AI Ate My Homework

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...

Dr. Andrea Olinger and Cecilia Durbin return to the scene of the crime in this episode of "AI Ate My Homework." Previously, AI took on their research assignment, and the results revealed how students' approach to classroom work is shifting. The conversation broadens to look at what that shift means for teachers. They talk through process, reading, metacognition, and grading. They ask...

Dr. Andrea Olinger, Director of Composition, and instructor Cecilia Durbin walk us through a multi-part "detective story" research assignment sequence. These assignments, designed to slow students down and think critically, emphasize process over product. Listen as we discuss how the AI tool mimics student voice, (sometimes) cites real world sources, and even exceeds some of the expectations for t...

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 w...

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 f...

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 refre...