Four Faculty AI Guides Discuss Lessons Learned
I was impressed with the assignments that our Faculty AI Guides shared through this collection, so I invited four of the Guides onto my podcast to share their reflections on lessons learned. One thing that crystalized for me during our conversation was that integrating AI into an assignment involves attention to domain knowledge (the subject you're teaching), AI knowledge (how to get useful results from AI), and self-knowledge (knowing when AI will and will not be useful to my learning).
Kiera Allison: "What students learn very quickly is what AI is actually capable of and what it's not capable of. And in that context, they learn how to pivot and adapt. So they can try a thing and see if AI helps them achieve it. And if it doesn't, they pivot and try something else. So it was, I think, a good way for students to get a feel for the technology in the context of what they were learning, which specifically was persuasion, how to be persuasive, and also to understand what AI could do to fill out their capabilities. So they're learning about AI and they're also learning about themselves and how those two agents can converge to do something hopefully bigger than either of them could do alone."