Additional information
by Nick Gaspar (Author), Tazin Daniels (Foreword by)
This guide provides educators with practical tools for integrating artificial intelligence into their K-12 and higher education classrooms.
This user-friendly book breaks down technical concepts to make AI understandable for educators without a background in technology. It builds from trusted frameworks and connects AI to the methods and expertise educators already bring to their teaching. Key topics include the basics of generative AI, prompt design, classroom integration, ethical concerns, assessment design, and academic integrity. Rather than treating AI as a challenge to work around, this guide encourages educators to see it as a way to accelerate learning and support students more effectively. With examples, case studies, strategies, and activities drawn from real teaching contexts, readers will learn how to set clear expectations for AI use and build classroom cultures where students engage with AI in thoughtful and practical ways. Transforming Teaching With Generative AI offers teachers, teacher educators, instructional designers, and academic leaders a clear framework for using AI with purpose and on their own terms. Book Features:- Offers a real-world approach to using AI in education, including how to think critically about ethical challenges while staying focused on student learning.
- Uses clear explanations of complex topics, from large language models to writing successful AI prompts.
- Provides guidance for using AI to craft assignments, assessments, and personalize student learning.
- Aligns new tools with existing teaching goals and values, including connecting AI integration to trusted models like TPACK and TILT.
- Includes user-friendly features for busy educators, such as sample prompts, checklists, and discussion questions that support reflection and ease of implementation.
Author Biography
Nick Gaspar is director of online and digital education at the University of Michigan-Flint and serves on the university's Generative Artificial Intelligence Advisory Committee.
Number of Pages: 176
Dimensions: 0.39 x 8.94 x 6.26 IN
Publication Date: December 19, 2025
