CCF TUTORIAL PATHWAY

Machine Learning & AI Tutorial Lab

A child-friendly pathway into artificial intelligence: start by noticing patterns and asking good questions, then grow into data, models, evaluation, responsible AI and useful projects.

SYSTEMATIC INTRODUCTION

Start at age 8. Grow the challenge as the learner grows.

CCF uses a simple cycle: discover → practise → explain → create → test → improve → share. Younger learners work with stories, games and concrete examples; older learners add technical depth, research, teamwork and independent projects.

Mentor rhythm: ask a question, demonstrate one idea, let the learner try, celebrate the attempt, debug together, then ask the learner to teach the idea back.
01

What is intelligence?

Use games and everyday examples to compare human choices with computer instructions.

02

Patterns everywhere

Sort pictures, sounds or numbers and explain the pattern you noticed.

03

Data tells a story

Learn that examples become data and that data can be incomplete or biased.

04

Rules vs learning

Compare a hand-written rule with a simple model that learns from examples.

05

Train a tiny classifier

Use a beginner-friendly visual tool to classify simple objects or sounds.

06

Test before you trust

Check predictions with new examples and record mistakes.

07

Responsible AI

Discuss privacy, fairness, misinformation, safety and human responsibility.

08

Build an AI-powered idea

Turn a community question into a small prototype and explain how it works.

VIDEO LEARNING LIBRARY

Watch, pause, try, change and explain.

Use each video as a launchpad for a small practical task rather than passive watching.

BUILD SOMETHING

Project challenges

🧠

Pattern Detective

Create a game where players spot patterns and predict what comes next.

🔎

Truth Checker

Build a simple checklist that asks whether an AI answer has evidence.

🌱

Community AI Idea

Design a small responsible-AI concept for a school or community need.