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ComputingArtificial IntelligenceAges 7–9

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

Lesson

Set out your lesson

“Patterns and Classification means practising the idea at the table with a simple screen-free or sandbox check. We will demo once, then your child tries.”

Bring to the table

  • Two short recommendation cards or screenshot printouts
  • Pencil for compare notes
Extra for the adult

Worked example. A feed keeps showing football because past clicks were football — that can hide other topics (filter bubble).

Optional challenge. For Patterns and Classification, add one harder example after success.

What to notice. Keep one parent note: examples tried; results; support used. This session samples Patterns and Classification, not mastery.

Continue learning
Share and support
Family records and proof options

Keep a record of your learning

Save photos, notes, and attendance. Export a proof packet for compliance or portfolio reviews.

Practice this concept

Start practice
Gakuva activity

Patterns and Classification practice

Practice key ideas from Patterns and Classification.

Free · no login · no ads · Practice answers and completion are not saved. Parent observation remains the lesson record.

Learning resources

Extra practice links — they do not replace Gakuva’s teaching approach.

Code.org · Practice link — not the full lesson

AI for Oceans

Open practice (new tab)
Before you open · source notes

Train and test a classifier on labeled examples—direct practice with patterns and classification (and what happens with new items).

Free · no login required to play · account optional to save · no ads observed

Before you open

Save a screenshot of training labels and a test result, plus a parent note of one correct and one confused classification.

Opening this link does not save learning or assess mastery.

Source, access and review notes

Unknown — link only

Google Creative Lab · Practice link — not the full lesson

Teachable Machine · Image

Open practice (new tab)
Before you open · source notes

Adult-guided tool: create two or more image classes, train a quick model, and test new examples. Works best with a webcam and supervision.

Free · no login · no ads observed · webcam optional

Before you open

Save a screenshot of at least two classes with training samples and one live test prediction.

Opening this link does not save learning or assess mastery.

Source, access and review notes

Unknown — link only

Check understanding

  • Sort a set of items into categories and explain the rules they used
  • Explain that computers learn patterns by looking at many examples
  • Describe why a computer needs more examples than a human to learn the same pattern
“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?”

Curriculum record

Type
Conceptual
Subject
Computing
Domain
Artificial Intelligence
Age range
Ages 7–9