Overview

The teacher's manual for AI that doesn't replace teaching.A student turns in an essay that's too perfect. An administrator says ""we should be using AI"" without saying how. You try a chatbot, it makes a quiz, and two answers are wrong - but a student catches it before you do. If any of this sounds familiar, this book was written for you. The Human-AI-Human Classroom offers a third way between banning AI and surrendering to it: a teacher-led model where you design the experience, your students do the thinking, and AI supports specific parts of the process without taking over the work that builds understanding. Written for teachers who have ten minutes between bells and need answers that hold up on Monday morning, this is not a manifesto and not a list of apps. It's a working manual - 10 chapters, 30 subchapters, dozens of real classroom prompt examples, with Key Takeaways and a Mini Exercise at the end of every section. Inside, you'll learn: The CORE prompt framework (Context, Outcome, Role, Evaluation) - turn vague AI requests into reliable, classroom-ready outputs every time How to design prompts that build student thinking, not just student answers Backward design with AI - draft standards-aligned lessons and units in a fraction of the time, without sacrificing rigor A complete student AI literacy progression - from simple prompts to evidence-driven, citation-ready use Fact-checking and guardrails - spot hallucinations, verify outputs, protect student privacy, and align with your district policy Differentiation and assessment workflows that scale equity without lowering rigor Feedback prompts students actually use - and grading workflows that keep teachers as the final decision-maker A capstone playbook for designing a full Human-AI-Human unit from contract to rollout, including contingency plans for when things go wrong Who this book is for: K-12 and higher-ed teachers, instructional coaches, curriculum directors, school administrators, and graduate students in education. Whether you're new to AI in the classroom or already experimenting, this book gives you a defensible, teacher-led framework you can build on - one your colleagues will respect, your parents will trust, and your students will benefit from. What makes this book different: Most AI-in-education books fall into two camps: fear-driven (""ban it before it's too late"") or hype-driven (""the future is now, get out of the way""). This book refuses both. Every prompt example was tested in a real classroom. Every framework was built to survive a faculty meeting, a parent email, and a Monday morning lesson - not just a conference keynote. AI will change monthly. The tools you use today will be replaced. The thinking in this book - about how to keep teachers and students at the center of learning - will not. Pick up your copy and bring a defensible, teacher-led AI practice to your classroom this week.

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