AI Foundations · Unit 1 teacher kit
What AI Is
Explain that AI predicts from patterns and can be confidently wrong.
Essential question
If something sounds smart, does that mean it knows the truth?
Vocabulary: predict · pattern · hallucination · tool
45-minute class period
- 5 min — Hook with essential question
- 25–30 min — Interactive missions (assign 1–2 lessons)
- 5 min — Discussion from teacher kit prompts
- 5 min — Exit ticket / parent takeaway
Discussion arc
- Essential question: If something sounds smart, does that mean it knows the truth?
- Mission 1: Inside a Chatbot
- Mission 2: Teach the Robot
- Mission 3: Pattern Party
- Mission 4: Fact, Guess, or Vibe
- Mission 5: Predict, Not Know
- Mission 6: Confident & Wrong
- Mission 7: Tool, Not Friend
- Mission 8: Not Magic
- Mission 9: Trained on Data
- Mission 10: Check Before Trust
- Close: One sentence kids can say at dinner about today’s skill.
Missions in this unit
Inside a Chatbot
Explain prediction and hallucination in plain language
How chatbots work
Full lesson kitTeach the Robot
Explain that computers learn from examples
Learning from examples
Full lesson kitPattern Party
Connect patterns to how computers predict
Finding patterns
Full lesson kitFact, Guess, or Vibe
Label facts, guesses, and opinions in AI text
Fact vs guess
Full lesson kitPredict, Not Know
AI predicts — it does not know
Predict ≠ know
Full lesson kitConfident & Wrong
Confidence can hide mistakes
Confidence ≠ truth
Full lesson kitTool, Not Friend
AI is a tool, not a friend
Tool ≠ friend
Full lesson kitNot Magic
AI is not magic
Not magic
Full lesson kitTrained on Data
AI is trained on examples
Trained on data
Full lesson kitCheck Before Trust
Verify before you trust AI
Verify first
Full lesson kit
Standards
- ISTE 1.5.d — Computational Thinker
- CSTA 1A-DA-06 — Data & analysis
- CSTA 1A-DA-07 — Patterns in data
- ISTE 1.3.c — Evaluate information