Episode

21 Dec 2023 · 37 min

0:00

In this end‑of‑year podcast episode, Michael Horn and Diane Tavenner reflect on three recent interviews with Todd Rose, Irham Shafkat, and Tim Knowles, using them as lenses to examine the biggest education trends of 2023. They discuss the growing anxiety around AI and argue that useful educational AI tools will be built around well‑defined, scripted interactions rather than open‑ended chat. They explore how schools are fundamentally disrupted by trying to serve too many jobs at once, invoking a jobs‑to‑be‑done framework and the idea that schools should focus on a single, clear purpose. The conversation turns to assessment, where they praise the Carnegie‑ETS partnership for targeting cognitive skills and habits of success that current standards miss, and they debate how to create simple, “quick‑and‑dirty” assessments that are both valid and scalable. They critique the legacy Carnegie Unit of time, noting its misalignment with modern pathways and its impact on low‑income learners. Finally, they consider a shifting definition of success across generations, the tension between traditional prestige (college as a destination) and newer views of education as a means to develop agency, skills, and career readiness. The episode ends with personal reading recommendations and a hopeful, reflective tone about the year ahead.

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