Ai In Management Education: Taking Stock and Looking Forward

Authors:

Yifeng Fan | (yfan@fairfield.edu)
Fairfield University United States
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Emily Tarr | (etarr@csusm.edu)
California State University San Marcos United States
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Jason Myrowitz | (Jason.Myrowitz@nau.edu)
Northern Arizona University United States
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Mariya Gavrilova Aguilar | (Mariya.GavrilovaAguilar@unt.edu)
University of North Texas United States
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Alexandra Dunn | (alexandra.dunn3@gmail.com)
University of Mary Washington United States
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Michael Kirchner | (kirchnem@pfw.edu)
Purdue University Fort Wayne United States
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Tammi Redd | (tredd@ramapo.edu)
Ramapo College of New Jersey United States
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Keywords: Artificial Intelligence; engagement; academic integrity

Abstract: This panel, "AI in Management Education: Taking Stock and Looking Forward," examines the current status quo in the integration of Artificial Intelligence (AI) in management education. It reflects on a year's experimentation since ChatGPT's introduction, evaluating how AI reshapes pedagogical methods in management education. The focus is on both theoretical and practical aspects, addressing AI's potential to improve engagement with students and streamline administrative tasks, as well as the challenge and ambiguity with the application of AI. By sharing our experiences, we aim to foster a forward-thinking dialogue essential for all management educators adapting to technological advancements in the classroom.