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Raspberry Pi Foundation

Bring AI literacy into every classroom with our new themed resources - Raspberry Pi Foundation Launching Astro Pi 2026/27: Code your way to the International Space Station - Raspberry Pi Foundation Join the UK Bebras Challenge 2026 - Raspberry Pi Foundation Experience AI evolves with flexible resources for every classroom - Raspberry Pi Foundation Supporting a technical AI-focused qualification for young people in England - Raspberry Pi Foundation Keep coding when your internet drops: Offline support in the Code Editor - Raspberry Pi Foundation How to improve students’ problem-solving skills using subgoal labels - Raspberry Pi Foundation Celebrating the community: Douglas and Oasis Mathare - Raspberry Pi Foundation Supporting AI education for 150,000 learners in Aotearoa New Zealand and Australia - Raspberry Pi Foundation Bringing the global Bebras community together in Cambridge - Raspberry Pi Foundation From one club to a global movement: Celebrating 15 years of CoderDojo! - Raspberry Pi Foundation Robots, games, AI, and more at Coolest Projects UK 2026 - Raspberry Pi Foundation Building education technology that children can trust - Raspberry Pi Foundation AI literacy begins with data literacy: An example from healthcare - Raspberry Pi Foundation Hello World #30 out now: Critical thinking in the age of AI - Raspberry Pi Foundation Enhancing your enrichment offer? Code Club is the answer - Raspberry Pi Foundation Joy in learning computer science with Experience CS - Raspberry Pi Foundation Celebrating over 15,000 young creators at the Coolest Projects 2026 online showcase - Raspberry Pi Foundation How to design and present clear computing lessons - Raspberry Pi Foundation What students and teachers in England want from a computing curriculum - Raspberry Pi Foundation Young people’s computer programs get data from space Support your young people with our AI literacy resources Building confidence to teach AI in the classroom Can AI support creativity? What educators can learn from creative machine learning Celebrating young tech creators at Coolest Projects Ireland 2026 Beyond content: Helping teachers feel ready to teach AI Start small, dream big with Code Club: Become an Incubator Partner AI is not neutral: What recent research says about bias, identity, and power A day of big ideas at Coolest Projects USA Minnesota 2026 Why localisation matters for AI literacy: Lessons from Uzbekistan
Empowering global AI literacy: Translating Experience AI ...
Zeljka Novak Baxter · 2026-07-10 · via Raspberry Pi Foundation

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.