We enjoyed presentations by two DOLCE speakers who exemplified how faculty are navigating AI in large-enrollment courses.
The first speaker was Julie Sze, Professor of American Studies.
Provocatively,
she titled her DOLCE talk “CODE RED: AI.” The subtitle is “Thinking
about Critical Thinking, Skills Development and More in a large-lecture
GE Humanities Course.” Professor Sze talked about recent shifts in
her lower-division GE humanities courses, with a specific focus on
questions of equity. Professor Sze discussed her thoughtful approach to assignments, her
AI policies and concerns, and her work with teaching assistants in
large-enrollment courses. We were glad to hear from this first-time DOLCE
speaker.
The second speaker was Julia Chamberlain, Associate Professor of Teaching from the Department of Chemistry.
A
favorite past presenter, Dr. Chamberlain discussed her experiences
teaching chemistry using AI to summarize student responses to “muddiest
point” and “just in time” surveys administered in Canvas, for the
purpose of increasing instructor immediacy in the classroom. The title
of her talk is “Can Artificial Intelligence Shrink My Class? Using Chat
GPT to process student survey responses for a large lecture course.”
