Learning Happens in Dialogue: Instructional Prompts and Implications for Generative AI
December 1 @ 2:00 pm - 3:30 pm
Facilitator: School of Arts and Sciences Office of Undergraduate Education
Location: 202 ABC in the Livingston Student Center
What does an effective instructional explanation look like in your discipline? How do your explanations guide students rather than just “telling them” the answers? This session introduces an evidence-based framework outlining the steps and features for facilitating productive teacher-student instructional dialogue in STEM but will invite all to consider what effective instructional dialogues look like in other disciplines.
Our ability to guide students’ construction of knowledge through instructional explanations is especially important in the age of GenAI, because when learners don’t “get it” in our classes, they may turn to GenAI for explanations, which may lead to inaccuracies, passive learning, and dependency (if not used productively). Session participants will have a chance to explore and consider both possibilities and pitfalls of students accessing GenAI for instructional explanations.