Outsmarting AI: Assignments and Exams that Minimize the Risk of Plagiarism

Jason Myrowitz, Northern Arizona University (United States)
Email: jason.myrowitz@nau.edu

Felix Fan, Fairfield University (United States)
Email: yfan@fairfield.edu

Tammi Redd, Ramapo College (United States)
Email: tredd@ramapo.edu

Mariya Gavrilova-Aguilar, University of North Texas (United States)
Email: Mariya.GavrilovaAguilar@unt.edu

Emily Tarr, California State University San Marcos (United States)
Email: etarr@csusm.edu

Alexandra Dunn, University of Mary Washington (United States)
Email: alexandra.dunn3@gmail.com

Keywords: Textbook, Plagiarism, ChatGPT

Abstract: Plagiarism is becoming an existential threat to education thanks to the prominence of online test bank repositories and artificial intelligence content generators. ChatGPT is the most notable of these, and much has been written in the popular press recently about how faculty need to be concerned about this nascent technology. In this roundtable discussion, we will challenge the hype and investigate whether AI truly creates an opportunity for us to reevaluate the type of assignments that lead to higher-level learning. Come add to the conversation and learn best practices to combat plagiarism in the age of machine learning.