6–8 · Prompting, Models, Responsible Use

What Is AI Really Doing?

Unit 1 pulls back the curtain: AI is pattern recognition, not magic. Across five 30–45 minute lessons, students see how training data shapes results, write sharper prompts, learn to catch confident-but-wrong 'hallucinations,' and build a simple prompt-test-verify-refine workflow.

📘 5 lessons · 30–45 min lessons📄 5 printable activities + certificate

The 5 lessons

  1. 1

    What Is AI Really Doing?

    30–45 min

    Students learn AI is pattern recognition, not magic — it finds patterns in data and produces outputs from its training.

    Vocabulary: AI · data · pattern · output

  2. 2

    Training Data Matters

    30–45 min

    Learners see how the quality of training data changes a model's performance, and how to spot strong vs. weak data.

    Vocabulary: training data · quality · input · output

  3. 3

    Prompting Basics

    30–45 min

    Kids write clearer, more specific prompts and compare how the AI's responses change.

    Vocabulary: prompt · response · instruction · refine

  4. 4

    AI Mistakes and Hallucinations

    30–45 min

    Students discover AI can sound confident and still be wrong, and why every answer needs verifying.

    Vocabulary: hallucination · verify · error · confidence

  5. 5

    Unit 1 Build Challenge

    30–45 min

    Learners build a simple AI workflow — prompt, test, verify, refine — and defend their choices.

    Vocabulary: prompt · test · verify · refine

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