Upper Peninsula Teaching & Learning Conference - 2026

Generative AI tools are increasingly used in teaching and learning, yet many classroom implementations rely on familiar formats such as quizzes, summaries, and short responses. While useful, these approaches can overlook opportunities for deeper engagement, reflection, and skill development.


This interactive session introduces ten practice-based learning activities that instructors can use with large language models (LLMs) to support higher-order thinking and meaningful student interaction. Drawing on recent work in instructional design and AI-supported learning, participants will explore activities such as Rapid Fire questioning, AI-facilitated post-mortems, adaptive case studies, devil’s advocate debate, decision-based simulations, and assumption-testing exercises. These approaches position AI as a facilitator, challenger, and reflective partner rather than a replacement for human judgment.


Participants will experience several of the activities in real time and discuss how they can be adapted across disciplines, modalities, and course levels. The session will also introduce practical strategies for helping students engage with AI responsibly by distinguishing between ethical guidelines for AI use and integrity-driven behaviors such as verification, transparency, and critical questioning.


Attendees will leave with adaptable activity templates, starter prompts, and practical ideas for incorporating AI-supported practice into their own courses while maintaining human-centered learning design.