Y4: AI Science-Fair Project (Capstone)

Your young-maker capstone: design and run a REAL science-fair project that uses AI honestly, from your first question to your final presentation. You'll follow the scientific method like real scientists do: pick a question AI can help answer, research and cite your background, write a hypothesis you can actually test, plan an experiment with strong data ethics (consent, privacy, never any personal data), then build the AI part (a Google Teachable Machine model you train yourself, or careful AI-assisted analysis). You'll measure your results honestly (including the times the model gets it wrong), check your project for bias and limits, and build a poster and a talk that cite every source. Every step ties back to what you learned in F3 and Y1 to Y3, and every claim here is tied to a real, trustworthy source you can open and check.

How this course's quizzes are builtshow

1 quiz, 10 questions in all.

The answer options are reshuffled on every attempt, so a retake cannot be passed by remembering where the right answer sat.
The quiz long enough to measure (8 or more questions) passes the length check: the right answer is as often a long option as a short one, so it cannot be picked out by length alone.
All 10 questions link back to the lesson that teaches the answer.
All 10 questions explain the answer once you have responded.

Counted from the quizzes themselves each time this page loads.

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