How can you tell they’ve got it: Machine Learning Basics?

If they’ve got it, you’ll see things 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. Or just try it together: Could your child describe how you teach a computer to recognise something — by showing it lots of examples until it spots the pattern?

Computing Artificial Intelligence Ages 7–9

Machine Learning Basics

Your child knows how a computer learns. You show it many examples. It finds the pattern, then guesses about new things.

In curriculum terms

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

Ages are typical, not deadlines — follow your child’s pace. How to help at home →

How to tell they’ve got it

Tick these off as you see them — no test required.

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

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Try this together

Could your child describe how you teach a computer to recognise something — by showing it lots of examples until it spots the pattern?

Where this sits on the map

Stuck here? Check the skills it builds on first. Confident? Here’s what it unlocks.

Builds on

Data and Information for Computersages 7–9Must understand data before training a machine with data

Patterns and Classificationages 7–9Must understand patterns and sorting before grasping the training process

Machine Learning Basicsthis skill · ages 7–9

Unlocks

AI Mistakes and Limitationsages 7–9Must understand how training works before understanding why it can go wrong

Humans Versus Machinesages 7–9Must understand how machines learn before meaningfully comparing human vs machine capabilities

AI and the Environmentages 9–11Must understand training requires computation before grasping its environmental cost

Bias in AI Systemsages 9–11Must understand training process before grasping how biased data creates biased AI

Deepfakes and AI-Generated Contentages 9–11Understanding training helps grasp how AI generates realistic content

solid = must come firstdashed = helps

Curriculum alignment

Where this fits in the official school curriculum — our best automated guess, not yet checked by a person.

Show candidate curriculum codes · 1 VIC

Australian Curriculum v9 candidate

This skill sits outside the F–6 Australian Curriculum — no candidate code matched (v0.1).

Victorian Curriculum 2.0 codes & levels only

VC2M3SP01low confidenceMathematics · Level 3 · Space strand

These are candidate alignments generated by semantic matching — machine-suggested and unreviewed (v0.1), not official or verified mappings. For official curriculum content see australiancurriculum.edu.au, curriculum.nsw.edu.au and f10.vcaa.vic.edu.au. Don’t rely on them for registration or compliance purposes.

Nearby on the map

AI in Computer Gamesages 7–9 AI Mistakes and Limitationsages 7–9 Data and Information for Computersages 7–9 Humans Versus Machinesages 7–9

All Artificial Intelligence skills →