惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

N
Netflix TechBlog - Medium
V
Vulnerabilities – Threatpost
Google Online Security Blog
Google Online Security Blog
Hugging Face - Blog
Hugging Face - Blog
L
LINUX DO - 热门话题
云风的 BLOG
云风的 BLOG
P
Proofpoint News Feed
D
Docker
C
Cyber Attacks, Cyber Crime and Cyber Security
MyScale Blog
MyScale Blog
P
Palo Alto Networks Blog
T
Tenable Blog
P
Privacy International News Feed
Google DeepMind News
Google DeepMind News
小众软件
小众软件
Cisco Talos Blog
Cisco Talos Blog
aimingoo的专栏
aimingoo的专栏
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
A
Arctic Wolf
C
Cybersecurity and Infrastructure Security Agency CISA
C
Cisco Blogs
T
Threat Research - Cisco Blogs
NISL@THU
NISL@THU
The Hacker News
The Hacker News
Project Zero
Project Zero
AWS News Blog
AWS News Blog
Simon Willison's Weblog
Simon Willison's Weblog
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
T
Threatpost
V
Visual Studio Blog
The GitHub Blog
The GitHub Blog
The Cloudflare Blog
Last Week in AI
Last Week in AI
Jina AI
Jina AI
Cyberwarzone
Cyberwarzone
The Register - Security
The Register - Security
C
CXSECURITY Database RSS Feed - CXSecurity.com
Vercel News
Vercel News
D
Darknet – Hacking Tools, Hacker News & Cyber Security
MongoDB | Blog
MongoDB | Blog
U
Unit 42
Scott Helme
Scott Helme
A
About on SuperTechFans
WordPress大学
WordPress大学
F
Fortinet All Blogs
大猫的无限游戏
大猫的无限游戏
G
GRAHAM CLULEY
Latest news
Latest news
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
S
Schneier on Security

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 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 Professional development: How to stay ahead in a fast-changing subject What does ‘thinking’ mean now? An astronomical anniversary: Young people’s code heads to the International Space Station
Support your young people with our AI literacy resources
Jenni Hutchings · 2026-06-03 · via Raspberry Pi Foundation

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’.

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.