Physician Associate Student Use of Large Language Models to Support Learning: A Phenomenological Study

Didactic PA students interviewed for this study actively incorporate generative AI into their learning through trial, reflection, and adaptation. Despite limited institutional direction, participants demonstrated emerging digital literacy and critical engagement. These findings underscore the need for AI-integrated curricular frameworks and faculty development to support the ethical and pedagogically sound use of AI by students. Programs that partner with learners in this evolving landscape may better prepare future clinicians for technology-enhanced practice.

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Publication Details

Journal
The Journal of Physician Assistant Education
Published
2025-12-24
DOI
https://doi.org/10.1097/jpa.0000000000000733
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Physician Associate Student Use of Large Language Models to Support Learning: A Phenomenological Study

Stephanie Neary, Christopher Roman, David E. Bunnell
The Journal of Physician Assistant Education
Artificial Intelligence in Healthcare and Education
article

Physician Associate Student Use of Large Language Models to Support Learning: A Phenomenological Study

Stephanie Neary, Christopher Roman, David E. Bunnell
article en

Abstract

Didactic PA students interviewed for this study actively incorporate generative AI into their learning through trial, reflection, and adaptation. Despite limited institutional direction, participants demonstrated emerging digital literacy and critical engagement. These findings underscore the need for AI-integrated curricular frameworks and faculty development to support the ethical and pedagogically sound use of AI by students. Programs that partner with learners in this evolving landscape may better prepare future clinicians for technology-enhanced practice.

The Journal of Physician Assistant Education
Butler University (US), University of Maryland, Baltimore (US), University of Maryland Medical Center (US), Connecticut Mental Health Center (US)
Quality Education
Openalex Percentile: Top 40%
Artificial Intelligence in Healthcare and Education
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