Generative AI in Higher Ed: Tips and Tricks from IR/IE Professionals Part 4

While many IR/IE professionals recognize the potential of generative AI, few have deeply explored how to integrate it into qualitative data analysis. In this fourth installment of the series, IR/IE leaders share practical ways they use generative AI to conduct sentiment analysis, text clustering, and theme analysis on qualitative data and open-text survey responses. Presenters also discuss how they leverage AI-generated imagery for reporting and presentations, while addressing important privacy and ethical considerations. Participants will leave with practical strategies to integrate AI tools into their qualitative data analysis and reporting workflows.

  • Conduct sentiment analysis, text clustering, and theme analysis on qualitative data using generative AI.
  • Leverage natural language processing to develop dynamic AI imagery for reporting and presentations.
  • Understand and discuss the privacy and ethical considerations of using generative AI for thematic analysis.

Registration Information

Recording will be available for 30 days after purchase.

Length/Time Commitment

2 Hours


Recorded Date: 05/03/2024

Format: On-Demand

Topic: Technology and Tools; Artificial Intelligence and Machine Learning

Experience Level: All

Member/Non-Member Price: $0 Member/$0 Nonmembers

Presenter(s): Shama Akhtar, Director of Institutional Surveys & Analysis, Bowie State University; Gayle Fink, Assistant Vice President for Institutional Effectiveness, Bowie State University; Jason F. Simon, Ph.D., Associate Vice President for Data, Analytics, and Institutional Research, University of North Texas; Xilin Zhang, New Jersey Institute of Technology Institutional Research Analyst

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