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AI, Friction, and the Future of Teaching and Learning: Lessons from Gemini 3

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Manage episode 520951521 series 3563098
Content provided by Craig Van Slyke. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Craig Van Slyke or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Are you ready to rethink how AI is shaping higher education? Join Craig and Rob in episode 27 of AIGTC as they dive into the recent agentic shift in AI models like Google’s Gemini 3—and what this means for students, faculty, and the future of learning.

In this thought-provoking conversation, Craig shares his unsettling experience with Gemini 3’s “agentic” behavior, where AI takes the reins with minimal user input—even when that’s not what the user asked for. The hosts examine how this frictionless, super-helpful technology might make academic shortcuts easier than ever, removing the crucial learning struggles that foster true understanding. Are we on the verge of a “skill inversion,” where students need expertise just to avoid cheating themselves out of learning?

But it’s not all doom and gloom: Rob and Craig explore actionable solutions for instructors, focusing on process-oriented teaching, project-based learning, and authentic reflection assignments that resist easy automation. They challenge educators to try just one process-focused change in their next class and offer themselves as resources for peer collaboration and feedback.

Throughout the episode, you’ll discover:

  • Why “agentic” AI could undermine deep learning—and what to do about it
  • The hidden dangers of frictionless assignment completion for student growth
  • Practical strategies to make student assessment more process-driven and meaningful
  • How reflection and professionalism can help students stand out in the AI era
  • The importance of radical thinking and institutional adaptation for the future of higher ed

Plus, stay tuned for details on AIGTC’s first-ever live stream at the International Conference on Information Systems, and learn how you can join the hosts in Nashville or virtually for engaging Q&A and networking. The live stream will be held from 17:00 - 18:00 US Central time (UTC - 6). Link forthcoming.

If you’re an educator, administrator, or student eager for honest insights and expert advice on navigating AI in academia, this episode is essential listening. Discover how you can control what you can—and embrace the challenge of teaching and learning in an AI-driven world.

Mentioned in this episode:

AI Goes to College Newsletter

  continue reading

29 episodes

Artwork
iconShare
 
Manage episode 520951521 series 3563098
Content provided by Craig Van Slyke. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Craig Van Slyke or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Are you ready to rethink how AI is shaping higher education? Join Craig and Rob in episode 27 of AIGTC as they dive into the recent agentic shift in AI models like Google’s Gemini 3—and what this means for students, faculty, and the future of learning.

In this thought-provoking conversation, Craig shares his unsettling experience with Gemini 3’s “agentic” behavior, where AI takes the reins with minimal user input—even when that’s not what the user asked for. The hosts examine how this frictionless, super-helpful technology might make academic shortcuts easier than ever, removing the crucial learning struggles that foster true understanding. Are we on the verge of a “skill inversion,” where students need expertise just to avoid cheating themselves out of learning?

But it’s not all doom and gloom: Rob and Craig explore actionable solutions for instructors, focusing on process-oriented teaching, project-based learning, and authentic reflection assignments that resist easy automation. They challenge educators to try just one process-focused change in their next class and offer themselves as resources for peer collaboration and feedback.

Throughout the episode, you’ll discover:

  • Why “agentic” AI could undermine deep learning—and what to do about it
  • The hidden dangers of frictionless assignment completion for student growth
  • Practical strategies to make student assessment more process-driven and meaningful
  • How reflection and professionalism can help students stand out in the AI era
  • The importance of radical thinking and institutional adaptation for the future of higher ed

Plus, stay tuned for details on AIGTC’s first-ever live stream at the International Conference on Information Systems, and learn how you can join the hosts in Nashville or virtually for engaging Q&A and networking. The live stream will be held from 17:00 - 18:00 US Central time (UTC - 6). Link forthcoming.

If you’re an educator, administrator, or student eager for honest insights and expert advice on navigating AI in academia, this episode is essential listening. Discover how you can control what you can—and embrace the challenge of teaching and learning in an AI-driven world.

Mentioned in this episode:

AI Goes to College Newsletter

  continue reading

29 episodes

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