Artificial Intelligence’s Role in Student Plagiarism: A Graduate University’s Model of Best Practices

Authors

  • James D. Halbert Adler University
  • Donna DiMatteo-Gibson Adler University
  • Marianne Cabrera Adler University
  • Tricia Mazurowski Adler University
  • Maleka Ingram Adler University

DOI:

https://doi.org/10.33423/jlae.v21i3.7208

Keywords:

leadership, accountability, ethics, AI, plagiarism, model of best practices, Turnitin, Grammarly, training

Abstract

This white paper discusses a model of best practices to better identify and address plagiarism issues with students using AI. It serves as an example to help younger institutions that may not have a policy in place to recognize the importance of hitting this head-on. By creating a taskforce, we were able to quickly come to a resolution for a university that has three campuses in Chicago, Online, and in Vancouver, BC. We also share best practices that will help current professors and core faculty alike in dealing with plagiarism from students using AI in their work. We end with a discussion of examples that support this effort.

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Published

2024-09-02

How to Cite

Halbert, J. D., DiMatteo-Gibson, D., Cabrera, M., Mazurowski, T., & Ingram, M. (2024). Artificial Intelligence’s Role in Student Plagiarism: A Graduate University’s Model of Best Practices. Journal of Leadership, Accountability and Ethics, 21(3). https://doi.org/10.33423/jlae.v21i3.7208

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Section

Articles