Tag Archives: Experience AI

Bring AI literacy into every classroom with our new themed resources

Post Syndicated from Emma Staves original https://www.raspberrypi.org/blog/bring-ai-literacy-into-every-classroom-with-our-new-themed-resources/

Artificial intelligence (AI) is already part of young people’s everyday lives, from the content recommended to them on social media to the generative AI tools they increasingly encounter. But AI technologies are also being used to tackle challenges in the wider world, from forecasting floods to monitoring our environment.

That’s why we believe AI literacy shouldn’t sit within a single subject. Young people need opportunities to explore how AI works, where it is used, and the questions it raises across the curriculum.

To address this, we created a new collection of free themed Experience AI resources, designed to make it easier for educators to bring AI literacy into the subjects and topics they already teach. The resources include those co-developed by the Raspberry Pi Foundation and Google DeepMind, alongside those developed independently by the Raspberry Pi Foundation, including two units created with support from our partner, Digital Moment.

Explore AI through the issues that matter

When we began developing these resources, we initially explored creating materials specifically for individual curriculum subjects. But through conversations with educators and our partners around the world, we learnt that a more flexible approach could be much more useful.

Curricula differ between countries, schools, and age groups, and AI technologies rarely fit neatly within traditional subject boundaries. The same technology can raise scientific, geographical, social, creative, and ethical questions.

So rather than assigning each resource to a particular subject, our new resources are organised around broad themes, including the environment, critical thinking, and ethics.

The themes of resources: The environment, critical thinking, and ethics.

The resources include:

  • Flood forecasting, a lesson that explores how AI tools can be used to predict flooding
  • AI and social media, a unit that helps young people investigate how their online behaviour influences the content they are shown
  • AI detectives: The case of the clever claim, an activity that develops critical thinking about AI tools and the claims made about them

Designed for learners aged 8 to 16, the resources can be used in different subjects and adapted by educators to suit their own classroom context.

That flexibility is important. We want educators to be able to introduce meaningful AI literacy without feeling that they need to become AI specialists or find space for an entirely new subject in an already busy curriculum.

AI literacy across the curriculum

The need for this approach is increasingly recognised by subject experts.

Dr Becky Kitchen, Head of Professional Development at the Geographical Association, highlighted the importance of giving young people opportunities to engage critically with AI technologies as part of their wider learning:

Dr Becky Kitchen, Head of Professional Development at the Geographical Association

“Pupils are increasingly coming into contact with AI and so it’s vital that they are taught how to harness its power in an effective and critical way. Developing resources across the curriculum to embed this knowledge, understanding, and use is critical.”

After reviewing the new resources, she added:

“These resources are outstanding. They develop pupils’ geographical knowledge while simultaneously exploring the role that AI can have in a meaningful and concrete way.”

The connections extend well beyond geography.

Professor Geoff Cox, Professor of Art and Computational Culture at London South Bank University, emphasised the role that arts and humanities subjects can play in developing a richer understanding of AI technologies:

“If AI literacy is left solely to STEM subjects or computer science, we lose the opportunity to ask deeper human, cultural, and ethical questions — questions that art is uniquely equipped to explore.”

He also highlighted the value of combining different ways of learning:

“The resources move between visual analysis, practical activity, and critical reflection, recognising that only in combination can AI literacy be developed effectively.”

These perspectives reflect an important principle behind the collection. AI literacy isn’t simply about knowing how a technology works. It is also about being able to question it, understand its applications and limitations, and consider its impact on people, communities, and the world.

Tested in real classrooms

Before launching the resources more widely, earlier this year we collaborated with our partner, Digital Moment, to give educators in Canada the opportunity to test some of them with their students. Their experiences helped us understand not only how the resources worked in practice, but also where they could fit naturally into existing teaching.

As Indra Kubicek, CEO of Digital Moment, explains:

“Educators play a critical role in helping students understand and think critically about the use of AI and its implications across a wide range of subjects. Building the next generation of creators, builders, and innovators who will shape the future of AI starts with AI education in the classroom.”

One of the educators who took part was Grade 8 teacher Sandra Theobald, who tested our AI and social media activity. Before the lesson, she expected her students, who were already regular social media users, to be familiar with many of the ideas.

Grade 8 teacher Sandra Theobald

While they did have a good background knowledge, the activity prompted them to make new connections between their own behaviour, the data they generate, and the content they are shown as a result of the algorithms presented to them.

Students were able to explore the ideas themselves, with Sandra taking more of a supporting role. She found that they came away feeling more confident about understanding how their interactions with social media affect what they see, and keen to share what they had discovered with their families.

For educators who may feel unsure about introducing AI tools in their classroom, Sandra’s advice is to simply give it a go, rather than waiting until feeling like an expert:

“My advice is to start small and seek out trusted resources and experts in AI education. Partner with another educator so you can explore and learn together. There is so much information available that it can feel overwhelming, so take it one step at a time. Learn alongside your students and build your confidence as you go.”

A powerful and easy resource for teachers

Canadian educator Colin McKenzie also used the AI and social media unit with his Grade 7 and 8 classes.

Canadian educator Colin McKenzie

Using Somekone, a closed social media simulation for the classroom, his students created accounts and explored how their behaviour affected the content the system recommended.

The experience felt familiar enough to capture their attention, but gave them an opportunity they wouldn’t normally have when using a real social media platform: to examine what was happening behind the scenes.

Students reflected on their interests and choices and then used data on their own behaviour to understand how that behaviour affected what they were shown. Colin found that students were eager to return to the activity each day to discover what would happen next.

Crucially, he also found it straightforward to incorporate the activity into his existing teaching rather than having to significantly change his plans.

“I think this is a powerful and easy resource for teachers to use in the classroom. It is easy to set up and navigate, and it ties in well with curriculum areas around online usage, especially with how prominent AI is becoming in our educational lives.”

For Colin, the activity provided a practical way to connect AI literacy with what his students had already learnt about online safety and evaluating information. It also helped students recognise that the content they encounter online isn’t simply appearing by chance: their own actions can influence the content recommended to them by AI-driven systems.

The experience was valuable enough that Colin plans to make the unit part of his teaching each year.

Giving educators flexibility

Feedback like this has reinforced why flexibility is central to our approach.

A lesson about flood forecasting might support learning in geography or science. Exploring AI-generated content could lead to discussions in art, media literacy, humanities, or computing. An activity investigating social media algorithms can connect AI literacy with online safety, critical thinking, and digital citizenship.

Young learners in the classroom using Experience AI resources in Malaysia

Most importantly, these things provide opportunities for students to encounter AI literacy in different contexts and recognise that understanding AI is relevant far beyond the computing classroom.

AI literacy belongs in every classroom

AI technologies will continue to change. The contexts in which young people encounter them will change too.

Our aim isn’t to prepare students for one particular AI tool or moment in time. It’s to help them develop the knowledge and critical thinking skills they need to understand all kinds of AI technologies, question them, and make informed decisions about them.

Educators shouldn’t need to be computer science teachers, or AI experts, to do that.

By creating flexible resources that connect AI with subjects and issues young people are already exploring, we hope to make it easier for more educators to bring AI literacy into their classrooms.

Explore the new themed Experience AI resources and discover a starting point for your learners.

Explore new resources

We’d like to say a big thank you to our global partner, Digital Moment, for their support in trialling these new resources with educators and learners in Canada.

The post Bring AI literacy into every classroom with our new themed resources appeared first on Raspberry Pi Foundation.

Experience AI evolves with flexible resources for every classroom

Post Syndicated from Ben Garside original https://www.raspberrypi.org/blog/experience-ai-evolves-with-flexible-resources-for-every-classroom/

Experience AI equips young people with a meaningful understanding of artificial intelligence (AI) and machine learning by giving educators the knowledge and confidence to teach these topics in ways that suit their classrooms.

Whether you’re introducing AI to learners for the first time, helping them deepen their understanding, exploring generative AI with them, or integrating AI literacy across the curriculum, Experience AI offers you all the resources you need for free.

Since we started publishing Experience AI resources in 2023, they have been downloaded over a million times in 195 countries, and we have worked with partner organisations in more than 40 countries to train educators to teach AI literacy. Thanks to partners, we have learned a lot about how teachers around the world use the resources in their classrooms, and this has given us direction for what new resources to develop.

The updated suite of Experience AI resources

Many teachers looking for AI literacy resources are not computing specialists and have very busy timetables. Under pressure to deliver more content without more instructional time, what educators need are resources they can integrate into what they already teach. To support them, we’re now offering an updated suite of Experience AI resources that make AI literacy more accessible, flexible, and relevant.

The resources include those co-developed by the Raspberry Pi Foundation and Google DeepMind, alongside those developed independently by the Raspberry Pi Foundation.

Screenshot of the Discover AI resources on the Experience AI website

The new Discovering AI resources, aimed at learners aged 8–12 and learners aged 13–16, are single lessons for introducing the fundamental ideas behind AI. They support educators with learners who have little or no prior knowledge of AI, and include engaging, age-appropriate activities.

Screenshot of Experience AI resources.

From there, our updated Foundations of AI units let teachers support their learners to develop a deeper understanding of how AI systems work, how they’re trained, and how they can be applied to real-world problems.

Slide from one of the Experience AI activities exploring AI and a real-world problem such as flood-forecasting.

And a new and growing collection of thematic resources supports teachers and learners to explore AI through cross-subject topics such as creativity, the environment, and critical thinking.

Experience AI now fully reflects our belief that AI literacy needs to be cross-curricular. Application of AI technologies isn’t limited to neat domains or subjects, so learners’ opportunities to understand them shouldn’t be either.

Why we are creating thematic resources

Education systems vary significantly between countries, and in most national curricula, AI literacy is not yet clearly defined. Nevertheless, teachers are both under pressure to deliver this new topic area in their limited classroom time, and eager to rise to the challenge to support their learners.

So we asked ourselves: how can we help educators to teach AI literacy in any subject without additional lesson time, when we cannot create specific resources for every subject in every education system?

Our answer came from educators themselves. Through our network of global partners, we learned that teachers were not waiting for us to tell them in what subjects the Experience AI resources belonged. They were already adapting them to teach AI literacy in all sorts of contexts. For example, we saw that some educators adapted the resource on AI and ecosystems, which we had developed for Biology classrooms, for their Geography classrooms, where it supported similar learning goals.

Photo of a group of educators being trained to teach and use Experience AI resources.

This insight into teachers’ classroom practice prompted us to change our approach.

Now, rather than designing resources for a single subject, we design and organise them in themes that fit across subjects, such as environment, creativity, ethics, and critical thinking. So a resource for exploring the environmental impact of AI data centres could be used in Geography, Physics, Citizenship, or Business Studies classrooms. An activity about AI-generated media could prompt discussions in Digital Literacy, Art, or Computing lessons. The same material supports different curricular goals, depending on how teachers choose to use it.

Helping every educator teach AI literacy with confidence

A key advantage of this new thematic approach is flexibility. Our thematic resources support teachers to:

  • Introduce AI literacy through topics they can easily fit into their subject
  • Integrate AI literacy without additional lesson time
  • Adapt the included activities for different learners and classroom contexts

Like all Experience AI materials, the new resources:

  • Encourage classroom discussions and promote critical thinking and reflection about AI technologies
  • Help learners understand how AI impacts society, not just how AI tools work
Photo of an educator teaching Experience AI in a classroom.

While Experience AI will continue to focus on core AI literacy concepts — how AI systems work, how they are used, and how to think critically about them — the resources we offer will increasingly be:

  • Thematic: Built around real-world topics with broad relevance
  • Modular: Adaptable to different classroom contexts rather than tied to a fixed sequence
  • Differentiated: Designed specifically for learners aged 8–12 and 13–16
  • Varied in format: Full lessons, stand-alone discussion activities, and extended project guides

In this way, we aim to make teaching AI literacy practical and achievable for every educator, regardless of their subject specialism or previous experience of using or teaching about AI.

Share your feedback with us

We’ve tested the new thematic resources with our Experience AI partner, Digital Moment in Canada, who also co-created our Social Media and Flood Forecasting units. Educators’s feedback shows that they value the added flexibility and find the new materials easier to bring into their teaching.

With our new approach, we’re able to offer a more flexible Experience AI programme that supports a wider range of educators, however they want to bring AI literacy into their classrooms.

Discover the new resources

If you use the resources in your classrooms, please tell us what you think. We’ll continue refining and expanding the Experience AI programme and resources in response to feedback from educators and partners around the world.

Get in touch and share your stories of using Experience AI in the classroom via our email: [email protected]

The post Experience AI evolves with flexible resources for every classroom appeared first on Raspberry Pi Foundation.

Supporting AI education for 150,000 learners in Aotearoa New Zealand and Australia

Post Syndicated from Anna Burton original https://www.raspberrypi.org/blog/supporting-ai-education-for-150000-learners-in-aotearoa-new-zealand-and-australia/

We’re pleased to share that we are expanding our Experience AI programme to Australia and Aotearoa New Zealand to train 5000 educators who can reach 150,000 students by 2028, thanks to generous funding of $1.2 million from Google.org.

CSER Team delivering a workshop at Adelaide University

Working with local education organisations, we will support young people to develop a foundational understanding of AI technologies, their social and ethical implications, and the role that AI can play in their lives.

AI literacy across the world through Experience AI

AI systems are a common part of everyday life and influence how we access information, and how we work and solve problems. We believe that young people need more than the ability to use AI tools: they need the knowledge, skills, and confidence to understand how AI technology works, to think critically about its impact, and to create AI-based solutions of their own. 

Experience AI is our free educational programme co-developed with Google DeepMind that helps teachers and students learn about artificial intelligence. Through the Experience AI training, lessons, classroom resources, and hands-on activities, teachers introduce young people to how AI systems work, how they can be used, and what their impacts may be.

CSER Team example of teacher workshop 2026

We bring AI literacy to young people across the world with Experience AI by building trusted partnerships with local organisations that lead sustainable delivery of the programme in ways that suit their contexts. Through this global network of Experience AI partners, we have trained over 50,000 educators who can reach an estimated 4.8m young people. Today, Experience AI resources are used in over 195 countries and available in 22 languages. In recognition of its global impact, Experience AI was named a laureate of the 2025 UNESCO King Hamad Bin Isa Al-Khalifa Prize for the Use of ICT in Education.

Experience AI partnerships in Australia and Aotearoa New Zealand

In Australia, the first partner we are working with is the Computer Science Education Research Group (CSER), based at Adelaide University. Professor Katrina Falkner, the university’s Pro-Vice-Chancellor, Learning and Teaching, says about the partnership:

“We are thrilled to partner with the Raspberry Pi Foundation to bring the Experience AI programme to Australian schools. It is so important that teachers are provided opportunities to understand AI so they can help students develop the self-regulated learning skills needed to thrive in a world where AI is increasingly part of everyday learning and work. Educators can play a critical role in ensuring that a human lens of critical thinking, ethical judgement, creativity, and meaningful human connection remain at the heart of AI education and adoption, preparing students for careers where effective collaboration with AI tools will be essential.”

In Aotearoa New Zealand, we are working with Tōnui Collab Charitable Trust, a Maōri-led organisation dedicated to creating innovative STEM learning opportunities.

Collaboration with Tonui

Shanon O’Connor, Director of Tōnui Collab, says about the partnership (1):

“We are partnering with the Raspberry Pi Foundation to provide this kaupapa to educators in Aotearoa, adapting and contextualising their global Experience AI program to make it meaningful and relevant in Aotearoa.

This kaupapa isn’t about learning to code; it’s not a kaupapa designed solely for the ‘tech enthusiasts’, it’s about fostering digital equity, ensuring rangatahi have the tools and knowledge to thrive in a world increasingly shaped by technology. It’s our attempt to ensure the digital divide doesn’t become a digital chasm. 

We’re also facilitating robust conversations about data bias and the impact this has on the ways we as Māori engage with AI-powered technologies, creating space for kōrero about tech tikanga and our collective responsibilities when using or engaging with AI-powered technologies.”

Looking ahead

All young people need opportunities to develop the skills, knowledge, and confidence to navigate and shape a world where AI technologies are widely used. With support from Google.org and education partners across Aotearoa New Zealand, Australia, we will continue to expand access to high-quality AI education.

Find out more about Experience AI at experience-ai.org

(1) Shanon uses some Māori words that are common in Aotearoa New Zealand for both speakers and non-speakers of reo Māori:

  • kaupapa: the guiding purpose, philosophy, or approach underpinning the work
  • rangatahi: younger generation, youth
  • “kōrero about tech tikanga”: having discussions about the correct protocols, ethics, and practices for engaging with technology

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Empowering global AI literacy: Translating Experience AI resources into Croatian

Post Syndicated from Zeljka Novak Baxter original https://www.raspberrypi.org/blog/empowering-global-ai-literacy-translating-experience-ai-resources-into-croatian/

We work with partners globally to promote AI literacy through Experience AI, our programme created in collaboration with Google DeepMind. With resources available in 19+ languages and a network of partners in over 38 countries, a key part of our work is translating and localising our materials so as many young people around the world as possible build the confidence to engage with AI critically and responsibly.

Educators at a workshop

But localisation introduces a unique hurdle: sometimes, languages are divided into ‘small languages’ and ‘big languages’.

As a speaker of Croatian, a ‘small language’, I think about this divide often. What makes a language small? A small language has a small number of speakers and is usually not considered a key market. Practically, this means resources for translation are often directed towards ‘big languages’. This makes sense from an impact perspective: translating into languages with more speakers maximises reach.

That is why, as a localisation coordinator at the Foundation, I am delighted that we partnered with Croatian organisation Suradnici u učenju to ensure that for Experience AI, Croatian is not treated as a small language — it is simply a language.

Translating text about emerging technologies is not easy

But translating into Croatian can present hurdles. When I got my first computer in Croatia, the user interface was in English. As a result, I never learned how to say “copy/paste” in Croatian. Those types of menus and tools had simply not been translated yet when I lived there. This happens a lot, especially with software and fast-emerging technologies like AI. Native speakers have no other choice but to use English words: the English words enter the language, and sometimes they stay.

As a result, translating key Experience AI terms into Croatian wasn’t easy. Even terms like ‘AI’ went through several rounds of discussion. Should we use the English ‘AI’ (artificial intelligence) or the Croatian ‘UI’ (umjetna inteligencija)? How should we pronounce ‘AI’ or ‘UI’ in spoken language?

Sometimes, it can be hard to know what the right thing to do is. While the English terms have been normalised, the Croatian word can seem foreign and out of place. When making a decision about how we translate terms for Experience AI resources, we also have to think about fairness and accessibility. Is it fair to assume that all young people and educators understand English words? If we assume incorrectly, we are preventing some learners from fully accessing and understanding our materials.

That’s why our in-country partners are a big part of our translation process. When we aren’t sure about whether we are making the right choice for educators and learners, we can rely on their expertise. They are not only native speakers, but also subject matter experts. For Croatian specifically, Suradnici u učenju did a very thorough review of the translation.

It’s about more than just words

Beyond AI terminology, localisation also meant aligning resources with the terminology and conventions already used in Croatian schools and curricula. This ensured that the resources felt familiar to teachers and reflected the language they already use in classrooms, textbooks, and educational guidance.

A group of educators looking at a laptop screen.

As Lidija Kralj, from Suradnici u učenju explained:

“It was very important that an Informatics subject expert worked together with a Croatian language expert, and that both of us are teachers. We discussed whether to use the English abbreviation ‘AI’ or the Croatian ‘UI’, and ultimately felt it was our responsibility as educators to use Croatian terms where they already exist. We also wanted to be consistent with terminology that teachers already know from textbooks and the Croatian education system.

This combination — a subject expert, a language expert, and a Raspberry Pi Foundation localisation expert who understands our language — helped us create resources that feel natural and ready for classroom use. The response from participants in our first Experience AI course in Croatian has already shown us how much teachers value having fully localised materials.”

We opted for the approach where, if a Croatian word exists, we will use the Croatian word. Personally, I enjoyed seeing words like ‘offline activity’ slowly disappear from our resources and get replaced with Croatian words like “aktivnost bez računala” (activity without a computer).

As a result, the Croatian translation of our resources now flows very naturally, is accessible, and doesn’t read like a translation. You can check out our Croatian resources online.

AI literacy education with a global network of partners

We work with partners worldwide to bring AI literacy education to millions of young people. Discover all Experience AI partners here.

And to learn more about our resources and to see what other languages we translate into, check out the Experience AI website.

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Support your young people with our AI literacy resources

Post Syndicated from Jenni Hutchings original https://www.raspberrypi.org/blog/ai-education-resources-ai-awareness-day/

At the Raspberry Pi Foundation, we believe that alongside learning to code, a crucial part of computing education is building AI literacy skills. Amidst the rapid pace of development and the growing impact of AI tools, it is increasingly important for educators everywhere to feel equipped to address the topic of AI with their learners, to help young people understand their world, be responsible users of AI technologies, and prepare to become the future creators of these technologies. 

We work at the leading edge of AI education, combining research and industry expertise with practical classroom experience to define what AI means for computing education, and how to best support teachers and learners to understand these technologies. 

Whether you are a teacher, a Code Club mentor, or a parent, we have a wide range of free resources to help you teach your young people about AI, and learn more about it yourself.

Explore our teaching resources

We offer a variety of teaching materials to help you bring AI into your setting. You do not need to be a professional educator or have a background in computer science to use these resources, and we provide everything you need to guide your learners with confidence.

Experience AI is our free AI literacy programme, developed in collaboration with Google DeepMind. Through ready-to-use classroom resources, including lesson plans, presentations, and hands-on activities, the programme helps educators all over the world teach their learners about how AI works, as well as its wider social and ethical implications. You and your learners will investigate AI tools, explore real-world uses of AI, and engage with critical issues such as bias, fairness, and transparency, helping learners to understand AI and use it responsibly. The lessons currently available are designed for learners aged 11–14, and we are releasing resources for other age groups this year.

To help bring Experience AI to more educators and learners around the world, we work with a global network of partner organisations, who help us provide tailored and translated resources and offer localised, high-quality training and support for educators in their regions. Experience AI resources are currently available in 19 languages, and have already been downloaded in more than 180 countries. In recognition of its impact, in 2025 Experience AI was named a laureate of the UNESCO King Hamad Bin Isa Al-Khalifa Prize for the Use of ICT in Education.

“[Experience AI] has definitely changed my outlook on AI. I went from knowing nothing about it to understanding how it works, why it acts in certain ways, and how to actually create my own AI models and what data I would need for that. I would 100% recommend others who don’t know much about AI to try it out.” – Student, Arthur Mellows Village College, UK

If you are looking to introduce school-aged young people to AI with short, beginner-friendly coding  and digital making projects, take a look at our collection of Code Club projects about AI and machine learning. These projects are a great way to spark curiosity and investigate how AI and machine learning works.

In the projects, learners get hands-on with a range of AI tools and platforms, and explore different applications of AI, such as image recognition, voice recognition, and (for learners aged 13 and over) generative AI. For example, in Doodle detector, learners use Machine Learning for Kids with Scratch to create a machine learning application that can identify what they have drawn. 

The projects feature clear step-by-step instructions, and many include video tutorials, to help learners work at their own pace and in a style that suits them. We also provide mentor guidance to help you prepare.

An illustration of an image classification application correctly identifying a drawing of an apple.
Learners can explore topics such as image classification through our collection of Code Club projects about AI and machine learning

For resources to support older learners to build their understanding of AI, head to Ada Computer Science. Ada Computer Science is our free online platform for computer science students and teachers, developed in partnership with the University of Cambridge. It provides comprehensive resources for learners aged 14–19 across the breadth of computer science, including detailed learning materials about AI and machine learning. The materials include helpful definitions, clear explanations, and carefully designed self-marking questions to support young people’s learning.

Learners aged 14–19 can build their knowledge of AI and machine learning on our Ada Computer Science platform
Learners aged 14–19 can build their knowledge of AI and machine learning on our Ada Computer Science platform

Explore our learning and training opportunities for educators

To help you build your knowledge around AI technologies and grow your confidence to teach your young people about this important topic, we offer a range of learning resources and professional development opportunities, all for free. They are open to everyone, so we invite you to dive into any that interest you.

For flexible, self-paced learning options, take a look at the following free online courses, which cover a range of topics within AI:

  • Introducing AI: Investigate how AI systems work and how to evaluate them, and explore the benefits, risks, and ethical issues related to them. This course is made up of 2 modules, and takes around 2–4 hours to complete.
  • AI literacy for teachers and school leaders: Learn how to support your students and staff to understand, use, and critically assess AI technologies. This course takes around 1–2 hours to complete. 
  • Machine learning and AI: Discover machine learning and how it works, and train your own AI models using free online tools. This course is made up of 4 modules, and takes around 4–8 hours to complete.
Learn more about AI through our free online courses for educators
Learn more about AI through our free online courses for educators

You might also be interested in Hello World, our free magazine and podcast for educators teaching computing and AI. Each magazine is packed with resources, discussions, news, and ideas, and you can subscribe to receive each issue as soon as it is released. The next issue, coming in July, will focus on critical thinking in the age of AI. You can download our previous issues to explore articles about a variety of topics within AI too. What’s more, you can continue your learning with the Hello World podcast, which accompanies the magazine and features discussions with educators and researchers from around the world. Visit the podcast page to discover previous episodes exploring vibe coding and programming education, AI education around the world, and more.

Hello World Issue 29 - Safety & security
Hello World Issue 29 – Safety & security

To learn about research-informed teaching strategies to help you as you explore AI with your learners, you can read these short Pedagogy Quick Reads:

  • Anthropomorphism: Explore how to help learners avoid thinking of AI systems as human-like, to support their understanding.
  • Computational Thinking 2.0: Consider how computational thinking is evolving and how to help learners develop the computational thinking skills they need to understand modern digital systems involving AI.
  • Feedback literacy: Explore how feedback literacy can help teachers and learners interact effectively with feedback generated by AI tools.
A Pedagogy Quick Read entitled ‘The effects of anthropomorphisation on students’ mental models of AI’.
A Pedagogy Quick Read entitled ‘The effects of anthropomorphisation on students’ mental models of AI’.

For more insights from computing education research, you can join our monthly online research seminars. Our 2026 research seminar series focuses on teaching about AI across the curriculum, delving into research on teaching and learning about AI from disciplines beyond computer science, including the arts, sciences, and humanities. Our next seminar takes place on 16 June, and you can catch up on previous seminars from our current series here. You can also explore our archive of recordings from previous seminar series, with themes including teaching about AI and data science, teaching programming (with or without AI), and more.

Bring AI into your classroom today

All of these resources and learning opportunities are available to anyone interested in educating young people about AI, anywhere in the world. We hope they help you gain understanding, confidence, and inspiration to guide your young learners to engage with AI safely and responsibly, and to learn valuable skills that will help them navigate their world.

“Let the students explore, advance, and grow. And who knows — maybe one of our students will go on to become a mentor or leader in this field someday.” – Ana Judith Zavaleta, computer science teacher, Mexico, speaking about Experience AI

If you are in the UK, you can also use these resources to get involved with the first-ever AI Awareness Day, a new nationwide campaign designed to build AI literacy across UK schools, which is taking place on 4 June.

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Building confidence to teach AI in the classroom

Post Syndicated from Hayley McKechnie original https://www.raspberrypi.org/blog/building-confidence-to-teach-ai-in-the-classroom/

Hayley McKechnie is a computing lead at a primary school in the East of England, who shares in this blog how she supports her students and her fellow teachers to build confidence around artificial intelligence (AI). She developed her skills through training delivered by Parent Zone, our partner for Experience AI in the UK.

Artificial intelligence is part of everyday life for young people, but teaching students what AI is, how it works, and why it should be used responsibly can still be a challenge.

As a computing lead at a school in the East of England, the Experience AI programme has played a central role in building my confidence, as well as that of my colleagues, when it comes to teaching AI in the classroom.

Through professional development, practical classroom materials, and a strong focus on ethics, the programme has helped me bring AI to life in a way that feels accessible, age-appropriate, and responsible.

Building confidence through training

I began my AI education journey by attending training sessions hosted by Parent Zone to strengthen my own understanding of artificial intelligence. This felt like an important first step, because many teachers are learning about AI alongside their students.

Educator in the classroom with Experience AI

The training really helped me understand how AI actually works. That’s so important, because if you’re not confident in your own understanding, it’s very difficult to explain it clearly to children.

At first, I trialled one or two lessons with my students, introducing concepts gradually as AI tools became more visible in everyday life. As my confidence grew, I started using more of the materials, and this year I plan to deliver the full six-week unit as a dedicated part of our computing curriculum.

What I particularly like is how clear and straightforward the programme is. The training makes it easy for teachers to pick up, while still giving students a solid foundation in how AI works.

Before starting AI lessons, I always ground learning in familiar examples, such as voice assistants, search engines, and design tools. This helps students see that AI isn’t abstract; it’s already part of their everyday lives.

Making ethics central

One of the biggest strengths of the Experience AI training, in my view, is its strong emphasis on ethics and critical thinking. Rather than presenting AI as something to trust automatically, it encourages students to question and evaluate the technology they use.

Young learners in the classroom using Experience AI resoruces

I want my students to understand that AI can be helpful, but it isn’t infallible and shouldn’t be relied on blindly.

For example, I’ve shown students how AI-generated search results can sometimes be inaccurate. It’s a simple but effective way to demonstrate why human judgement still matters. These kinds of discussions help students understand both the potential and the limitations of AI, reinforcing the idea that technology should support thinking rather than replace it.

Learning alongside colleagues

Beyond my own classroom, I’ve also used Experience AI training to support other teachers. As part of my role coordinating computing across schools in my region, I organised a cluster meeting for 20 computing leads from across Essex, Suffolk, and Norfolk.

The session gave teachers the opportunity to share experiences, explore how AI could be introduced in age-appropriate ways, and discuss how to embed ethical considerations across the curriculum. A Parent Zone trainer led the session and helped deepen our understanding.

Many computing teachers are still getting to grips with AI themselves. The training helped me feel more confident, and that’s something I’ve been keen to pass on to others.

Feeling inspired?

You can access all of our AI literacy and safety resources for free via the Experience AI website. Start exploring today and discover classroom-ready lesson plans, slide decks, and activities. 

Interested in joining the next group of teachers to be trained on Experience AI? If you’re a UK teacher, visit Parent Zone’s website to enrol in the next cohort of educators. Or if you’re outside the UK, visit our Partners page to find out about teacher training sessions in your country.

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Beyond content: helping teachers feel ready to teach AI

Post Syndicated from Catarina Marques original https://www.raspberrypi.org/blog/beyond-content-helping-teachers-feel-ready-to-teach-ai/

We are working with partner organisations around the world to support teachers in building confidence with AI in the classroom through our Experience AI programme. In this guest post, Catarina Marques from our partner TUMO Portugal shares what the organisation is learning from delivering training to educators.

Whenever we run Experience AI training sessions, we keep coming back to the same thing: teachers are not lacking interest in AI, what they are lacking is time. Time to explore the technology and tools, time to talk about them with colleagues, and time to work out what they really mean for their classrooms.

A group of people sat around a table with laptops.

And that matters, because AI is not something schools can just put off until later. It is already here. Students are hearing about it, using it, and forming opinions about it. Teachers are being asked to respond to it now, often while still trying to make sense of it themselves.

More than delivering content

The Experience AI teacher training is about more than educators to a set of resources. It is about helping them feel truly ready to take the Experience AI resources into the classroom and use them effectively with their students.

A group of people sat around a table with laptops.

What we see again and again is that teachers need space to stop and think. AI is moving quickly, and schools do not always have the time or support to keep pace. New tools are developed all the time. Expectations keep shifting. There is a lot of noise, and not always much room to pause and ask: what is actually useful here? What do we need to understand better?

In our experience, that is where real learning starts: not in rushing through information, but in discussing it, debating it, and testing ideas together.

Listening matters

One of the most valuable parts of these training sessions is the part where teachers start talking to each other.

They bring real questions into the room. Which AI tools can actually help with their work? How should they think about ethics? How do they talk about AI safety with students? How do they respond to something that may feel both useful and worrying at the same time?

A group of people sat around a table with laptops.

There is often confusion, and sometimes there is resistance too. That makes sense; this is still new territory for many schools. But there is also a real appetite to learn, especially because support in this area can still feel limited.

That is why listening is such an important part of our training. Teachers need space to reflect, compare experiences, and hear how others are approaching the same challenges. Very often, understanding grows through that process.

Play helps

Another thing we feel strongly about is that the training has to be engaging.

AI can feel intimidating. If the atmosphere is too heavy, it can be easy for people to step back from it. That is why the hands-on and playful side of Experience AI is so important. Team activities, discussion, and even a bit of healthy competition change the energy in the room. People get involved. They relax. They start exploring instead of worrying about getting everything right.

A group of people sat around a table with laptops.

That matters for teachers, and it matters for students too. When teachers experience this kind of learning for themselves, it becomes easier for them to imagine creating it in their own classrooms. Play is not separate from the learning here — it is part of what makes it stick.

Preparing schools for now

For us, this work feels urgent. Schools need the language, confidence, and literacy to engage with AI now, not in a few years’ time.

A group of people standing with laptops.

What teachers need most is not endless hype or more pressure. They need time to explore, time to discuss, time to understand, and time to build confidence. Experience AI has offered a way to begin that process.

If we want young people to engage critically and confidently with AI, we have to start by giving teachers the chance to do the same.

If you want to find out more about Experience AI, visit our website experience-ai.org

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Why localisation matters for AI literacy: Lessons from Uzbekistan

Post Syndicated from Rehana Al-Soltane original https://www.raspberrypi.org/blog/why-localisation-matters-for-ai-literacy-lessons-from-uzbekistan/

Experience AI has grown into a global effort to build AI literacy in schools, supporting educators and young people around the world to better understand and critically engage with AI technologies. We recently brought Experience AI to Uzbekistan through a new collaboration with UNICEF.

Together, we are integrating Experience AI into the Tinkering with Tech programme, which supports Uzbekistani educators and learners to develop 21st-century skills, including computational thinking, and digital and AI literacy skills.

As one of the Learning Managers on the Foundation’s AI literacy team, I travelled to Uzbekistan to lead the AI literacy part of the programme, working closely with local trainers and educators and introducing them to Experience AI.

Experience AI training in action

On the plane to Tashkent, Uzbekistan, I found myself wondering about the level of engagement with AI tools among teachers and educators in Uzbekistan: how interested are teachers and students in AI technologies? Are they more excited or hesitant about AI technologies?

My questions were answered within minutes of the start of the training session in Tashkent. The teachers and trainers, who had travelled from cities and rural areas across the country, were enthusiastic, inquisitive, and already experimenting with AI technologies in their daily lives.

The training session created space for educators to deepen their understanding of both technical concepts like classification and accuracy, but also ethical considerations, including data representation, bias, and the implications of inaccurate AI tools.

One particularly powerful example of how AI systems can be inaccurate came from a trainer who shared video footage from a local cattle market, where an AI tool classifies animals and monitors traffic. In the video, a human was misclassified as a horse, and a goat misclassified as a human.

While the example was funny and showed a harmless error, it quickly became a meaningful learning opportunity. Together, we used it to have a wider discussion around the implications of these errors. For example, what happens when AI tools fail in higher stakes situations? Would we trust a self-driving car that might misclassify a person in a long, dark coat as a lamp post, or a child in an orange-and-white coat as a traffic cone?

Localisation and representation

Working closely with the partners and trainers, we used localised examples in the training to explore other AI literacy concepts, particularly representation and bias.

In one activity, we used an AI tool to generate an image of Gulistan, a beautiful city in eastern Uzbekistan. The result sparked a range of reactions — while Gulistan is known for its flat landscape and mosques, the AI-generated image showed mountains and churches.

An AI-generated image using Artguru.

This led to a rich discussion about how AI systems represent places and cultures, and what it means when those representations are inaccurate. I asked them: why did the tool produce this image? What data might the underlying model have been trained on? And how do these inaccuracies shape perceptions, especially for those unfamiliar with the place being represented?

This example resonated strongly with the trainers, particularly because it reflected their own context. After a short break, I returned to find everyone still engrossed in a deep discussion around the lack of neutrality of AI tools, and what that meant for them, their students and communities. As one trainer reflected, “I have changed my mind about AI and now I have a better understanding of it.”

Adapting to global classrooms

Spending time with educators in Uzbekistan was also a reminder that classrooms are far from uniform. In some Uzbekistani settings, learners have access to laptops and interactive whiteboards; in others, teaching happens with limited electricity, lower levels of digital literacy, or shared devices among many students.

As we continue to expand Experience AI globally, localisation remains crucial. From South Africa to Saudi Arabia, and from Ukraine to Uzbekistan, flexible, context-aware resources are key to ensuring that all learners have the opportunity to develop a meaningful and critical understanding of AI.

In our ongoing collaboration on the Tinkering with Tech programme with UNICEF, the Micro:bit Educational Foundation, and Arm, we’re supporting teachers to develop the confidence and skills they need to teach AI in ways that are engaging, relevant and grounded in real-world contexts for their students. Together, we aim to equip young people with the knowledge and confidence to shape how these technologies affect their lives and communities.

For more information about Experience AI, visit our website, experience-ai.org.

About Tinkering with Tech and AI: UNICEF is co-developing new learning materials, enhancing AI literacy, and scaling the Tinkering with Tech and AI initiative to reach more learners and education systems worldwide. The initiative benefits from the continued strategic support from Arm and the Government of Finland, along with technical partners the Raspberry Pi Foundation and Micro:bit Educational Foundation. Learn more here.

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Experience AI: Reaching millions of young people with AI literacy

Post Syndicated from Anna Burton original https://www.raspberrypi.org/blog/experience-ai-reaching-millions-of-young-people-with-ai-literacy/

AI is shaping the world young people are growing up in, and understanding how it works, as well as its benefits and risks, is now essential.

That’s the goal of Experience AI, our global education programme created in collaboration with Google DeepMind. Today, as we celebrate three years of the programme, we’re sharing our latest impact report, highlighting how the programme is helping educators and young people around the world build the knowledge and confidence to engage with AI critically and responsibly.

From tens of thousands of educators to millions of learners

Since launching 3 years ago in April 2023, Experience AI has grown into a truly global initiative:

  • More than 30,000 educators trained, who can reach an estimated 2.9 million young people
  • Over 700,000 resource downloads across 180+ countries
  • A network of partners in 38 countries
  • Resources available in 19 languages
Infographic

These numbers reflect the growing global demand for AI literacy teaching, and the power of partnerships to meet that need.

But the real impact is what happens in classrooms.

From “AI is complicated” to confident teaching

For John Pierce, a teacher at Mwingo Academy Primary School in Kenya, AI once felt out of reach. “I thought that AI was complicated — maybe a puzzle”

John Pierce, a teacher at Mwingo Academy Primary School in Kenya

After taking part in Experience AI training, John’s perspective shifted. With structured lessons and ready-to-use resources, he now helps his students see AI as something they can understand and engage with.

“My learners are really enjoying the lessons… They keep asking, ‘Teacher, when are you having computer classes?’”

John’s experience reflects what we see across the programme: when teachers feel confident, students become curious, engaged, and motivated to learn more, often continuing those conversations beyond the classroom.

Building confidence, not just knowledge

A core focus of Experience AI is supporting educators, many of whom are new to teaching AI concepts. Our evaluation shows this approach is working:

  • 93% of educators say the training increased their knowledge of AI concepts
  • 87% report increased confidence in teaching AI

In Malaysia, educator Lee Siew Ling had previously struggled to explain AI concepts clearly. “Before this, I just shared simple examples… It was too hard to explain the concepts clearly to my students.”

Lee Siew Ling, educator in Malaysia

With Experience AI resources, that changed. “The materials make it easier to teach AI… After using them, I became more confident to guide my students.”

By reducing preparation time and providing clear, structured lessons, the programme enables teachers to focus on what matters most: supporting their students’ learning.

Helping young people understand, and question, AI

The impact extends directly to learners. Across classrooms worldwide:

  • 89% of students say they better understand what AI and machine learning are
  • 87% say they better understand the benefits and risks of AI

This is critical. AI literacy isn’t just about using technology, it’s about understanding how it works, questioning it, and recognising its societal impact.

Kim Williams, Head of Computing, at Wymondham College in the UK

At Wymondham College in the UK, Head of Computing, Kim Williams highlights the value of having trusted, research-informed resources: “Experience AI gave us a real structure to follow… It helps us deal with misconceptions and gives students the right messages.”

Through these lessons, students are not just learning about AI, they are developing the critical thinking skills they need to navigate a world shaped by it.

A global effort to democratise AI education

Experience AI’s reach is only possible through collaboration. Working with partners around the world, we localise content to make it relevant to different cultures and contexts, ensuring that AI education is not only accessible, but meaningful.

At the award ceremony of the 2025 UNESCO King Hamad Bin Isa Al-Khalifa Prize. © Government of the Kingdom of Bahrain

This work has also been recognised globally. In 2025, Experience AI was named a laureate of the UNESCO King Hamad Bin Isa Al-Khalifa Prize for the Use of ICT in Education, highlighting its strong ethical foundations and international impact.

Looking ahead

We’re continuing to expand and evolve the programme, updating resources, developing new materials for different age groups, and growing our global partner network.

By the end of 2026, we expect to reach over 45,000 educators who can reach an estimated 4.4 million young people.

Because the challenge is clear: AI literacy should not be limited to a few. Every young person deserves the opportunity to understand and shape the technologies influencing their future.

Read the full Experience AI impact report to explore the data, stories, and insights behind this work. rpf.io/expai-impact

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Bringing AI education to 1.25 million students across Latin America

Post Syndicated from Anna Burton original https://www.raspberrypi.org/blog/bringing-ai-education-to-1-25-million-students-across-latin-america/

We’re excited to share that we are expanding our Experience AI programme across Latin America with the aim of training 24,000 educators and reaching 1.25 million students by 2028, thanks to generous funding of $4.6 million from Google.org.

Working with education partners across Argentina, Brazil, Chile, Colombia, Dominican Republic, El Salvador, Mexico, Peru, and Uruguay, we will help young people develop a foundational understanding of AI technologies, their social and ethical implications, and the role that AI can play in their lives.

AI literacy across the globe

AI systems are part of everyday life in how we find information, work, and solve problems. We think that young people need more than access to AI tools: they need the knowledge, skills, and confidence to understand and create their own AI tools.

Experience AI, developed in partnership with Google DeepMind, is a free educational programme that helps teachers and students learn about artificial intelligence (AI). It introduces young people to how AI systems work and how they are used in everyday contexts through lessons, classroom resources, and hands-on activities. The resources give young people opportunities to think critically about the role of AI in society.

The winners of the 2025 UNESCO King Hamad Bin Isa Al-Khalifa Prize.
The winners of the 2025 UNESCO King Hamad Bin Isa Al-Khalifa Prize. © Government of the Kingdom of Bahrain

Through a global network of Experience AI partners, we have so far reached an estimated 2.9m young people and trained 30,000 educators. The programme’s resources are used in more than 180 countries and are available in 19 languages. In recognition of its impact, Experience AI was named a laureate of the 2025 UNESCO King Hamad Bin Isa Al-Khalifa Prize for the Use of ICT in Education.

Impact through partnerships

In Latin America, as in other parts of the Experience AI network, our focus will be on sustainable, locally led delivery through partner organisations. Using our established ‘train-the-trainer’ model, we will equip 24,000 educators with the skills and knowledge to use the Experience AI resources to confidently deliver AI literacy lessons. 

Educators at a workshop

Our aim is to create a lasting impact for teachers and classrooms across the region and ensure that high-quality AI education is accessible to young people in a wide range of settings.

Supporting critical thinking

Experience AI is designed not only to build technical understanding, but also to help young people think critically about AI and its impacts.

Three teenage girls at a laptop.

Through the programme, students across Latin America will develop a foundational understanding of how AI works, while exploring key topics including how data is used in AI systems, how to identify AI-generated misinformation, and how to use generative AI tools responsibly. This will help them to understand the opportunities and challenges of AI, and to make informed decisions about how they use these technologies.

Looking ahead

As AI systems are being built into many aspects of today’s world, it’s essential that young people have the opportunity to understand, question, and build with these technologies.

With support from Google.org, we will expand access to high-quality AI education across Latin America through Experience AI, helping over a million young people develop the skills, knowledge, and confidence to navigate and shape a world where AI technologies are widely used.

You can find out more about Experience AI at experience-ai.org.

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Helping young people stay safe online in the age of AI

Post Syndicated from Rehana Al-Soltane original https://www.raspberrypi.org/blog/helping-young-people-stay-safe-online-in-the-age-of-ai/

The online world that young people navigate today is different from the one we encountered just a few years ago: the search engines, social media platforms and digital tools they use to find information, interact with friends and complete schoolwork are now deeply embedded with AI technologies. 

Experience AI Safety Image

While the core aims of online safety education remain the same, the scope must now expand to include AI literacy: the ability to use, question and navigate AI tools so young people can make responsible choices online.

This is a shared challenge for anyone who supports young people as they navigate the online world: parents and carers, youth leaders and volunteers, and educators across all subjects. Many young people use these AI tools independently, often without guidance, so having open and useful conversations about trust, risk and responsibility matter just as much in the classroom as they do at dinner tables and Code Clubs.

Why AI literacy is essential for staying safe online

At the Raspberry Pi Foundation, we have developed various AI literacy resources for educators, club leaders and parents to address this challenge in age-appropriate and practical ways. Our ‘AI safety’ resources, part of our Experience AI programme, are a set of free comprehensive teaching activities to support you in educating young people aged 11–14 in navigating key safety issues linked to AI, including privacy, misinformation, trust and responsibility. Delivered through videos, unplugged activities and discussions, the activities are adaptable to a range of learning settings, and reflect the real decisions young people are already making online.

Experience AI safety image

For example, in the ‘Trusted Sources’ activity from the ‘Media literacy in the age of AI’ lesson, young people reflect on the ways they look for information related to schoolwork, news and in their free time. They consider which sources are likely to allow the use of generative AI and how that affects their trustworthiness. Rather than labelling sources as ‘good’ or ‘bad’, learners explore questions around responsibility, credibility and oversight, and build practical skills for fact-checking and staying safe online.

Supporting responsible use of generative AI through Experience AI

Alongside the ‘AI safety’ resources, we have also developed a new ‘Large Language Models (LLMs)’ unit for learners aged 11–13 and 14–17, currently being tested in classrooms. The unit focuses on another important aspect of online safety: how young people interact responsibly with AI tools that generate content. While helpful, learners’ uncritical use of these tools could lead to cognitive offloading and limit the development of their higher-order thinking skills. The confident, persuasive tone of LLMs can also make it harder for young people to judge accuracy, recognise bias or notice missing information in outputs. 

Experience AI safety image

To support the critical thinking skills that are essential for staying safe online, the new LLM unit includes research-informed lessons that explore how LLMs are created, why their outputs are not always accurate and how to evaluate AI-generated responses. The unit also encourages learners to reflect on when using an LLM is helpful to their learning, when it is not, and how they can remain in control of their own thinking, learning and skills development.

Starting the conversation this Safer Internet Day

Helping young people stay safe online in the age of AI doesn’t require having all the answers. Instead, it’s about creating the space to pause, question, and think critically about what they are encountering online. Through carefully designed, research-informed and pedagogically aligned AI literacy resources, we aim to help you start the conversations that empower young people to think critically, stay curious and remain in control of their learning and online lives. 

Experience AI safety image

This Safer Internet Day, we invite educators, parents and anyone who supports young people to explore our AI literacy resources and start the conversation. Visit the Experience AI website for more information.

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Play, pedagogy, and real-world impact: What we learned from the AI Quests webinars

Post Syndicated from Liz Eaton original https://www.raspberrypi.org/blog/play-pedagogy-and-real-world-impact-what-we-learned-from-the-ai-quests-webinars/

Photo of two adult educators sitting around a table with a group of young people playing AI Quests.

How do you teach AI in a way that resonates with 11- to 14-year-olds long after the lesson ends? In two recent Experience AI webinars, we explored that question with collaborators from Google Research, Google DeepMind, and the Stanford Accelerator for Learning. During the webinars, we also showcased AI Quests, a gamified, classroom-first experience where learners use AI concepts to solve real problems.

“The AI technology you’ll experience is amazing, but it’s not magic. Success depends on the decisions you make.”

That line, delivered by Professor Sky, the in-game mentor, captures the core message of AI Quests: AI systems are built by people and shaped by human judgment at every step.

What is AI Quests?

We’ve embedded AI Quests into the Foundations of AI unit in Experience AI, our free AI literacy programme created with Google DeepMind. 

As Google Research’s Liat Ben Rafael explained, “AI Quests is a gamified experience… where students discover firsthand how AI is used in the real world to create positive impact.” Each quest is grounded in a real research programme and mirrors the AI project lifecycle you’ll recognise from our Experience AI lessons: define the problem, prepare data, train, test, deploy.

Photo of a young person playing AI Quests on a laptop. The AI Quests character Luna, can clearly be seen on the young person's screen.

The first quest, Market Marshes, asks students to help Luna, one of the central characters, to protect a riverside market from flooding. Players roam, gather candidate data (from rainfall stats to town gossip), clean it, choose relevant features, and train a model. If the model underperforms, they iterate, exactly as real AI developers would.

Emma Staves, Learning Manager at the Foundation, notes that a key moment is when learners test their model: “It’s made really clear that the data that’s being used to test the model is historic data.” That simple design choice can help you to unlock rich discussions with your learners about validation, reliability, and what counts as “accurate enough” for real decisions.

Designed around how students actually learn

Developed in collaboration with learning scientists at the Stanford Accelerator for Learning, the quests reflect what Victor Lee, Faculty Lead for AI and Education at Stanford, describes as “enduring understanding”:

“The enduring understanding is about how humans can initiate and design AI applications that can address some of humanity’s biggest unsolved challenges.”

To keep that focus, the team blends:

  • Situated learning – for example, a concrete flood scenario rather than abstract exercises
  • Pedagogical agents – characters who nudge, model, and explain
  • Embedded feedback and productive failure – learn by trying, revising, and trying again
  • Self-explanation prompts – ‘learning tickets’ that ask students to articulate what they’re doing and why

In other words, the quests are all about playing with purpose.

What teachers are seeing in the classroom

We piloted AI Quests with some teachers, including Dave Cross, Curriculum Leader for Computer Science at North Liverpool Academy, who tested the quests with his Year 7 students, before extending it to his GCSE classes:

“We see it moving forward as a really solid foundation… for that further learning.”

He also saw strong cross-curricular ties: geography colleagues spotted “massive opportunities” to use the flood quest in their own units, while broader staff discussions turned to digital citizenship, data literacy, and fairness. The cross-disciplinary nature of AI is increasingly apparent, and so AI literacy shouldn’t be limited to computing — students need to encounter AI across multiple subjects and in everyday life.

Where the research comes in: Forecasting floods days in advance

Graphic of the flooded marketplace from the Market Marshes quest on AI Quests.

The second webinar connected the classroom experience to the real project it’s modelled on: Google Research Flood Forecasting. Gila Loike, Product Manager, set the scene:

“Our research team develops AI models that predict flooding all over the world, five to seven days before the flood occurs.”

Deborah Cohen, the Research Scientist leading the team at Google Research focused on flooding, also explained that traditional models can’t easily predict floods in places with little data. However, AI can fill those gaps by combining information from rivers, weather forecasts, and satellites, to give accurate warnings around the world:

“With AI we were able to expand our coverage to the entire world.”

The results are real and practical. Accurate predictions help:

  • People stay safe by receiving flood alerts through familiar apps
  • Emergency teams plan routes and close roads in time
  • Farmers decide whether to move animals or harvest early
  • Aid organisations act sooner, delivering supplies or financial support before the flood hits
Graphic from the Market Marshes quest on AI Quests.

To make sure their models work well, the team compares predictions with real river data, where available, and with satellite images showing flooded areas. Students explore these same ideas in the AI Quest game, cleaning messy data, testing their models, and checking how accurate their results are.

“Students are really engaged by the real-world challenge,” said Emma Staves about the Market Marshes quest. “That authenticity makes learning come alive.” It helps students see how classroom ideas, like features, accuracy, bias, and model cards, connect directly to real decisions and their consequences.

Coming soon: Health quests and more languages

Graphic from the second AI Quests.

Liat also gave a sneak peek at the next quest, a health-focused story on blindness prevention. It introduces new layers — privacy, diverse data, field testing — while following the same lifecycle. More quests are in development, with additional languages planned from early 2026.

Why this matters now

The key message from both webinars is clear: AI literacy isn’t just about using technology — it’s about understanding our role in shaping it. As one Stanford researcher put it, “AI isn’t this magic thing that just happens to us. Humans decide how to use it, and how choices around data affect accuracy and fairness.”

Our goal with Experience AI is to help young people become thoughtful, creative problem-solvers who can navigate an AI-powered world with confidence and integrity — and AI Quests fits perfectly with that.

Find out more

You can watch both webinars anytime on our YouTube and LinkedIn channels

Webinar 1: LinkedIn, YouTube
Webinar 2: LinkedIn, YouTube

Explore our Experience AI resources — already used by nearly two million learners and educators to understand, question, and create with AI — to bring them and AI Quests into your classroom. You’ll find the Foundations of AI unit, alongside materials on large language models, ecosystems and AI, and AI safety, at rpf.io/experienceai-resources

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Experience AI receives global recognition from UNESCO

Post Syndicated from Philip Colligan, CBE original https://www.raspberrypi.org/blog/experience-ai-recognition-unesco/

I am very proud to share the news that Experience AI has been recognised as a laureate for the 2025 UNESCO King Hamad Bin Isa Al-Khalifa Prize for the Use of ICT in Education.

The winners of the 2025 UNESCO King Hamad Bin Isa Al-Khalifa Prize.
At the award ceremony of the 2025 UNESCO King Hamad Bin Isa Al-Khalifa Prize. © Government of the Kingdom of Bahrain

What is Experience AI?

Experience AI is a free educational programme that helps teachers and students learn about artificial intelligence (AI). It was developed by the Raspberry Pi Foundation in partnership with Google DeepMind and includes lessons, classroom resources, and hands-on activities to help students develop a foundational understanding of AI technologies, their social and ethical implications, and the role that AI can play in their lives.

It is based on original research into AI literacy and highlights real-world applications of AI technologies, including through videos featuring research scientists that help to bring the lessons to life for students. 

A group of students and educators at Penang Science Cluster's launch of Experience AI in Malaysia.
A group of students and educators at the launch of Experience AI in Malaysia.

Since we launched the first Experience AI resources in April 2023, they have been used to teach over 2 million students, and that number is growing fast. 

This reach is possible thanks to a global network of Experience AI education partners who work with us to localise and translate the resources and deliver large-scale teacher training in their regions. 

UNESCO recognition

Experience AI was one of four laureates of the prestigious global Prize selected by the Director-General of UNESCO, based on recommendations from an independent, international jury. The jury commended the programme for its strong ethical foundation and wide international reach. 

This year, marking its 20th anniversary, the Prize focused on the theme ‘Preparing learners and teachers for the ethical and responsible use of artificial intelligence’.

Students in class during an Experience AI lesson.
Romanian students in class during an Experience AI lesson.

The Prize was awarded at a ceremony at the University of Bahrain attended by the Director-General of UNESCO, Ministers of Education of the Gulf Cooperation Council, and members of the Raspberry Pi Foundation and Google DeepMind teams.

I want to say a heartfelt congratulations and thank you to everyone who has worked on Experience AI so far. It has been a fantastic, collaborative effort from colleagues across the Foundation, Google DeepMind, and all of our partner organisations. 

I also want to pay tribute to all of the teachers — all over the world — who have engaged so enthusiastically with Experience AI, for helping us develop the materials, including testing them in your classrooms and providing such thoughtful feedback, and for everything you do, every day, to inspire your students. This recognition is for all of your hard work, diligence, and care. Congratulations and thank you.

Teachers in Kenya during an Experience AI teacher training event.
Teachers in Kenya during an Experience AI teacher training event.

Experience AI is provided at no cost to schools, teachers, or students thanks to generous funding from Google.org. We are also very grateful to Broadcom Foundation, which has provided additional funding to support the programme. 

What next for Experience AI? 

We are exceptionally proud to have received this recognition for Experience AI, but we aren’t complacent. Equipping all young people, and their teachers, with a foundational understanding of AI technologies is one of the most urgent challenges facing all education systems.

We have made a great start, and we know there is much more to be done. That’s why we have lots of important updates and developments coming soon, including: 

  • Updating and improving the current lessons: We are finalising an update to the resources to respond to feedback from teachers and students, including significant improvements to make them more accessible. These will be published early in 2026. 
  • Expanding the range of lessons: Alongside the updates to the existing resources, we are developing new lessons. This will include lessons designed for both younger and older learners, as well as integrated lessons that enable teachers to bring AI concepts and skills into subjects such as science, language, and the arts. 
  • Updated and improved professional development: We are also updating and improving the training that we offer to teachers, including both online courses and webinars, and in-person training delivered through the global network of education partners. 
  • AI chatbot for educators: We recently integrated a chatbot into the Experience AI website. Powered by Gemini 2.5, this is intended as a tool to help teachers navigate and understand the concepts and lessons. This is an early experiment and we’d love to get your feedback, so please give it a try and let us know what you think. 
  • Expanding the global network of partners: We currently have partners supporting teacher professional development in 25 countries, from Malaysia to Mexico. Over the coming year we will be launching partnerships in at least 15 more countries. If your organisation is interested in becoming a partner, you can let us know by filling in this form.

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Introducing AI Quests: A new gamified learning experience within Experience AI

Post Syndicated from Liz Eaton original https://www.raspberrypi.org/blog/introducing-ai-quests-a-new-gamified-learning-experience-within-experience-ai/

Artificial intelligence (AI) tools are shaping our world in many ways. Helping young people develop AI literacy — in other words, helping them understand how AI tools work and how to use them responsibly — is essential. 

At the Raspberry Pi Foundation, we’re committed to empowering educators around the world with everything they need to teach AI confidently and help young people develop AI literacy. That’s why we developed Experience AI: a set of high-quality AI literacy resources designed in collaboration with Google DeepMind that any educator can use, no matter their level of tech knowledge.  

AI Quests

We’re excited to introduce a new addition to the Experience AI resources: AI Quests.

Enter AI Quests

Developed by Google Research in collaboration with the Stanford Accelerator for Learning, AI Quests is a browser-based learning experience that lets students step into the role of AI researchers. Through interactive, story-driven activities, they’ll explore essential AI topics such as:

  • Data preparation
  • Testing and evaluation
  • Bias in AI systems

Students will use what they learn about these topics to tackle simulated global challenges. The first quest, Market Marshes, introduces them to how AI technology can be used in flood forecasting, while upcoming quests will explore other real-world issues.

Why AI Quests matters

AI technology is frequently used but often poorly understood. AI Quests, like Experience AI more broadly, gives students practical experience of how AI technology works, and shows why it’s so important. 

Market Marshes AI Quest start screen

Here’s what sets AI Quests apart:

  • Gamified learning: Storytelling and role play turn abstract ideas into immersive experiences
  • Real-world relevance: Students see how AI technology addresses challenges like climate resilience and health equity
  • No prior knowledge required: Any teacher, regardless of subject specialism, can bring AI Quests into their classroom
  • Developed by experts: Built with Google Research and the Stanford Accelerator for Learning, content is high-quality and credible

What’s next

AI Quests is launching in English, with future plans for translations and additional quests to reach even more learners globally.

To support educators, we’re also hosting two free webinars on YouTube and LinkedIn:

  • 9 October at 4pm BST
  • 16 October at 4pm BST
AI Quests, search for data mid game screen

These sessions will walk you through AI Quests, offer classroom tips, and give you the chance to ask questions directly.

Register now on LinkedIn or subscribe on YouTube to get notified and join the live session. 

Ready to get started?

AI literacy is one of the most valuable skills young people can develop today. With this new addition to Experience AI, we’re making it even more engaging, practical, and accessible for classrooms everywhere.

Explore AI Quests in lesson 6 of our Experience AI resources.

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Teaching Experience AI: Lessons from educators in Mexico

Post Syndicated from Liz Eaton original https://www.raspberrypi.org/blog/teaching-experience-ai-lessons-from-educators-in-mexico/

In classrooms across Mexico, a transformation is unfolding. The Experience AI programme isn’t just teaching students about artificial intelligence, it’s empowering teachers and learners to explore, question, and create with it. By equipping educators with accessible tools and sparking curiosity among students, the initiative is shaping a new generation ready to use AI responsibly and creatively.

Teacher at the front of the classroom

Educators like Guadalupe Cortes, Lilia Violeta Garvia Sanchez, Ines Martinez, and Ana Judith Zavaleta are at the forefront of this shift. Their experiences reveal just how transformative Experience AI has become.

From fear to fascination: Demystifying AI

For many, AI can feel abstract, something from science fiction. Science and math teacher Lilia Violeta Garvia Sanchez remembers that both she and her students once viewed AI as “robots that would take over the world.” Fear gave way to fascination, however, once Experience AI entered the classroom.

Through hands-on lessons, students quickly discovered AI as a practical tool rather than a threat. “I’ve seen a change in the students,” Lilia explains. “They were afraid at first, but now they’re curious and engaged.”

Technology teacher Ines Martinez admits she was also surprised: “I thought the language would be more technical or complex, but it was pleasantly accessible — and very useful.”

Equipping educators with tools that work

A defining strength of Experience AI is its adaptability. Teachers can tailor materials to fit their classrooms while still leaning on the program’s robust foundation.

Guadalupe Cortes points to the built-in glossary as a game-changer: “It was really helpful for me.” She values being able to choose what fits her teaching to keep it relevant: “I selected certain parts to connect with projects I was already running.”

Sparking critical thinking and ethical awareness

Experience AI pushes students to think deeply about the ethics and implications of AI.

In Ines’s class, students raised concerns about water use in data centres and debated how to protect their digital identities. They weren’t just learning facts, they were making connections to real-world issues.

Educator supporting young learner in the classroom

Another teacher, Ileana Beurini, described an exercise where students asked different AI models the same political question. When answers varied, they discussed bias and the importance of consulting multiple sources. In another activity, searching images of “worker” led to a conversation about gender equity in technology.

As Ines puts it: “They don’t want it to do all the thinking for them. They said it should be a support — a tool to generate better information, not to replace reasoning or reflection.”

Transforming engagement and performance

The impact on student motivation has been striking. For Ana Judith Zavaleta, the shift was clear: “They’re much more hands-on now — they don’t rely as much on textbooks or theory.” One student who typically struggled academically became one of the most enthusiastic participants, even passing where he previously failed.

Guadalupe Cortes has seen similar enthusiasm: “They’re finding a real purpose in using AI for their own benefit.” At an entrepreneurship fair, her students applied AI concepts to improve their projects, proof that these lessons extend far beyond the classroom.

A call to action for educators

The teachers’ message is unanimous: embrace AI.

“We should give it a try,” urges Lilia. “Just because we’re teachers doesn’t mean we have to know everything. The world is evolving every single day, and we need to innovate with our students so they feel motivated to keep learning.”

Young learners work on the classroom wall

For Ines, the takeaway is simple but powerful: “Take the risk — really, take the chance to learn. Just like the internet became essential, AI will become part of our daily lives and necessary for all areas of teaching — and life itself.”

More than just a set of resources

Experience AI is more than a set of resources, it’s a movement preparing students to navigate the future with curiosity, critical thinking, and ethical awareness. By igniting minds in Mexico, it’s helping to cultivate responsible digital citizens who will shape not just their classrooms, but the world beyond them.

For more information about Experience AI, visit our website: rpf.io/experienceai

For more information about our global Experience AI partner in Mexico, visit: educacionparacompartir.org

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Hello World podcast: What does AI education look like around the world?

Post Syndicated from Liz Eaton original https://www.raspberrypi.org/blog/hello-world-podcast-what-does-ai-education-look-like-around-the-world/

In a rapidly evolving digital landscape, AI literacy is becoming as fundamental as traditional reading and writing. The latest episode of the Hello World podcast explores this crucial topic, bringing together experts from Kenya, Lithuania, and Malaysia to discuss the current state of AI literacy in their countries. Together, they shed light on the challenges and immense potential of AI education globally.

HW Podcast Thumbnail: AI education: Global perspectives

This episode features a conversation led by Ben Garside (Raspberry Pi Foundation), with contributions from Leonida Soi (Raspberry Pi Foundation, Kenya), Aimy Lee (Penang Science Cluster, Malaysia), and Monika Katkutė-Gelžinė (Vedliai, Lithuania). All are key collaborators in the Raspberry Pi Foundation’s AI literacy programme, Experience AI.

Watch here

The digital literacy gap

One of the most striking takeaways from the conversation is the universal excitement surrounding AI, coupled with a significant need for foundational digital literacy. As Leonida explains:

“There’s an excitement about AI literacy, both from the learners and the teachers… However, one thing to look into is, we still have low digital literacy. As much as we are bringing in AI, if it is not bundled up together with digital literacy, then there is also misuse.” 

Leonida Soi, Learning Manager, Raspberry Pi Foundation

This highlights a crucial point: simply introducing AI tools isn’t enough. A solid understanding of digital fundamentals is essential for responsible and effective use of AI.

Different contexts, shared challenges

The discussion also reveals the varying approaches to AI education in different countries. Monika shares her experience in Lithuania:

“We’ve been teaching AI for the last 5 years… I see a lot of opportunity in it, but a lot of challenges not to overburden teachers with the noise and changes.”

Her insight highlights the ongoing need for teacher training and sustainable pedagogical strategies, particularly in a field that evolves so quickly.

AI literacy beyond computer science

A key theme throughout the podcast is the importance of integrating AI literacy beyond traditional computer science classrooms. As Leonida emphasises:

“It’s time that AI literacy is looked at from a broader view, not just in computing… something that cuts across all the learning areas.”

This sentiment is echoed by Monika, who suggests:

“I feel like the entire education system needs to go through an AI filter and come out of it with a bit more efficiency, with a bit more understanding, so it lives in a 21st-century AI world. And I see AI as a form of, you know, building and also as a co-worker for everyone in the future.”

Monica Katkute-Gelzine, Vedliai, Experience AI global partner, Lithuania.

The vision of AI as a “co-worker” for all, empowering young people rather than replacing them, offers a powerful perspective for future education.

Addressing the digital divide

Equity is another critical issue, particularly in rural areas. Aimy highlights the ongoing challenge of access:

“The digital divide is in the access to devices, as well as access to high-speed internet connections… but the other thing is also in terms of trained teachers as well.”

Leonida adds that in Kenya there’s a need for unplugged activities to give students an idea of what the world is doing, so that we can start to bridge that gap.

These insights highlight the need for equitable access and innovative teaching methods to ensure no one is left behind.

Encouragement for educators: start small, support each other

For teachers who might feel overwhelmed by the prospect of teaching AI, the advice is clear and encouraging. Aimy suggests:

“Start small, cover one topic at a time, one concept at a time. Don’t feel the need to cover everything all at the same time.”

Aimy Lee, Penang Science Cluster, Experience AI global partner, Malaysia.

Leonida advocates for the power of community, suggesting a “community of practice where [teachers] can share amongst each other and where they can encourage others.”

Building a network of support and shared resources is key as educators take their first steps into teaching AI.

Listen now

This episode of the Hello World podcast is a powerful reminder that AI literacy is not just a skill, but a mindset that needs to be nurtured across all subjects and communities. It also underscores that the commitment to prepare the next generation for an AI-powered world is global.

Listen to the full episode of the Hello World podcast to learn more about the global state of AI literacy and gain practical insights for your classroom.

Listen to the full episode

Learn more about Experience AI

The Experience AI programme is a collaboration between the Raspberry Pi Foundation and Google DeepMind to help young people and educators understand and engage with artificial intelligence. Through free, classroom-ready resources, professional development for teachers, and global partnerships, the programme aims to make AI literacy accessible to all, regardless of geography or background. By supporting educators and inspiring students, Experience AI is helping to prepare the next generation to thrive in a world increasingly shaped by artificial intelligence.

Find out more about Experience AI and how it can support you to bring AI literacy skills to your learners.

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Igniting innovation: How Experience AI is empowering teachers and students across Kenya

Post Syndicated from Victor Murithi original https://www.raspberrypi.org/blog/experience-ai-is-empowering-teachers-and-students-across-kenya/

This blog post is written by Victor Murithi, Communications and Media Consultant at Young Scientists Kenya, one of our global partners for Experience AI in Kenya.

When over 100 teachers from across Kenya gathered at Kangaru High School in Embu County for the Kenya Science and Engineering Fair Nationals in April, few anticipated just how transformative a two-day workshop could be. Delivered by the Experience AI Young Scientists Kenya (YSK) team, with support from the Raspberry Pi Foundation, the training sparked more than curiosity — it sparked a shift in mindset.

This wasn’t just about introducing new tools: it was about empowering teachers to confidently lead their students into an artificial intelligence (AI)-driven future.

Students in a classroom learn about Experience AI.

National reach and local impact

What began as a plan to train just 40 teachers quickly grew into something much bigger. By the time the workshop kicked off, 104 teachers from over 80 schools across 37 counties in Kenya, had registered and participated — nearly tripling the initial target.

This overwhelming interest confirmed a powerful insight: teachers are eager to understand AI, not only to better prepare their students for the future, but also for their own professional growth.

The workshop’s curriculum didn’t just focus on technical skills, it aimed to create confidence, clarity, and community among the attendees — key ingredients for successfully integrating AI into teaching and learning.

“Helping teachers move past their fear of AI and understand its potential is incredibly powerful. Because AI is the future, and through this training, we’re reaching the minds that will shape it,” explained Lucy Mwaniki, AI Community Trainer at YSK.

Practical skills, real outcomes

As part of the training, the attendees completed interactive worksheets, tested basic machine learning models, and sat a final comprehension test, something they found both validating and motivational.

“We were able to do the summative test… which turned out to be a very effective way of us understanding how in-depth and how well they grasped the knowledge,” says Lucy Mwaniki.

In one standout session, teachers collaboratively brainstormed ways AI could address national educational challenges. Ideas included models to assist students in selecting academic pathways within Kenya’s Competency Based Curriculum (CBC). Several teachers also successfully built working models, demonstrating the potential of applied learning. 

“It was a very eye-opening session… some of the teachers were able to create a very basic model, which was a wonderful experience for them,” Lucy Mwaniki explains. 

What made this training exceptional was its immediate applicability and long-term vision. By the end of two days, teachers weren’t just AI-aware — they were AI-ready, with many already starting to explore how AI tools could support entrepreneurship, lesson planning, and personalised learning pathways.

Students in a classroom setting; two of them are using a laptop to learn about AI.

Celebrating our achievements and impact 

At the close of the training, each teacher received a Certificate of Participation, recognising their commitment to professional development and their new capacity to bring AI into the classroom. The awarding of certificates added a sense of accomplishment and pride, reinforcing that teachers are key drivers of technological transformation in education.

And the impact of the training was measurable:

  • 95% of teachers agreed that the training increased their knowledge and confidence to teach AI concepts
  • 88% of teachers agreed that the training was high quality and useful for preparing them to teach the Experience AI lessons

But it doesn’t end there, as Vanessa Inziani, Head of Programs at YSK, explains, “Our commitment doesn’t end with the training — we continue to support educators with resources, mentorship, and follow-up to ensure success in delivering the program in the classroom.”

Looking ahead towards a promising AI journey

With the rapidly evolving digital landscape, AI is no longer a distant concept — it’s a present-day classroom necessity. Yet, introducing AI into schools isn’t just about technical literacy; it’s about confidence, clarity, and community and the approach the Young Scientist Kenya team and Experience AI delivered during the two-day training is anchored in this belief. 

As AI continues to shape the global education landscape, programs like Experience AI provide the bridge needed to equip teachers, inspire students, and future-proof education systems. The Kangaru High School session was not a one-off — it was a catalyst for systemic change. 

Experience AI is scaling. As it expands across Kenya and beyond, the benefits are clear:

  • Empowered educators who gain confidence and skills to integrate AI in their teaching
  • Future-ready students who grasp foundational AI concepts and their real-world applications
  • Sustainable impact as trained teachers go on to influence thousands of learners in their communities

The journey from fear to fluency starts with a single step, a willingness for us all to explore what’s possible. Together, we can equip educators, inspire students, and shape Kenya’s future, one AI-literate classroom at a time. 

About Experience AI

Experience AI is an AI literacy programme, co-developed by the Raspberry Pi Foundation and Google DeepMind, that teaches students aged 11 to 14 about AI and machine learning. Thanks to funding from Google.org, Young Scientists Kenya has partnered with the Raspberry Pi Foundation to provide free training to Kenyan educators, equipping them with the skills they need to effectively deliver the programme in their settings. They are one of two global partners working with the Raspberry Pi Foundation in Kenya.

You can find out more about the programme on our website: rpf.io/expai-ysk-blogpost

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Bridging the divide: Connecting global communities with Experience AI

Post Syndicated from Katherine Leadbetter original https://www.raspberrypi.org/blog/bridging-the-divide-connecting-global-communities-with-experience-ai/

From smart devices to workplace tools, AI is becoming part of everyday life and a major part of how people are thinking about the future — raising big questions about access, skills, and readiness.

As governments around the world create AI strategies for the decade ahead, many are seeing an urgent need to address the large gap between how AI tools are already impacting jobs and people’s lives, and making sure young people have the chance to gain the skills and knowledge to keep up with this rapid pace of technological change. This gap is larger still when it comes to opportunities for educationally underserved communities.

A group of students and educators holding an Experience AI poster.

That’s why we’re excited to share how Experience AI, our AI literacy programme, is helping organisations around the world create these much-needed opportunities for young people.

The value of a global network

Experience AI was co-developed in 2022 by us and industry experts at Google DeepMind with a clear mission: to equip teachers with free, accessible, easy-to-use classroom resources that build AI literacy from the ground up. The programme offers a suite of materials to help students understand real-world applications of AI, the basics of machine learning, and the ethical considerations around these technologies.

A picture of Philip Colligan delivering a talk.

In 2023, we started building an international Experience AI network by collaborating with a group of our existing educational partners. We saw a huge amount of interest and received very positive feedback, and through our partnerships we reached an estimated one million young people. In late 2024, with support from Google.org, we tripled the size of our Experience AI partner network to 21, with new organisations joining from across Europe, the Middle East, and Africa. In this way, we aim to reach an additional 2.3 million young people by December 2026, helping them to gain the knowledge and skills to confidently engage with AI in an ever-changing world.

Each partner in the Experience AI network is a unique educational organisation looking to create lasting social change. Through their local knowledge and networks, we can present Experience AI to educators and students in a way that is engaging and relevant for local communities. 

A group of students participating in an Experience AI session.

Partners help us to adapt and translate our resources, all while making sure that the core pedagogy and design principles of Experience AI are preserved. Just as importantly, these organisations train thousands of teachers on how to use the materials, providing educators with free support. With their work, they reach communities that otherwise may have never had the opportunity to learn about AI.

We asked some of our partners to share their insights on the impact Experience AI is having on the teachers and young people in their communities.

Building communities

The Latvian Safer Internet Centre (LSIC), an initiative of our partner, the Latvian Internet Association (LIA), is dedicated to helping young people protect themselves online, and to preparing them for a fast-changing digital economy. As an Experience AI partner, they aim to train 850 teachers and support 43,000 students to build a strong foundation in AI literacy through the programme.

“We hope to spark a cultural shift in how AI is […] taught in Latvian schools. Our goal is for AI literacy to become a natural part of digital competence education, not an optional extra.”

A woman is delivering a presentation about Experience AI.

Based in Riga, the team is travelling to 18 different regions across Latvia to bring in-person professional development to teachers, including those in rural communities far from major cities. By meeting teachers where they are, the LIA are creating invaluable networks for learning and support between communities. Through hands-on training, they are also supporting teachers to bring Experience AI into their own classroom, creating examples which are suited for their learners.

“We chose an in-person training model because it fosters a more collaborative and engaging environment, especially for teachers who are new to AI. Many educators, particularly those who are less confident with digital tools, benefit from direct interaction, real-time discussions, and the chance to ask questions in a supportive setting.” 

As an Experience AI partner, the Latvian Internet Association is not just delivering content but working to strengthen digital competency across the country and ensure that no teacher or student is left behind in Latvia’s AI journey. 

One teacher shares: “The classroom training was truly valuable: it gave us the chance to exchange ideas and reflect on our diverse experiences. Hearing different perspectives was enriching, and I’m glad we’re shaping the future of our schools together.”

“AI is for everyone”

EdCamp Ukraine’s mission is to unite educators and help them to grow. Operating from their main base in Kharkiv, near the Eastern border and the frontline of the ongoing war in Ukraine, they see AI as both a tool for new technological breakthroughs and as something that can help build a fairer, more efficient, and resilient society.

“We firmly believe AI should not only be an object of study — it must become a tool for amplifying human potential. AI should also not be a privilege, but a resource for everyone. We believe the Experience AI programme can truly transform education from the bottom up.”

A man is delivering a presentation about Experience AI to a group of educators.

Within their community of 50,000 teachers, EdCamp Ukraine ensures that every educator, regardless of their living conditions or where they work, can access high-quality, relevant, and accessible support. For the organisation, the ongoing situation in Ukraine means being flexible with planning, preparing for a range of different outcomes, and being ready to pivot delivery to different locations or to an online setting when needed. These same considerations apply to EdCamp Ukraine’s teacher community, who need to be ready to adapt their lessons for any scenario.

“Recognising these war-related challenges helps us see the bigger picture and always have contingency plans in place. We think ahead and develop flexible scenarios.”

Two educators looking at a laptop screen.

This year, the team piloted Experience AI through their community of trainers, who, when they’re not training, are busy teaching in the classroom. Teacher Yuliia shared how her students valued the opportunity to be creators, rather than just users of technology:

“One student, who is an active AI user, kept silent during the lesson. I thought he wasn’t interested, but during the reflection he shared a lot of positive feedback and expressed his gratitude. Other students said it was important that they weren’t just told about AI — they were using it, creating images, and working with apps.”

A group of educators looking at a laptop screen.

EdCamp Ukraine plans to roll out training for Ukrainian teachers this autumn, reaching 2,000 teachers and 40,000 young people by the end of next year. 

More countries, more classrooms 

Two new partners in Nigeria are about to join the Experience AI network, and there are many more organisations in more countries coming soon. As our partner network continues to grow, we are excited to reach more communities and give more young people around the world the chance to build AI literacy skills and knowledge. 

You can find out more about Experience AI on the website. If your organisation is interested in partnering with us to deliver Experience AI, please register your interest and we will let you know about opportunities to work with us.

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Insights from a teacher trainer: Schools are ready to engage in AI — what they need is support

Post Syndicated from Dan Shilling original https://www.raspberrypi.org/blog/insights-from-a-teacher-trainer-experience-ai/

Today’s blog post is written by Dan Shilling, Programmes Manager at Parent Zone, one of our global partners for Experience AI.

“Educators have been struggling to find resources and support to teach young people about AI.”

This is something I’ve heard a lot when delivering Experience AI teacher training through Parent Zone’s partnership with the Raspberry Pi Foundation. 

An educator is delivering a presentation during a workshop.

Our partnership with the Raspberry Pi Foundation

Experience AI is an artificial intelligence (AI) literacy programme, co-developed by the Raspberry Pi Foundation and Google DeepMind, that teaches students aged 11 to 14 about AI and machine learning. Thanks to funding from Google.org, Parent Zone has partnered with the Raspberry Pi Foundation to provide free training to UK educators, equipping them with the skills they need to effectively deliver the programme in their settings.

The Experience AI resources help educators, including those from non-technical backgrounds, to deliver impactful lessons on AI and machine learning. Lesson resources span technical elements (e.g. data-driven models, bias) and practical elements (e.g. careers, safety).

Our face-to-face and virtual training sessions show teachers how to use the programme resources, as well as helping them feel more confident in the subject matter.  

The sessions also give me an opportunity to hear from teachers about how AI is being used and taught in classrooms, and the opportunities and challenges it’s creating.

A group of educators at a workshop.

Curiosity and experimentation

AI has a major presence in many schools now. 

Teachers tell me they’re seeing students use AI to support their homework. One teacher spoke about a student using a chatbot to help break down a maths problem, describing it like “having a tutor at home.”

Teachers are also using AI themselves to assist in their work — for example, to plan lessons, generate activities, and get ideas on how to explain complex topics more clearly. 

Openness to experimentation is clearly there. 

Educators at a workshop.

Addressing concerns

For all the benefits of AI, teachers also have concerns about it. 

Some have told me their students have no idea how easily these tools can be used to mislead or manipulate, through disinformation and deepfakes, for example. 

This is why Experience AI resources are meeting educator needs. Not only do they explain how AI and machine learning actually work, but they also address many pressing concerns around AI, from responsible usage and media literacy, to how data bias can affect the final output.   

Positive changes

In all the workshops, what stands out to me most is how ready teachers are to engage. They want to understand more. They want to help their students make sense of AI, and use it positively. 

They’re grateful for practical, grounded training and support that doesn’t assume they’ve all got computer science degrees. After one of our sessions, a teacher said:

“The better we educate ourselves, the better we’re able to help young people. It’s important because it’s affecting their day-to-day lives. We can help them navigate AI platforms, but in a safe way.”

Educators at a workshop.

Join a network of AI-ready educators

If you’re a UK secondary school teacher, you can sign up for free training from Parent Zone, with dates available until November 2025. You can choose from:

For more information about Experience AI, visit our website.

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Impact of Experience AI in Kenya

Post Syndicated from Paul Akwabi original https://www.raspberrypi.org/blog/impact-of-experience-ai-in-kenya/

Today’s blog post is written by Paul Akwabi, Executive Director at Tech Kidz Africa, part of our global partner network for Experience AI.

As artificial intelligence (AI) continues to reshape industries and redefine how we work and learn, it is essential that Kenyan educators are equipped with the knowledge and skills to introduce AI concepts to their learners.

In Kenya, the education system has taken significant steps towards digital literacy through the Competency Based Curriculum (CBC), which has introduced young learners to coding using Scratch and laid a foundation for tech skills. However, AI is yet to be formally integrated into the curriculum. This has presented an opportunity to prepare teachers to integrate AI into their lessons and inspire the next generation of innovators.

An educator with students at the Experience AI workshop.

How Experience AI has increased digital literacy

Our partnership with the Raspberry Pi Foundation has been a vital element in the retooling of Kenyan educators. Using the Foundation’s Experience AI resources, which they co-developed with Google DeepMind, we have equipped 441 teachers with practical AI and machine learning skills through hands-on training sessions in five counties: Mombasa, Nairobi, Taita Taveta, Meru, and Nakuru.

Our work to empower young learners with coding, robotics, and AI skills has positioned us as a key driver of digital literacy in Kenya. The Experience AI materials have helped us take key next steps — we’ve scaled up AI education, reached more teachers, and further democratised access to emerging technologies, supporting our goal of ensuring that no child is left behind in the digital revolution. 

To make the delivery of our training sessions as smooth as possible, we’ve joined hands with county governments and local education authorities like the Teachers Service Commission (TSC). In all the counties we’ve been working in, the TSC are actively promoting digital literacy among teachers and have made sure we equip teachers with the understanding and skills to use AI effectively. 

Learners using laptops during the Experience AI session.

Through our expert trainers, we’ve been able to offer hands-on introductions to AI concepts, provide opportunities for practical problem-solving with machine learning models, and expose participants to real-world AI applications. A great example of the work we’ve done is the training we gave to teachers in Meru County, where they learned to create an AI model that recognises certain food types in supermarkets. Later, in group sessions, participants developed their own diverse and innovative AI models. One group, for instance, designed an AI model for dishwashing that detects dirty dishes and automates the water removal process.

Feedback from training

Through the Experience AI training sessions, many educators gained new confidence and skills, and have already started to integrate AI into their classrooms. 

“I am grateful for the invaluable skills gained through the Experience AI training. The knowledge I’ve acquired will not only enhance my ability to conduct research but also empower me to teach my students how to effectively use AI. This is just the beginning. I look forward to building on this foundation and exploring even greater possibilities with AI.” — Mr. Githinji, Meru, Kenya

An educator with students at the Experience AI workshop.

In any aspect of life, learning is about shifting perspectives, nurturing curiosity, and embracing new possibilities — this is what drives innovation. The Experience AI training in Kenya has exemplified this, transforming how we think and approach technology.

“I am glad that my county has been considered in this training. I challenge the teachers here to make use of these useful resources to spice up learning in the classroom. I was once a mathematics teacher and I wish I had technology to teach. Thank you Tech Kidz Africa, Raspberry Pi Foundation and Google DeepMind for empowering these teachers.” — His Excellency Andrew Mwadime, Governor Taita Taveta County

The overwhelming enthusiasm from educators and learners is evidence that the Experience AI lessons have been highly impactful. Teachers have expressed a strong desire for more training opportunities to support them in equipping students for the future. Many of the teachers have also expressed how the training has demystified AI, enhancing accessibility and giving their daily teaching added relevance. In addition, there is a clear call to scale up these efforts to reach more teachers across the counties in Kenya to ensure that AI education is widespread and inclusive.

A group of students holding the Experience AI certificates.

Experience AI is bringing a unique AI experience to teachers, helping ease fears that AI might render them obsolete or take away their jobs. Educators are excited to explore how AI algorithms work and how they can train them for the benefit of both themselves and their students. They recognise that AI can help create an equal playing field, offering tools worldwide that can showcase and accentuate their talents, capabilities, and skill sets.

If you’re interested in finding out more about the Experience AI resources, visit the Experience AI website.

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