Full Description
This research-grounded guide helps college educators use generative AI to strengthen, not sideline, what they already know about effective teaching.
Drawing on decades of experience in faculty development and learning science, Ludwig and Zakrajsek propose a three-stage progression model—Adapt, Create, Embed—to help faculty from any discipline thoughtfully incorporate AI into their teaching. Rather than chasing the latest tech tools, this book focuses on how AI can deepen student learning by enhancing time-tested frameworks such as TILT, Universal Design for Learning, Bloom's Taxonomy, and Backward Design, all summarized in a handy appendix. Each chapter includes classroom-tested examples, reflection prompts, and activities ready for individual exploration or group discussion.
Whether you're skeptical, curious, or cautiously optimistic, this book offers a clear, practical path to using AI as a partner, not a replacement, in ways that support students and reinvigorate teaching.
Contents
Part 1: Creating Your genAI Roadmap Chapter 1. You Didn't Ask for This, But It Is Here Chapter 2. Teaching and Learning in the Age of genAI Chapter 3. Navigating Your genAI Journey from Improvement to Innovation Part 2: Building a Foundation for Learning Chapter 4. GenAI-Assisted Universal Design for Learning and Instruction Chapter 5. Building Community and Trust Chapter 6. Backward Design: Planning a genAI-Facilitated Journey Chapter 7. GenAI Integration to Create Deeper Learning Opportunities Part 3: Teaching for Deeper Learning Chapter 8. Guiding the Journey from Novice to Expert Chapter 9. Strategic Learning in Action Chapter 10. Developing Persistent Learners
