Friction, Uncertainty and the Future of Learning with Justin Reich S11E3 (142)

In this episode, Louka Parry is joined by Justin Reich, Associate Professor of Digital Media at MIT and Director of the MIT Teaching Systems Lab, for a thoughtful conversation about AI, schooling and the future of learning. Together, they explore how generative AI is disrupting familiar classroom practices, why friction and productive struggle still matter deeply for learning, and how schools can respond when there is no clear “best practice” to follow. Justin argues that educators should be cautious of easy answers and instead listen closely to students and teachers, run local experiments, and assess what is actually improving learning rather than just performance. The conversation also dives into assessment, agency, cognition, technology’s mixed record in education, and the importance of humility in a time of rapid change. It’s a rich and grounded discussion about uncertainty, experimentation, and what schools should hold onto as they navigate an AI-shaped future.