Class 01 — What AI Is (and First Hands-On Use)

Date: TODO · Slides: TODO: link or drop PDF in public/slides/

Objectives

• Explain artificial intelligence in accessible language.
• Distinguish AI from traditional software and game systems.
• Recognize the three big myths: AI knows everything, AI is always correct, AI thinks like a human.
• Complete a first supervised prompt — after passing the task through the Seven-Question Check.

Agenda (60 min)

Time	Block
0–5	Welcome + how the course works (prompt log, weekly warm-up)
5–20	Mini-lesson: AI as pattern recognition and prediction; AI vs. traditional algorithms; AI vs. search engines. Mention NPCs and AGI only — they come back later.
20–30	Game: AI, algorithm, or human? Students classify examples and explain their reasoning.
30–35	First contact rule: before anyone types a prompt, they state their purpose in one sentence and run it through the Seven-Question Check (Questions 1 and 2 especially).
35–55	First hands-on use: each student asks the class tool one school-relevant question; share one surprising output.
55–60	Exit ticket: one thing AI is, one thing AI is not.

Key terms

• Narrow AI vs. AGI — everything that exists today is narrow.
• Pattern recognition / prediction — what the models actually do.
• Hallucination — preview only; Class 2 goes deep.

Seven-Question connection

Q1 (clear purpose) — the first-contact rule makes students name the role AI plays before they ever type. Q2 (allowed) — state the classroom access rules out loud on day one.

Homework / log entry

Bring one example this week of something you suspected was AI-generated (text, image, video, or a weird ad). Next class starts with the warm-up on these.

Teacher notes

• Cut if pressed: trim the mini-lesson to 15 min — getting to hands-on is the priority; theory can leak into Class 2.
• Access model for first contact: TODO (school accounts / shared demo account).