Thinking...
LittleAIMaster
Thinking...
LittleAIMaster
We use cookies to improve your experience and analyze site traffic. By clicking "Accept", you consent to our use of cookies. Privacy Policy
At 11 (Grade 5–6), students learn how machine learning works — computer vision, how chatbots predict words, and AI art generators — with light block-based coding. Maps to CSTA Level 1B and AI4K12 Big Ideas 1–3. First 3 chapters free.
Yes. Most major curricula (CSTA, AI4K12) align foundational AI topics to specific developmental stages, and these lessons follow that mapping.
Where age 10 builds awareness, the age-11 path adds mechanism — how training data, patterns, and predictions actually work — through hands-on mini-projects.
A first look at computer vision — how phones recognise faces and objects.
Training, examples, and feedback — explained without math.
How chatbots produce replies, and why they sometimes hallucinate.
AI image and music generators — how they work and where the ideas come from.
The path is built around four units. Each unit is roughly three weeks of light study.
Training, labels, and examples. Kids train a tiny model with their own pictures.
How AI distinguishes apples from oranges — and where it fails.
How chatbots predict the next word. A first conversation about hallucinations.
Generators, filters, and stickers. What's real, what's synthesised, and how to tell.
Every lesson opens with a relatable story before introducing the concept.
Sessions are designed to fit between school, homework, and the rest of life.
XP, badges, and a printable certificate keep momentum without becoming chores.