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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

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Learning resources

Reviewed external links that reinforce this concept. They do not replace Gakuva’s teaching approach.

Code.org · Practice link — not the full lesson

AI for Oceans

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

Review and open practice
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.

Open practice (new tab)
Source, access and review notes

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

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

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

Unknown — link only

Google Creative Lab · Practice link — not the full lesson

Teachable Machine · Image

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

Review and open practice
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.

Open practice (new tab)
Source, access and review 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.

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

Free · no login · no ads observed · webcam optional

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