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Your students have AI. Here's how to grade what it still can't do.
A ninth-grade research paper comes back with a rubric score higher than the student has ever earned before. The teacher asks one follow-up question - "Tell me about the source you found hardest to use" - and half the class goes blank.
That gap is the problem this book solves.
Stuff AI Can't Touch isn't a guide to catching cheaters or locking down your classroom with detection software and browser restrictions. It's a practical, teacher-tested approach to building assessments around the one thing generative AI still cannot do: demonstrate a student's own understanding, live, under real conditions.
Built around the PROOF framework - Process, Reflection, Oral defense, Observable performance, Flexible transfer - this book gives you a complete, ready-to-use system for redesigning how you assess student learning in the age of AI.
Inside, you'll find:
Whether you're one teacher trying to restore confidence in your grades or a department head leading a school-wide rethink, this book gives you a concrete starting point - not a theory, a Monday-morning plan.
AI changed what a finished product can prove. It hasn't changed what a real conversation, a live performance, or an honest reflection can prove. This book shows you how to grade that instead.
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