ComputingArtificial IntelligenceAges 7–9

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

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Machine Learning Basics means: show many examples, the system finds patterns, then it predicts about something new. We will train a human “model” with cards, test a new card, talk about mistakes, then check a fresh prediction.

Spend about 14 minutes practicing example→pattern→predict with card sorting (optional later tool), then checking a new prediction.

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

View learner plans ($12/mo per learner) See sample family archive

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Gakuva activity

Machine learning basics practice

Use examples to predict, and expect mistakes.

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.

Google Creative Lab · Practice link — not the full lesson

Teachable Machine · Image

Open practice(new tab)

Before you open · source notes

Hands-on machine-learning basics: gather examples, train, and test. Emphasize that the computer only learns from the examples you give it.

Free · no login · no ads observed · webcam optional

Before you open

Save before/after screenshots (classes filled → prediction) and a parent note in the learner’s words: “It learned from my examples.”

Opening this link does not save learning or assess mastery.

Source, access and review notes

Unknown — link only

Code.org · Practice link — not the full lesson

AI for Oceans

Open practice(new tab)

Before you open · source notes

Guided story-mode introduction to training data and model testing for younger learners before open-ended Teachable Machine work.

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

Before you open

Save a progress screenshot and a parent note explaining training data vs a later test in kid language.