Date of Award
2025-08-01
Degree Name
Doctor of Philosophy
Department
Teaching, Learning and Culture
Advisor(s)
Daniel A. Tillman
Second Advisor
Song A. An
Abstract
As healthcare education evolves to address emotionally complex scenarios such as palliative and end-of-life care, there is an increasing need to integrate both technical and emotional competencies into training. This interpretive phenomenological study explored how artificial intelligence (AI) and augmented reality (AR)-enhanced immersive simulations shape healthcare students' empathy and self-efficacy. Grounded in Rogers' Client-Centered Theory and Bandura's Social Cognitive Theory, the research investigated the lived experiences of healthcare students and educators who participated in emotionally realistic simulations using AI-driven manikins and auditory AR features. Data were collected through semi-structured interviews and analyzed using a hybrid inductive-deductive coding framework, incorporating in-vivo coding to preserve participant voice (Bhattacharya, 2017; Miles et al., 2013; Smith et al., 2021). Findings revealed that AI and AR technologies acted as emotional triggers and reflective mirrors, allowing learners to practice therapeutic communication, build clinical confidence, and navigate the affective dimensions of care. Participants reported enhanced self-awareness, emotional regulation, and professional identity development through these simulations.
Language
en
Provenance
Received from ProQuest
Copyright Date
2025-08
File Size
149 p.
File Format
application/pdf
Rights Holder
Thomas Joseph Soto
Recommended Citation
Soto, Thomas Joseph, "Perceptions Of Healthcare Students And Educators On Ai And Ar In Immersive Learning: A Phenomenological Study Of Empathy And Self-Efficacy Development In Palliative And End Of Life Care" (2025). Open Access Theses & Dissertations. 4480.
https://scholarworks.utep.edu/open_etd/4480