Teaching & Learning with AI
Description
Students often default to surface-level AI prompts like "explain step by step," missing opportunities for deeper learning. This session shares evidence-based strategies for teaching students to prompt AI as a metacognitive practice. Drawing from pilot classroom data in calculus, participants will learn the PRO Framework and specific prompting techniques that enhance conceptual understanding. Attendees will leave with practical strategies they can immediately implement across disciplines, transforming AI from an answer machine to a genuine learning tool.
Publication Date
2026
Keywords:
prompt-engineering; metacognition; conceptual-understanding
Subjects
Prompt Engineering; Generative AI
Session Type
Presentation (30 Minutes)
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Recommended Citation
Campbell, Jared and Park, Joo Young Ph.D, "Teaching Students to Prompt AI for Understanding: Evidence-Based Strategies from a Calculus Course" (2026). Teaching & Learning with AI. 7.
https://stars.library.ucf.edu/teaching-and-learning-with-ai/7
Handout