Deep Work in the Age of AI: Protecting Teacher Thinking with Robert Mayfield (Part 1)

What this episode covers

In this episode, I chat with Robert Mayfield about a growing tension in education: teachers aren’t necessarily resistant to AI, they’re resistant to more fragmentation. We explore how the structure of teaching leaves little room for the deep thinking required to design meaningful learning experiences and why AI should be used to create space for that work, not add to teachers’ cognitive load. Robert shares powerful examples from classrooms, including how one teacher’s perspective on AI completely shifted when she saw its potential to support student thinking and reclaim teacher time. We also discuss the difference between simply putting together lessons and intentionally designing them, along with small, realistic ways educators can begin protecting time for reflection, analysis, and instructional decision-making. Related Blog: Deep Work in the Age of AI: The Case for Protecting Teacher Thinking (Part I)

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