AI Ate My Homework
AI Ate My Homework
Podcast Description
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
Podcast Insights
Content Themes
This podcast focuses on the intersection of artificial intelligence and education, exploring topics like teaching with AI in creative disciplines, the balance of AI efficiency versus authentic learning, and the evolving assessment needs. Episodes feature case studies such as AI's performance on writing assignments in music education and the evaluation of cardiovascular case studies in health sciences, highlighting AI's capabilities and limitations.
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. Shawnise Miller, Dr. Emi Ramirez, and Dr. Jennifer Bobo from the Raymond A. Kent School of Social Work and Family Science share how they moved from initial AI apprehension to intentional, practical classroom use. They offer concrete examples, including Blackboard's built-in AI for rubrics, ChatGPT for instructional support, and their own AI teaching assistant, ”Smarty Bird.” This candid conversation highlights both benefits and limitations of these tools in the classroom.
Rather than centering AI as a solution, the conversation reframes it as a teaching assistant that helps guide students back to faculty judgment, feedback, and expertise. What does it mean to stay current with technology without losing what makes teaching human?
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