Patterns and Classification
Humans are great at spotting patterns; computers can learn to spot patterns too, but they need lots of examples; sorting and classification activities as the basis of machine learning
How to tell they’ve got it
Tick these off as you see them — no test required.
🖨 Print this page to keep the checklist — it prints beautifully.
Try this together
If you showed your child pictures of cats and dogs, could they explain how a computer could learn to tell them apart — and why it would need many more pictures than a person would?
Where this sits on the map
Stuck here? Check the skills it builds on first. Confident? Here’s what it unlocks.
solid = must come firstdashed = helps
Curriculum alignment
Candidate matches to official curriculum codes — machine-suggested, unreviewed (v0.1).
Show candidate curriculum codes · 3 ACARA · 2 NSW · 3 VIC
Australian Curriculum v9 candidate
make, compare and classify objects, identifying key features and explaining why these features make them suited to their uses
make, compare and classify familiar shapes; recognise familiar shapes and objects in the environment, identifying the similarities and differences between them
represent data as pictures, symbols, numbers and words
NSW syllabus codes & stages only
Victorian Curriculum 2.0 codes & levels only
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.