Invited Paper Session

Advancing Statistics Education through AI: Research-Based Insights and Pedagogical Innovation

Wed, Aug 5, 8:30 AM - 10:20 AM Room CC-156A Thomas M. Menino Convention & Exhibition Center

Taeyong ParkOrganizerKeegan KangOrganizerPeter FreemanChair

Section on Statistics and Data Science Education co: ASA-MAA Joint Committee on Undergraduate Statisticsco: Business Analytics/Statistics Education Interest Group Applied

5 Presentations

Evaluating Statistical Reasoning in Generative AI: Evidence from Exam Responses Across Educational Levels

8:35 AM - 8:55 AM

Monnie McGee (Southern Methodist University)

structural topic modeling generative AI statistics and data science education academic integrity digital divide assessment

The role of large language models in writing assignments in statistics and data science courses

8:55 AM - 9:15 AM

Alex Reinhart (Carnegie Mellon University)

large language models generative AI corpus linguistics

Structuring AI For the Future of Data Science: A JSON-Based Prompt Engineering Framework

9:15 AM - 9:35 AM

Immanuel Williams (California Polytechnic State University)

Co-authors: Sam Otto (California Polytechnic State University San Luis Obispo)

Prompt Engineering AI Literacy Critical Thinking Data Science Statistics

AI as an Ally: Integrating AI Tools to Improve Learning

9:35 AM - 9:55 AM

William Cipolli (Colgate University)

Statistics Education Educational Technology Peedagogy

Authentic assessment with oral exams

9:55 AM - 10:15 AM

Jonathan Wells (Grinnell Colege)