Episode

9 Jan 2023 · 25 min

0:00

In this episode of the Class Disrupted podcast, hosts Diane Tavener and Michael Horn open the new year by reflecting on the pandemic’s impact on education and then dive into the surge of interest around generative AI, especially ChatGPT. Michael gives a concise lay‑person’s description of how ChatGPT works—predicting the next word after training on massive internet text—while Diane shares her hands‑on experience using it with college students and notes its uncanny ability to produce plausible but sometimes inaccurate answers. They survey the polarized public discourse, citing voices ranging from those who see AI as a cheating threat to those who view it as a writing calculator or a level‑er, and they highlight a particularly alarmist Atlantic article that claims high‑school English is obsolete. The conversation then shifts to the sustaining‑versus‑disruptive innovation framework, with Michael explaining the theory and questioning where AI fits. Diane argues that the real issue is not the essay itself but the bundle of micro‑skills (research, thinking, writing) it is meant to develop, and she stresses the need to break these down for effective instruction. She proposes concrete classroom applications: using AI‑generated exemplars for students to critique, leveraging AI for rapid feedback, and redesigning assignments to focus on skill development rather than rote completion. Michael reinforces that technology’s impact depends on the surrounding model, noting that AI can be a sustaining innovation for search while also holding disruptive potential. The episode concludes with both hosts agreeing that AI is a powerful tool best used within re‑imagined learning environments, not as a silver bullet, and they share personal holiday reading and viewing recommendations. Throughout, the dialogue balances optimism with caution, emphasizing practical pedagogy over hype.

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