Computing // Artificial Intelligence
Machine Learning Basics
How machine learning works at a conceptual level: show the computer many examples, it finds patterns, then it makes predictions about new things; hands-on experience with Teachable Machine or similar tool
Quick check
Could the learner describe how you teach a computer to recognise something — by showing it lots of examples until it spots the pattern?
Ask this to see whether the topic is secure.
Topic // Mastery
What mastery looks like
- Describe the three steps of machine learning in simple terms (give examples, find patterns, make predictions)
- Train a simple model using a tool like Teachable Machine and describe what happened
- Explain why showing more and better examples makes the model more accurate
Topic // Map
Where this fits
- RequiredMust come first
- HelpfulHelps, but not essential
Before this
2 topicsArtificial Intelligence // Ages 7 to 9
Must understand data before training a machine with data
- Patterns and ClassificationRequired
Artificial Intelligence // Ages 7 to 9
Must understand patterns and sorting before grasping the training process
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Machine Learning Basics
Ages 7 to 9 // Concept
Leads to
5 topics- AI Mistakes and LimitationsRequired
Artificial Intelligence // Ages 7 to 9
Must understand how training works before understanding why it can go wrong
- Humans Versus MachinesRequired
Artificial Intelligence // Ages 7 to 9
Must understand how machines learn before meaningfully comparing human vs machine capabilities
- AI and the EnvironmentRequired
Artificial Intelligence // Ages 9 to 11
Must understand training requires computation before grasping its environmental cost
- Bias in AI SystemsRequired
Artificial Intelligence // Ages 9 to 11
Must understand training process before grasping how biased data creates biased AI
Artificial Intelligence // Ages 9 to 11
Understanding training helps grasp how AI generates realistic content
Computing // Artificial Intelligence
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