Nicole Harder RN, PhD , Fiha Ali MSW , Sufia Turner RN, MN , Kimberly Workum RN, MEd , Lawrence Gillman MD, MMEd
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引用次数: 0
Abstract
Introduction
Simulation-based learning (SBL) is foundational in nursing education, traditionally employing simulated patients (SPs) to create realistic clinical scenarios. Recent technological advances have introduced Artificial Intelligence-Enhanced Virtual Reality (AI-VR) as a scalable, cost-effective alternative.
Aim and Methods
This qualitative descriptive study explored undergraduate nursing students’ experiences with both AI-VR and SP simulations, focusing on perceptions of realism, psychological safety, and skill development.
Findings
While 240 students participated overall (120 in each simulation modality), in-depth qualitative data were collected from 20 third-year nursing students who experienced either approach through four focus groups. Findings revealed that SP simulations excel in fostering emotional engagement and hands-on learning, whereas AI-VR provides an intuitive, judgment-free environment conducive to rapid decision-making and iterative practice.
Conclusions
The study indicates implications for curriculum design, faculty development, and future research, advocating for an integrated approach that leverages the strengths of both modalities.
期刊介绍:
Clinical Simulation in Nursing is an international, peer reviewed journal published online monthly. Clinical Simulation in Nursing is the official journal of the International Nursing Association for Clinical Simulation & Learning (INACSL) and reflects its mission to advance the science of healthcare simulation.
We will review and accept articles from other health provider disciplines, if they are determined to be of interest to our readership. The journal accepts manuscripts meeting one or more of the following criteria:
Research articles and literature reviews (e.g. systematic, scoping, umbrella, integrative, etc.) about simulation
Innovative teaching/learning strategies using simulation
Articles updating guidelines, regulations, and legislative policies that impact simulation
Leadership for simulation
Simulation operations
Clinical and academic uses of simulation.