Azadeh and Guy on 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

In this episode, Guy and Azadeh talk with Nick Husbye, associate professor of literacy at the University of Nebraska–Lincoln and Guy’s co-host on Not That Kind of Doctor, about how he uses AI with preservice teachers. Nick’s guiding principle is that AI should amplify thinking rather than export it. Consumer models are good at organizing information, spotting patterns, and naming strengths and weaknesses in what we give them. They do not produce wisdom, and pedagogical content knowledge is a form of wisdom.Nick describes how his students draft lesson plans by hand in class, photograph them, and then use AI to stress-test the plan through an instructional coach persona he built. He explains why that persona gave better feedback than a “veteran teacher” persona. The conversation turns to authorship, the em dash witch hunt, and why critical literacy frameworks that assume a human author cannot simply be extended to AI-generated text. Guy and Nick close on what AI exposes about five-paragraph templates and the assessments that drive them, and on the responsibility teacher educators carry for preparing teachers for the students they will teach. 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

What does AI adoption look like when you're the principal, counselor, tech director, and social studies teacher all at once? In this episode, Guy sits down with Nick Ziegler, EdTech Specialist at ESU5, and Andrew Easton, Chief Learning Officer at the ESU Coordinating Council, to explore how Nebraska's Educational Service Units are helping rural schools navigate AI integration in education. From AI-generated images for world language classrooms to classroom observation devices trained on high-quality instructional materials, the conversation covers practical AI tools for teachers, digital citizenship frameworks, and an exciting statewide professional development event. If you care about educational equity and AI literacy, this one's for you.Link to TLI Professional Learning 2026-2027 ~ October 22, 2026:https://esupo.org/workshops/SectionDetails.aspx?SectionID=1960 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

What happens when AI can finally deliver one-on-one tutoring at scale, but students use it to skip learning entirely? Azadeh and Guy sit down with Dr. Seyyed Ahmad Rahimi, Associate Professor of Learning Sciences and AI at Georgia Tech, to explore the tension between AI-powered performance and genuine learning. They unpack stealth assessment, productive failure, and the SAIL framework for safe AI integration in education. Dr. Rahimi also shares groundbreaking research on using large language models to assess creativity, and what it means to raise lifetime learners in an AI-driven world. If you care about the future of human thinking, this episode is essential listening. 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

What happens when AI enthusiasts show up at an engineering education conference? Azadeh returns from the ASEE Midwest Conference with fresh insights on how engineers and faculty are grappling with artificial intelligence in the classroom. From agentic AI workshops to qualitative research on students delegating AI tasks, this episode unpacks the nuanced tension between AI support and AI replacing student thinking. Azadeh and Guy explore entrustment frameworks, longitudinal studies on generative AI use, and why a little technical knowledge still matters in an AI-powered world. If you care about AI literacy in higher education, this one's for you. 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