Takeaways from a Season of AI in Education

10 Jun 2026 · 88 min
1:28:02

In the concluding episode of their AI in Education series, Michael Horn and Diane Tavenner discuss the rapid emergence of restrictive policies banning technology and AI in schools, critiquing the lack of nuance and the challenges of policing such rules. They examine the mixed effectiveness of edtech, emphasizing the need for outcomes‑based contracting, rigorous evaluation (RCTs), and clear metrics. The conversation revisits school design models—station rotation, flex, and micro‑school experiments like Alpha—highlighting how families perceive radical changes and the role of traditional assessment measures versus mastery‑based approaches. They reflect on shifting public sentiment toward AI, the tension between innovation and regulation, and the future landscape of school models, questioning whether a portfolio of models will emerge. The hosts wrap up by sharing personal reading and podcast recommendations, expressing hope for a calmer policy environment, inviting audience input for the next season, and thanking sponsors and listeners.

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