guatemala showed that when students were able to learn in a bilingual environment, attendance and promotion rates increased, while rates of repetition and dropout rates decreased. Moreover, students attained higher scores in all subjects and skills, including the mastery of the dominant language (UNESCO Global Education Monitoring Report, Policy Paper 24, February 2016).
A survey conducted by a researcher from the University of California San Diego showed that non-native English speakers found it challenging to learn programming languages when the majority of instructional materials and technical communications were only available in English (Guo, 2018). Moreover, a computing education research study of the association between local language use and the rate at which young people learn to program showed that beginners who learned to program in a programming language with keywords and environment localised into their primary language demonstrated new programming concepts at a faster rate, compared with beginners from the same language group who learned using a programming interface in English (Dasgupta & Hill, 2017).
It is clear from these studies that in order to achieve the most impact and to benefit disadvantaged and underserved communities, educational initiatives must work to make learning resources available in the language that learners are most familiar with.
By translating our learning resources, we not only support people who have English as a second language, we also make the resources useful for people who don’t speak any English — estimated as four out of every five people on Earth.
If you’re interested in helping us translate our learning resources, which are completely free, you can find out more at rpf.io/translate.
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From May to November 2022, our seminars focus on the theme of cross-disciplinary computing. Through this seminar series, we want to explore the intersections and interactions of computing with all aspects of learning and life, and think about how they can help us teach young people. We were delighted to welcome Prof. Mark Guzdial (University of Michigan) as our first speaker.
Mark has worked in computer science (CS) education for decades and won many awards for his research, including the prestigious ACM SIGCSE Outstanding Contribution to Computing Education award in 2019. He has written literally hundreds of papers about CS education, and he authors an extremely popular computing education research blog that keeps us all up to date with what is going on in the field.
In his talk, Mark focused on his recent work around developing task-specific programming (TSP) languages, with which teachers can add a teaspoon (also abbreviated TSP) of programming to a wide variety of subject areas in schools. Mark’s overarching thesis is that if we want everyone to have some exposure to CS, then we need to integrate it into a range of subjects across the school curriculum. And he explained that this idea of “adding a teaspoon” embraces some core principles; for TSP languages to be successful, they need to:
Mark neatly summarised this as ‘being both usable and useful’.
We can learn a lot from going back in time and reflecting on the history of computing. Mark started his talk by sharing the views of some of the eminent computer scientists of the early days of the subject. C. P. Snow maintained, way back in 1961, that all students should study CS, because it was too important to be left to a small handful of people.
Alan Perlis, also in 1961, argued that everyone at university should study one course in CS rather than a topic such as calculus. His reason was that CS is about process, and thus gives students tools that they can use to change the world around them. I’d never heard of this work from the 1960s before, and it suggests incredible foresight. Perhaps we don’t need to even have the debate of whether computer science is for everyone — it seems it always was!
In many of our seminars over the last two years, we have heard about the need to broaden participation in computing in school. Although in England, computing is mandatory for ages 5 to 16 (in theory, in practice it’s offered to all children from age 5 to 14), other countries don’t have any computing for younger children. And once computing becomes optional, numbers drop, wherever you are.
Mark shared with us that in US high schools, only 4.7% of students are enrolled in a CS course. However, students are studying other subjects, which brought him to the conclusion that CS should be introduced where the students already are. For example, Mark described that, at the Advanced Placement (AP) level in the US, many more students choose to take history than CS (399,000 vs 114,000) and the History AP cohort has more even gender balance, and a higher proportion of Black and Hispanic students.
A solution to low uptake of CS being proposed by Mark and his colleagues is to add a little computing to other subjects, and in his talk he gave us some examples from history and mathematics, both subjects taken by a high proportion of US students. His focus is on high school, meaning learners aged 14 and upwards (upper secondary in Europe, or key stage 4 and 5 in England). To introduce a teaspoon of CS to other subjects, Mark’s research group builds tools using a participatory design approach; his group collaborates with teachers in schools to identify the needs of the teachers and students and design and iterate TSP languages in conjunction with them.
Mark demonstrated a number of TSP language prototypes his group has been building for use in particular contexts. The prototypes seem like simple apps, but can be classified as languages because they specify a process for a computational agent to execute. These small languages are designed to be used at a specific point in the lesson and should be learnable in ten minutes. For example, students can use a small ‘app’ specific to their topic, look at a script that generates a visualisation, and change some variables to find out how they impact the output. Students may also be able to access some program code, edit it, and see the impact of their edits. In this way, they discover through practical examples the way computer programs work, and how they can use CS principles to help build an understanding of the subject area they are currently studying. If the language is never used again, the learning cost was low enough that it was worth the value of adding computation to the one lesson.
You can try out the TSP language prototypes Mark shared yourself, which will give you a good idea of how much a teaspoon is!
DV4L: For history students, the team and participating teachers have created a prototype called DV4L, which visualises historical data. The default example script shows population growth in Africa. Students can change some of the variables in the script to explore data related to other countries and other historical periods. A example lesson activity illustrates how a teacher might incorporate this TSP language into a lesson.
Pixel Equations: Mathematics and engineering students can use the Pixel Equations tool to learn about the way that pictures are made up of individual pixels. This can be introduced into lessons using a variety of contexts. One example lesson activity looks at images in the contexts of maps. This prototype is available in English and Spanish.
Counting Sheets: Another example given by Mark was Counting Sheets, an interactive tool to support the exploration of counting problems, such as how many possible patterns can come from flipping three coins.
Have a go yourself. What subjects could you imagine adding a teaspoon of computing to?
We’d love you to join us for the next seminar in our series on cross-disciplinary computing. On 7 June, we will hear from Pratim Sengupta, of the University of Calgary, Canada. He has conducted studies in science classrooms and non-formal learning environments, focusing on providing open and engaging experiences for anyone to explore code. Pratim will share his thoughts on the ways that more of us can become involved with code when we open up its richness and depth to a wider audience. He will also introduce us to his ideas about countering technocentrism, a key focus of his new book.
We will shortly be sharing details about the official in-person launch event of the Raspberry Pi Computing Education Research Centre at the University of Cambridge on 20 July 2022. And guess who is going to be coming to Cambridge, UK, from Michigan to officially cut the ribbon for us? That’s right, Mark Guzdial. More information coming soon on how you can sign up to join us for free at this launch event.
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Scratch Week is a global celebration of Scratch that takes place from 15 to 21 May this year. Below, we’ve put together some free resources to help get kids coding with this easy-to-use, block-based programming language. If you’re not sure what Scratch is, check out our introduction video for parents.
Code Club World is a great place to start coding for children who have never done any coding or programming before. The Code Club World online platform lets them begin their coding journey with fun activities, starting by creating their own personal avatar.
Then on Scratch Island, kids can code a game to find a hidden bug, design a fun ‘silly eyes’ app, or animate a story. No experience necessary! We’ve just added a parents’ guide to explain how Code Club World works.
For kids who feel ready to move beyond the basics of Scratch this Scratch Week, our Projects site offers a catalogue of projects that further enhance kids’ coding skills as they earn badges and explore, design, and invent.
With the More Scratch path, they will create six projects to make apps, games, and simulations using message broadcasting, if..then and if..then..else decisions, and variables. Then with the Further Scratch path, they can explore the advanced features of Scratch in another six projects to use boolean logic, functions, and clones while creating apps, games, computer-generated art, and simulations.
If you think your kids would like to learn how to build physical projects they can program in Scratch, then take a look at our Physical computing with Scratch and Raspberry Pi path. In these six projects, your young people will learn how to use Scratch on a Raspberry Pi computer to control LEDs, buttons, and buzzers to make interactive games, displays, and instruments.
Be inspired by the amazing things young tech creators worldwide code in Scratch by visiting the Coolest Projects Global 2022 showcase. Young people are showing off Scratch games, stories, art, and more. In our Coolest Projects online gallery, these creations are displayed amongst hundreds of others from around the world — it’s the ideal place to get inspired.
Are you curious about coding too? If you would like to start learning so you can better help young people with their creative projects, our online course Introduction to Programming with Scratch is perfect for you. It’s available on-demand, so you can join at any time and receive four weeks’ free access (select the ‘limited access’ option when you register). This course is a fun, inspiring, and colourful starting point if you have never tried coding before.
If you’re a parent looking for more coding activities to share with your kids, you can sign up to our parent-focused newsletter.
We hope you enjoy exploring these resources during Scratch Week.
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Raspberry Pi Pico is a low-cost microcontroller that can be connected to another computer to be programmed using MicroPython. We think it’s a great tool for exploring physical computing in classrooms and coding clubs. Pico has been available since last year, amid school closures, reopenings, isolation periods, and restrictions for students and teachers. Recently, I spoke to some teachers in England about how their reception of Raspberry Pi Pico, and how they have found using it to teach physical computing to their learners.
This blog post is adapted from issue 18 of Hello World, our free magazine written by computing educators for computing educators.
At secondary schools, a key use of Raspberry Pi Pico was in teacher-led lunchtime or after-school clubs. One teacher from a girls’ secondary school in Liverpool described how he introduced it to his Women in Tech club, which he runs for 11- to 12-year-old students for half an hour per week at lunchtime. As this teacher has free rein over the club content and a personal passion for Raspberry Pi, his eventual aim for the club participants was to build a line-following car using Pico.
The group started by covering the basics of Pico, such as connecting it with a breadboard and making LEDs flash, using our ‘Getting started with Raspberry Pi Pico’ project guide. The teacher described how walking into a room with Picos and physical computing kits grabs students’ attention: “It’s massively more engaging than programming Python on a screen… They love the idea of building something physical, like a car.” He has to remind them that phones aren’t allowed at school, as they’re keen to take photos of the flashing lights to show their parents. His overall verdict? “Once the software had been installed, [Picos are] just plug and play. As a tool in school, it gives you something physical, enthuses interest in the subject. If it gets just one person choosing the subject, who wouldn’t have done otherwise, then job done.”
“If it gets just one person choosing the subject, who wouldn’t have done otherwise, then job done.”
Teacher at a Liverpool girls’ secondary school
Another teacher from a school in Hampshire used Picos at an after-school club with students aged 13 to 15. After about six sessions of less than 50 minutes last term, the students have almost finished building motorised buggies. The first two sessions were spent familiarising students with the Picos, making LEDs flash, and using sensors. In the next four sessions, the students made their way through the Pico-focused physical computing unit from our Teach Computing Curriculum. The students worked in pairs, and initially some learners had trouble getting the motors to turn the wheels on their buggies. Rather than giving them the correct code, the teacher gave them duplicate sets of the hardware and suggested that they test each piece in turn to ‘debug’ the hardware. Thus the students quickly worked out what they needed to do to make the wheels turn.
For non-formal learning settings such as computing and coding clubs, we’ve just released a six-project learning path called ‘Introduction to Raspberry Pi Pico’ for beginner digital makers. You can check out the path directly, or learn more about how we’ve designed it to encourage learners’ independence.
Another key theme that came through in my conversations with teachers was how Raspberry Pi Pico can be used to reinforce learners’ existing computing skills. One teacher I interviewed, from a school in Essex, has been using Picos to teach computing to 12- to 14-year-olds in class, and talked about the potential for physical computing as a pedagogical tool for recapping topics that have been covered before. “If [physical computing] is taught well, it enhances students’ understanding of programming. If they just copy code from the board, it becomes about the kit and not how you solve a problem, it’s not as effective at helping them develop their computational thinking. Teaching Python on Pico really can strengthen existing understanding of using Python libraries and subroutines, as well as passing subroutine arguments.”
“If [physical computing] is taught well, it enhances students’ understanding of programming.”
Teacher at an Essex secondary school
Another teacher I spoke to, working at a Waterlooville school and relatively new to teaching, talked about the benefits of using Pico to teach Python: “It takes some of the anxiety away from computing for some of the younger students and makes them more resilient. They can be wary of making mistakes, and see them as a hurdle, but working towards a tangible output can help some students to see the value of learning through their mistakes.”
This teacher was keen for his students to get a sense of the variety of jobs that are available in the computing sector, and not just in software. He explained how physical computing can demonstrate to students how you can make inputs, outputs, and processing very real: “Give students a Pico and make them thirsty about what they could do with it — the device allows them to interact with it and work out how to bend it to what they want to do. You can be creative in computing without just writing code, you can capture information and output it again in a more useful way.”
“Working towards a tangible output can help some students to see the value of learning through their mistakes.”
Teacher at a Waterlooville school
One of the teachers we spoke to was initially a bit cynical about Pico, but had a much better experience of using it in the classroom than expected: “It’s not such a big progression from block-based microcontrollers to Pico — it could be a good stepping stone between, for example, a micro:bit and a Raspberry Pi computer.”
Why not try out Raspberry Pi Pico in your classroom or club? It might be the engagement booster you’ve been looking for!
Teachers at state schools in England can borrow physical computing kits with class sets of Raspberry Pi Picos from their local Computing Hub. We’ve made these kits available through our work as part of the National Centre for Computing Education. The Pico kit is perfect for teaching the Pico-focused physical computing unit from our Teach Computing Curriculum.
Qualified US-based educators can still get their hands on 1 of 1000 free Raspberry Pi Pico hardware kits if they sign up to our free course Design, build, and code a rover with Raspberry Pi Pico. This course shows you how to introduce Pico in your classroom. We’ve designed the course on the Pathfinders Online Institute platform, specifically for US-based educators, thanks to our partners at Infosys Foundation USA. These Raspberry Pi Pico kits are also available at PiShop.us.
For non-formal learning settings, such as Code Clubs and CoderDojos, we’ve created a six-project learning path: ‘Introduction to Raspberry Pi Pico’. This path is for beginner digital makers to follow and create Pico projects, all the while learning the skills to independently design, code, and build their own projects. All of the components for the path are available as a kit from Pimoroni.
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Since the release of the Raspberry Pi Pico microcontroller in 2021, we have seen people all over the world come up with creative Pico-based inventions.
Now, thanks to our brand-new and free ‘Introduction to Raspberry Pi Pico’ learning path, young coders can easily join in and make their own cool Pico projects! This free learning path has six guided projects to help kids to independently develop their coding skills, and their skills in physical computing and electronics.
In this post, I’ll tell you about Raspberry Pi Pico, what kids can make by following our free ‘Intro to Pico’ path, and what skills they will be learning.
Raspberry Pi Pico is a physical computing device that is low-cost and easy to use. It’s much smaller than any Raspberry Pi computer, and it needs much less power. That’s because it’s not a full computer but instead a microcontroller. That means Pico is a device that you program by writing code on any computer, and then sending that code to Pico via a USB cable.
In the ‘Intro to Raspberry Pi Pico’ path, we’ve designed new digital making projects specifically using Pico. By following the projects in the path, young people learn to make things with different electronic components. They’ll bring to life their own LED fireflies; they’ll make music with a sound machine and dial (a potentiometer); they’ll look after themselves and people around them by making a mood indicator and a heart rate visualiser. To find out more, visit the path, or scroll to the bottom of this post and click on ‘Details about the projects’.
The specially designed structure of our learning paths helps kids become confident and independent coders and digital makers. Through this project path, we want to show young people what is possible with Raspberry Pi Pico and inspire them to continue their digital making journey beyond the six projects. Seeing tech creations from our amazing community is super special to us, and we would love to hear about what your young coders have made with Pico. Kids can share their projects in the path gallery, or you can tag us on social media if you post photos!
While young people make all these Raspberry Pi Pico projects, they will learn the skills and independence to make and code their very own, unique creations with a Pico. We have designed our new project paths to help kids become independent digital makers. As they progress through a path, kids gain new skills, practise what they have learnt, and finally write and follow their own project brief.
Our learning paths help kids develop many of the skills that are important to all coders and digital makers, no matter how much experience they have:
The learning paths also encourage kids to make projects about the things that matter to them.
We have written the projects in this path with young people around the age of 9 to 13 in mind.
Programs for Raspberry Pi Pico are written in a text-based language called MicroPython. That means a young person who wants to start the ‘Intro to Pico’ path needs to be familiar with typing on a keyboard.
If your kid has never coded in a text-based language before, they could complete our free ‘Introduction to Python‘ project path first, but this is not a prerequisite.
To help with the programming aspects of the projects, the instructions in the path tell young people about:
One of the great things about this project path is that it helps young people explore physical computing and electronics. In the ‘Intro to Pico’ path, they’ll use:
We’ve designed the path to be completed in around six one-hour sessions, with one hour per project. However, the project instructions encourage kids to upgrade their projects and go further if they wish. This means that they might want to spend a little more time getting their projects exactly as they imagine.
Young people need a web browser so they can follow the project instructions. The first two projects in the path provide detailed instructions for how to install the free software needed for the projects.
The first step of each project lists what components are needed to create the project. You can purchase a kit from Pimoroni that includes all of the components used in the path:
If your young coders enjoy MicroPython, they’ll also love our Python learning paths: ‘Introduction to Python‘ and ‘More Python‘. Both are structured in the same way as our Pico path, and will help young people learn Python while creating their own visual designs.
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