Backward Design in the Age of AI: From Coverage to Deep Learning with Jay McTighe

In this episode, I sit down with Jay McTighe to revisit the core principles of backward design and why they matter more than ever in today’s classrooms. We unpack the ongoing tension between content coverage and deep learning, and what it really means to design for understanding and transfer. Our conversation explores the power of performance tasks as a way to shift from simply learning content to applying learning in meaningful, authentic contexts. We also examine how AI can serve as a design partner, helping educators clarify goals, rethink assessment, and create more purposeful learning experiences. Check out Jay’s work! https://jaymctighe.com/ https://www.linkedin.com/in/jaymctighe