Beyond Automation: Using Generative AI to Elevate Critical Thinking, Personalization, Engagement, and Analytics Instruction

Thomas M. Menino Convention & Exhibition Center 

Room: CC-156C 

Generative AI is rapidly reshaping the landscape of statistics and business analytics education, offering new opportunities to improve course design, assignment development, and feedback processes. This panel will share practical strategies for integrating AI into teaching workflows while maintaining statistical rigor and fostering student understanding.

We highlight approaches for AI-assisted case and assignment design, including adaptive scenarios in which students pose questions, request instructor-controlled synthetic data, and iteratively refine their analyses. These methods promote deeper engagement with modeling choices, assumptions, and critical thinking-core goals of statistics education.

The panel also demonstrates how AI can support assessment and feedback, from automated classwide test analysis to personalized guidance that helps students interpret results and correct misconceptions.

Attendees will leave with concrete examples, implementation tips, and considerations for responsible use of AI tools in statistics and business analytics classrooms.

Yes

Business Analytics/Statistics Education Interest Group

Caucus for Women in Statistics

Section on Statistics and Data Science Education