Collaborating to Create: A Team-Based, Data-Driven Approach to Developing Generative AI Educational Resources

This individual presentation will describe the creation, management, and data-driven outcomes of a project team assembled in response to burgeoning interest in and concern over the use of AI tools in higher education. The presenters will discuss the process of guiding what began as an ad-hoc interest group into a large-scale, multi-faceted team to enable student learning about AI, based on gathered data. The team is co-led by two librarians, and consists of full-time library staff, instructional development staff, and student library workers. The team collaborates on a suite of projects that include: gathering and analyzing data about current use of AI on campus via a pop-up survey; an IRB survey; an interactive tutorial on the ethical use of AI in coursework; an AI tools resource guide; an external, campus workshop addressing algorithmic bias and bias in AI; and an internal, library workshop on AI in library instruction. Attendees will leave with an understanding of the project components; lessons learned; and insight on how the project outputs address diverse student perceptions and needs surrounding generative AI.