The AI Doesn’t Know Your Students is a practical AI book for teachers — written by David Jacobson, an AP educator with real classroom experience. This AI book for teachers covers what AI can do in education, how to use it without losing your professional judgment, and why the human side of teaching still matters most.
The AI Doesn’t Know Your Students
A Thinking Teacher’s Guide to AI in the Classroom
By David Jacobson
There’s a version of AI that gets sold to schools — in consultants’ slide decks and administrative memos. Then there’s the version teachers are actually living with: a tool that can write a lesson plan in 30 seconds but has no idea who your third-period class really is.
This book is a field guide for that second version. It covers what AI actually does (and doesn’t do), how to use it without handing over the parts of teaching that matter, and how to help your students engage with it thoughtfully.
Practical. Honest. Written by a teacher, for teachers.
What’s Inside
Twenty-two chapters. Four sections. One argument: that teaching is a relational act, and no tool — however capable — can replace the teacher who knows the student. Here’s how the book moves.
Section One
The Foundation
What AI is doing when it generates text, what that means for learning, and what it means to teach in an international school.
- 1. The Shape, Without the Substance AI can produce lesson-shaped things. What’s missing is the thinking, the culture, the friction that actually teaches.
- 2. Behind the Firewall What actually works in a school with filters, privacy rules, and the constraints you already live inside.
- 3. Teaching Across Languages AI can translate. It can’t sit with a student who is thinking in two languages at once.
- 4. Rules of Evidence Your exam board doesn’t care how polished something looks. It cares whether there’s evidence you judged the work.
- 5. Culture, Pressure, and the AI Classroom Students bring home economics and family expectations into every interaction with these tools. That changes what they do with them.
- 6. What the Room Revealed Put a real tool in front of a real classroom and it shows you what you’ve been teaching — and what you haven’t.
Section Two
The People in the Room
The cultural pressures on your students and the design frameworks that let you build a classroom that works for the students you actually have.
- 7. The Promise Every Tool Makes An honest look at what AI can take off your plate, and what it can’t no matter what the demo promises.
- 8. The Invisible Prep The real payoff isn’t in class. It’s in the quiet prep work that lets you show up more ready than you were yesterday.
- 9. The Teacher’s Workbench Stop using someone else’s template. Build a small set of tools around how you actually think.
- 10. The Filing Cabinet You Never Clean Out Every teacher has a mess of old lessons, feedback snippets, and notes. Make it usable again without spending your summer on it.
- 11. The Data You Already Have You already know things about your students no tool will ever know. Here’s how to make that knowledge usable.
- 12. Working With the Grain The smartest response to AI isn’t to ban it. It’s to design tasks where real thinking still has to happen.
- 13. Thirty-Two Essays Use AI to move through the stack. Keep your voice front and center in the feedback.
- 14. The Student in Front of You AI can scaffold a struggling reader. You’re the one who knows whether they need more time or a different door in.
Section Three
The Field Guide
Lesson planning, feedback, assessment, differentiation — each chapter built around a real classroom problem with practical tools at the end.
- 15. Working Through Something Prompting isn’t a shortcut. It’s a thinking move worth teaching alongside your curriculum.
- 16. The Mirror, Not the Tool Every tool is a mirror. What you see reflected is what you emphasize, what you skip, and what your assessments actually measure.
- 17. What You Can’t See From Here There’s a difference between what you can measure and what you know. The most important moves are often the invisible ones.
- 18. What AI Reveals About Your School Your school already has gaps between divisions and grade levels. AI just makes them visible.
Section Four
The Bigger Questions
School-wide alignment, academic integrity, and what teaching is for when the technology in the room is genuinely impressive.
- 19. When It Stops Being Optional The moment AI becomes structural, schools have to decide what we owe students who don’t have it at home.
- 20. There Is No Neutral AI The tools your students use carry decisions about whose knowledge matters. Those decisions aren’t neutral.
- 21. The Wrong Argument Stop asking whether AI is good or bad. Start asking what teaching is for, and whether this tool serves that.
- 22. What Teaching Is For Teaching is a relational act. You know your students across time in a way AI cannot. That knowing matters more now, not less.
Epilogue
The quiet note after. What stays when the tools change — and what to carry forward.
What People Are Saying
Ready to read it?
Available on Amazon. Practical enough for a planning period, honest enough to actually help.
