Case Study: Using Generative AI to Analyze Continuing Education Participant Feedback
Monday, October 14, 2024 at 11:40 AM–12:00 PM PDT
Plaza B
Presentation Type
Lightning Sessions (20 minutes)
Presentation Abstract (250 word max.)
There is general recognition that participant feedback provides indispensable insights that can be used by instructors, administrators, and staff to enhance teaching materials and improve the overall learner experience in programs. Processing and analyzing this feedback from relatively small sample sizes is a task that can be reasonably accomplished by many people in an organization.
But what happens when a large data set is pulled together? How can a team that does not have a qualitative expert on staff nor desire to engage in the time it would take to perform a formal analysis of the data proceed? You leverage the power of Generative AI and Large Language models.
Primary Presenter
Kiel Norris, University of Georgia
Additional Presenters
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