Teaching More Effectively with ChatGPT

·39 min·3 clips

How did ChatGPT suggest using art forgery and AI plagiarism to teach statistical bias rules?

The episode begins with hosts John Kane and Rebecca Mushtare introducing guests Dan Levy and Angela Perez-Albertos, authors of 'Teaching Effectively with ChatGPT'. Dan is an economist and senior lecturer at Harvard, while Angela is a graduate of Harvard Kennedy School and works at Innoverment. They discuss the book's purpose: to provide practical examples for using AI in teaching and learning. Three pedagogical principles are outlined: being student-centered, planning for active learning, and beginning with the end in mind. Examples of ChatGPT's use include redesigning a statistics class activity on bias rules, where AI suggested topics like art forgery detection and AI plagiarism. Dan shares how ChatGPT helped clarify learning goals for an assessment question. The hosts note AI's role in implementing TILT (Transparency in Learning and Teaching). Classroom applications are explored, such as Mitch Weiss's activity using AI for idea generation and Dan's custom GPT that analyzes student group work to produce debrief slides. The conversation shifts to assessment, with Dan separating design from feedback, arguing AI can enhance creativity in design and, if used transparently, complement human grading. Angela highlights student learning uses, like a medical student generating practice questions and personalized explanations for risk management. The hosts mention a campus reading group that experimented with the book. Customization features are detailed, including ChatGPT projects for course-specific instructions and files, and custom GPTs for shareable tools like tutor bots. Dan expresses skepticism about reliably detecting AI use, calling it a 'lost battle'. Updates since the first edition are covered, such as ChatGPT 5's automatic model selection and enhanced customization. The companion website is noted for ongoing updates with prompts and examples. The episode concludes with news of a Spanish edition and thanks.

As heard by us

A grounded look at using AI to broaden feedback while keeping faculty judgment in view.

Teaching Effectively with ChatGPT frames generative AI less as a novelty than as a pressure test for teaching itself: where students get practice, how feedback arrives, and what faculty can realistically assess when time is tight.

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Why you'd press play

You want more student practice and timely feedback, with AI kept visible and faculty judgment still in the room.

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