Teaching with AI: Your Guide to Authentic, Engaged Learning
Your students are already using AI. This book is how you answer.
Most instructors meet AI as a threat to their assignments. Teaching with AI shows you how to make it the most capable teaching assistant you have ever had, without letting it hollow out the learning.
Written as the standalone companion to Learning with AI, it turns the same research to the instructor's side of the desk: how people actually learn, and how to design courses, lessons and assessments that make real learning happen in the age of AI. No detection software, no AI-proof assignment myths, no bans that quietly fail. Instead: a clear course AI policy your students will respect, retrieval and spacing built into your lesson plans, feedback at scale with you still in the loop, and a two-lane assessment model that tests what each student can actually do.
Inside you'll find:
The learning science behind every technique, with honest numbers100 ready-to-use AI prompts for planning, materials, feedback and assessmentClassroom activities with timings, steps and watch-outsPolicy and syllabus templates you can adapt in an afternoonSample dialogues showing productive AI-assisted teaching, including where the AI gets it wrongYou'll follow six instructors, a welder, a nurse, an accountant, a developer, a sociologist, and a sessional lecturer finding her feet, as they redesign real courses. Every prompt works in any major AI assistant. Nothing depends on a tool that will be different by spring.
Whether you teach trades, nursing, accounting, software or sociology, in lecture halls or online, this book gives you a complete system for teaching with AI instead of against it.
The 70/30 Rule kept your students' learning honest. This book keeps your teaching honest too. Start teaching differently.
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