Introduction

In the spring of 2025, a group of us at the University of Missouri came together with a shared goal: to help instructors and students better understand how artificial intelligence is changing our world and influencing teaching and learning. This eBook is the result of that work. It brings together ideas, examples, tools, and resources we’ve explored as part of our roles as AI Faculty Fellows in the Teaching for Learning Center at Mizzou. Whether you’re new to AI or already using it in your classes, we hope you’ll find something helpful, thoughtful, and practical.

The conversations around AI in education are moving quickly. There’s excitement, concern, confusion, and creativity all happening at once. Our goal with this book isn’t to offer a single answer or one-size-fits-all approach. Instead, we’ve collected a range of real examples from instructors on our campus who are using AI in meaningful and responsible ways. These are things we’ve tried, discussed, and refined through experience.

Some chapters focus on classroom activities, like designing writing prompts with AI or giving speeches written entirely by AI tools. Others explore big-picture topics like equity, accessibility, and how to support students who have different levels of comfort and access to AI. One chapter shares key lessons from Writing with Generative AI, a Writing Intensive course developed at the University of Missouri using High Impact Practices (HIPs). That course combined hands-on research, ethical reflection, and step-by-step assignments to help students write with AI in a thoughtful and transparent way.

You’ll also find sample syllabi, policy templates, and a training plan to help new instructors learn how to teach with AI. A few sections highlight campus-wide work, including our AI podcast series inspired by Ethan Mollick’s book Co-Intelligence, and a report created by the university’s AI and Learning Environment Taskforce. These efforts show that AI is not just a short-term trend. It is already shaping how we think about teaching, learning, and academic work.

We’ve included a glossary to explain key terms like large language models, prompt engineering, and AI hallucination. The goal is to make this eBook easy to read and easy to use, without getting lost in technical jargon.

Most of all, this book is a result of collaboration. It includes voices from across the university, including faculty, staff, and students, working together to ask good questions and explore smart ways to move forward. Teaching with AI is not about lowering standards or handing over control. It is about helping students think critically, use new tools with care, and stay curious as the world around them changes.

Thanks for reading. We hope you find something here that you can try out, share with others, or build on in your own teaching. We’re excited to keep learning with you.

Kevin Brown, Mauro Palmero, Jared Schroeder, and Caroline Waldbuesser
T4LC AI Faculty Fellows
Tori Mondelli, Director
Teaching for Learning Center
University of Missouri