Document Type (Journals)
Educational and Instructional Technology
Abstract
Generative artificial intelligence (GenAI) is a developing technology within Higher Education Institutions with substantial potential to transform teaching pedagogy, improve individualized learning experiences, and automate administrative functions. GenAI has the potential to bring significant enhancements by advancing adaptive learning interfaces, customized learning materials, and automate administrative support. Despite these benefits, ethical considerations, data privacy, and the risk of over-reliance should be considered prior to using GenAI. The authors highlight how GenAI is supported by adult learning theory and provide practical strategies for incorporating GenAI in the occupational therapy curricula and to support the faculty role. The impact of GenAI on individualized learning, communication, and clinical training is explained. Challenges are discussed in the form of ethical use and mitigation strategies for the integration of GenAI. Additionally, the authors demonstrate how GenAI can be used by students and teachers to enhance learning outcomes while encouraging critical thinking skills.
Biography
James Wersal, OTD, MSOT, OTR/L, CBIS, DRS is a PhD student at Rocky Mountain University of Health Professions and an educator at the University of Saint Augustine. His research interest includes the integration of technology in education and clinical practice, Veterans’ healthcare, and neurological rehabilitation. He has been a practicing occupational therapist for 11 years.
Justin Mason, PhD is a research scientist at the Driving Safety Research Institute. Justin received his B.S. (Psychology), M.S. (Exercise Physiology), and Ph.D. (Exercise Psychology) from Florida State University, followed by postdoctoral training in Human Factors at the University of Florida. His expertise includes survey validation, biofeedback, cognitive aging, and vehicle automation.
Mary Shotwell, PhD, OTR/L, FAOTA, NBC-HWC has been an occupational therapist for 40+ years and a faculty member in several MOT and OTD programs. Her interests include pedagogy, research, neurologic, geriatric, and pediatric rehabilitation.
Declaration of Interest
The authors report no declarations of interest.
Recommended Citation
Wersal, J., Mason, J., & Shotwell, M. (2026). Generative Artificial Intelligence Application in Occupational Therapy Education. Journal of Occupational Therapy Education, 10 (1). Retrieved from https://encompass.eku.edu/jote/vol10/iss1/15
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