What Students Should See Us Doing With AI?

Nick Husbye returns for a second conversation with Azadeh and Guy. The first question is about modeling. Pre-service teachers learn as much from how we use AI in our own courses as from anything we teach about it. Nick describes narrating his AI use out loud, writing AI expectations directly onto assignment sheets, and showing students where the tool failed him. He walks through a Claude skill he built from research on multiple-choice item design to revise his quiz banks, and the flawed items that still slipped through. The one thing he never wants students to see is him handing his pedagogical thinking over to AI, or blaming a bad question on the tool. The conversation turns to instructors whose strong reactions to AI end up teaching students to hide their use. Nick shares how his summer children’s literature course moved from a stack of AI slop to an assignment where students submit their full chat dialogue. In the second half, Guy asks how to prepare teachers for schools with AI policies that range from open access to complete bans, often with mentor teachers who are behind on the technology. Nick starts with what teachers can control, which is their own preparation. He also talks about using AI to put expert knowledge into words for novices, protecting human connection in a world of self-checkout lanes, and building the professional confidence to know when to adopt and when to hold a line. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit guyonai.substack.com