What does it look like for AI to do the homework in your class? In the "AI Ate My Homework" podcast, host Jason Zahrndt and faculty guests examine the results when AI completes actual assignments from the University of Louisville, revealing both surprising capabilities and telling limitations. Through these candid conversations, we uncover practical insights about teaching in the age of AI, explore how assessment needs to evolve, and investigate the balance between technological efficiency and authentic learning. AI Ate My Homework © 2025 by Jason Zahrndt is licensed under CC BY-NC-SA 4.0
Dr. Jason Cumberledge, professor of Performance Studies, describes how GenAI tools can complete major writing assignments, even anecdotal, personal stories, in a marching band methods course. Listen as we discuss how creative disciplines are adapting to the advent of AI and consider what the work of music educators may be as these tools become more ubiquitous.
In our third episode of "AI Ate My Homework," strategic communications professor Dr. Karen Freberg shares valuable insights on AI's role in education through her personal branding assignment. Using a memorable "vanilla cupcake" metaphor, she explains how AI creates technically competent but ultimately soulless content lacking the authentic reflection that makes student work meaningful.
Listen as we discuss how to leverage AI as a t...
In our second episode of "AI Ate My Homework," exercise physiology professor Dr. Jason Jaggers evaluates an AI-completed cardiovascular case study assignment. The analysis reveals fascinating insights about AI's capabilities and limitations in health sciences education. While the AI correctly calculated the patient's risk factors and measurements, it showed distinct "tells" that distinguished it from genuine student work—following ...
In our inaugural episode of "AI Ate My Homework," Dr. Jay Byland from Sport Administration reflects on how AI transforms classroom dynamics through a deceptively simple leadership meme assignment. The discussion reveals how AI can produce technically correct responses while missing crucial course-specific content—demonstrating both the tool's capabilities and limitations.
Dr. Byland shares a refreshing perspective on AI as an inevi...
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