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🎙️ Welcome to another episode of Revise and Resubmit! 🎙️

Today, we’re diving ears-first into a topic that’s reshaping the soundscape of higher education. What if textbooks could talk? What if your syllabus could serenade you? What if the future of learning… sounded like a podcast?

🎧 In this episode, recorded from the CHI Conference on Human Factors in Computing Systems 2025, held in the vibrant tech haven of Yokohama, Japan 🗾 from April 26 to May 1, we explore a trio of thought-provoking studies that ask:

Can AI-generated podcasts really transform how we teach, learn, and communicate research? 🤖🎓🎙️

Let’s meet PAIGE—not a person, but a full paper that takes personalization to the next level. This study flipped through more than just textbook pages. It converted entire chapters into AI-generated podcasts and personalized them to match student majors, interests, and learning styles. 📚➡️🎧 The result? Students not only enjoyed learning more—they learned better. But… only in some subjects. Curious? So are we.

Next, we ask: What happens when AI becomes your research narrator? The second paper, an extended abstract, invites us into the minds of researchers reacting to hearing their own work... retold by a machine. How accurate was the story? Did the AI get the tone right—or did it miss the nuance? And what does that mean for the future of AI-assisted science communication?

Finally, we reflect with a diary study that tracked the real-life impact of AI-generated podcasts in classrooms. Over a month, students shared their daily experiences—what worked, what didn’t, and what felt a little… robotic. It’s a candid look at the benefits, the bugs, and the big opportunities ahead.

💡 Whether you're an educator, a technologist, or just podcast-curious, this episode is your backstage pass into the future of AI, audio, and academia.

But before we tune out, a huge THANK YOU to all the incredible authors, the insightful hosts and moderators of these CHI 2025 sessions, and our generous sponsor, ACM SIGCHI, and publisher, the Association for Computing Machinery (ACM). 🙏🧠

🎉 Don't forget to subscribe to Revise and Resubmit on Spotify and the Weekend Researcher YouTube channel 📺 — and yes, we’re also streaming on Amazon Prime and Apple Podcasts! 🎧🍎📦

✨ Now here’s the question that will echo long after the episode ends:

If AI can narrate your lessons, who gets to author your learning experience? 🤔💭

Catch you in the next episode—until then, keep questioning, keep learning, and above all… keep revising. 🔁📚🎙️

Reference

Dennis Benner, Jannik Rauch, Andreas Janson, and Jan Marco Leimeister. 2025. An Explorative Diary Study of AI-Generated Podcasts in University Education: Benefits, Challenges, and Future Directions. In Proceedings of the CHI EA '25. Association for Computing Machinery, New York, NY, USA, Article 70, 1–8. https://doi.org/10.1145/3706599.3719957

Quan Connie Gu, Daniel Hickey, and Kimiko Ryokai. 2025. When AI Tells Their Story: Researchers’ Reactions to AI-Generated Podcasts as a Tool for Communicating Research. In Proceedings of the CHI EA '25. Association for Computing Machinery, New York, NY, USA, Article 597, 1–6. https://doi.org/10.1145/3706599.3719971

Tiffany D. Do, Usama Bin Shafqat, Elsie Ling, and Nikhil Sarda. 2025. PAIGE: Examining Learning Outcomes and Experiences with Personalized AI-Generated Educational Podcasts. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25). Association for Computing Machinery, New York, NY, USA, Article 896, 1–12. https://doi.org/10.1145/3706598.3713460

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