Abstract

We present a large-scale project in Data Science to assess competency of human and machine learners. Benefits from our research include equity in learning opportunities and outcomes along with the mitigation of academic misconduct using ChatGPT. Strategies, implementation (i.e. study design and data collection), results, future work, and applications are presented and discussed.

Presenters

Matthew Brenneman
Assistant Professor, Mathematics, Embry-Riddle Aeronautical University, Florida, United States

Hong Liu
Professor, Mathematics, Embry-Riddle Aeronautical University, Florida, United States

Details

Presentation Type

Poster Session

Theme

Knowledge Makers

KEYWORDS

CHATGPT, EQUITY, ACADEMIC MISCONDUCT, ASSESSMENT, TESTING

Digital Media

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