Drew Perkins talks with Brian Lamb, founder of Swivl, about the "Paradox of Edtech" and how modern digital interfaces are changing the way we learn. They discuss the shift from being "data-driven" to "data-informed," the importance of "decentering" for perspective-taking, and how AI can serve as a reflective thought partner for teachers rather than a replacement for human-led instruction. Links & Resources Mentioned In This Episode Have some feedback you'd like to share? You can email me at [email protected]. If you enjoyed this episode, please share it and please leave a review on Apple Podcasts or wherever you're listening. Episode Overview: Brian Lamb and Drew Perkins explore why traditional edtech often creates a "gamified" version of reality that limits student growth. Brian explains how Swivl is pivoting toward tools that prioritize human reflection over screen time. They dive into the necessity of "decentering"—the cognitive ability to step outside one's own perspective—and how AI can be used to develop "uncomputable intelligence." The conversation also addresses the challenges of teacher preparation and how AI-supported feedback can help early-career teachers navigate the "messy reality" of the classroom. Timestamped Episode Timeline: [00:04:15] Brian's Background and the Founding of Swivl. [00:10:32] The Paradox of Edtech: Why more tech doesn't always equal more learning. [00:18:45] Gamification vs. Reality: The danger of reducing learning to "winning" a game. [00:25:12] Decentering: Why perspective-taking is a prerequisite for enlightenment. [00:32:50] Data-Driven vs. Data-Informed: Moving past rigid metrics in education. [00:41:05] Uncomputable Intelligence: The human skills AI cannot replicate. [00:52:18] Scaling Reflection: How Swivl's M2 tool supports teacher development. [00:58:40] Final Thoughts: The future of teacher-led, inquiry-based instruction.

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