Most people can tell you what an AI tool does. Almost nobody can tell you how, or why that matters. Five lessons that fix that, and end in something your student keeps.

Lesson 1 is the mechanism — prediction, not understanding — and why a confident wrong answer is the predictable failure of a system built that way. Lesson 2 replaces "it feels like cheating" with a two-axis framework you can actually apply to a situation you have not seen. Lesson 3 separates one made-up fact from a skewed pattern, because they are different problems with different fixes. Lesson 4 is the accountability chain, built so there is no single villain to pick. Lesson 5 is the project: your student writes the AI use policy they will actually follow, and it is marked against a rubric out of 20.

No device is required anywhere in the unit. That is deliberate — the work is the reasoning, not driving a tool.

The five per-lesson teacher guides are printed with the handouts as they were written. On top of them, this edition adds four pages of the same guidance rewritten for one student and a parent — objective, timing, what to watch for, and the specific places the conversation goes wrong — plus the project rubric on a page of its own.

WHAT'S INCLUDED

Written by a licensed K-12 business teacher with more than thirteen years in the classroom. Built to be taught by a parent with no background in the subject.