This presentation explores a novel approach to leveraging AI in education, not as a replacement for critical thinking, but as a catalyst for it. We'll delve into a case study where students used AI Large Language Models (LLMs) to analyze a business case, and then reflect on the AI's strengths and weaknesses. The surprising outcome? Students produced unusually insightful and lengthy reflections, demonstrating a level of engagement and ownership rarely seen in traditional assignments. This presentation will unpack the pedagogical principles behind this success, focusing on how AI-assisted assignments can naturally incorporate spiraling, spaced repetition, and agency -- three key elements for deep and lasting learning. Participants will leave with practical strategies for designing their own AI-enhanced assignments to promote deeper learning in their classrooms.
