Exploring Healthcare Students' Intention to Use Virtual Reality Simulations in China: A Cross-sectional Study Applying the Technology Acceptance Model.
Quan Yuan, Fenghua Yang, Maoling Fu, Xueru Liu, Kaiqi Chen, Qianwen Zeng, Mengwan Liu, Cuihuan Hu
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引用次数: 0
Abstract
This study aims to investigate healthcare students' intention to use virtual reality simulations. By using the Technology Acceptance Model, the research delves into the factors influencing students' acceptance and adoption of virtual reality simulations. Following a cross-sectional design, this article adheres to the STROBE Statement guidelines. The study included 632 undergraduate healthcare students from three universities in China. Data were collected through online questionnaires administered at three comprehensive universities in China between June 19, 2023, and January 15, 2024. Self-reported measurements were used, and hypotheses were analyzed using Amos software to construct a structural equation model. The study reveals positive correlations, indicating that habits are positively associated with perceived ease of use and perceived usefulness. Furthermore, system quality is positively correlated with perceived ease of use and perceived usefulness. Notably, perceived ease of use positively influences perceived usefulness, and both perceived ease of use and perceived usefulness are positively linked to intention to use. The findings suggest that educational institutions and educators should prioritize students' habits, platform system quality, perceived usefulness, and perceived ease of use to enhance healthcare students' intention to engage with virtual reality simulations.
期刊介绍:
For over 30 years, CIN: Computers, Informatics, Nursing has been at the interface of the science of information and the art of nursing, publishing articles on the latest developments in nursing informatics, research, education and administrative of health information technology. CIN connects you with colleagues as they share knowledge on implementation of electronic health records systems, design decision-support systems, incorporate evidence-based healthcare in practice, explore point-of-care computing in practice and education, and conceptually integrate nursing languages and standard data sets. Continuing education contact hours are available in every issue.