Virtual reality in undergraduate and postgraduate nursing education : a scoping review protocol integrating data mining for topic discovery

Ronchi, Silvia; Caruso, Rosario; Fabrizi, Diletta et al.

MethodsX, 2025, 14, 103391

Permalink : https://hdl.handle.net/2115/95298

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論文情報

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アクセス権
open access
URI
https://hdl.handle.net/2115/95298
タイトル
Virtual reality in undergraduate and postgraduate nursing education : a scoping review protocol integrating data mining for topic discovery
著者
Ronchi, Silvia ; Caruso, Rosario ; Fabrizi, Diletta ; Luciani, Michela ; Alfes, Celeste M. ; Colley, Noriyo ; Magon, Arianna ; Conte, Gianluca ; Valli, Anna ; Terzoni, Stefano ; Cilluffo, Silvia ; Lusignani, Maura ; Ausili, Davide
著者名
Ronchi, Silvia
著者名
Caruso, Rosario
著者名
Fabrizi, Diletta
著者名
Luciani, Michela
著者名
Alfes, Celeste M.
e-Rad_Researcher
80431310
著者名
Colley, Noriyo
著者名
Magon, Arianna
著者名
Conte, Gianluca
著者名
Valli, Anna
著者名
Terzoni, Stefano
著者名
Cilluffo, Silvia
著者名
Lusignani, Maura
著者名
Ausili, Davide
言語
英語
キーワード
Virtual reality
Nursing education
Nursing
Learning
発行日
2025-06
出版者
Elsevier
収録物名
MethodsX
巻(号)
14
ページ
103391
抄録
Virtual Reality (VR) encompasses a range of computer-based technologies that simulate complex scenarios, offering immersive, experiential learning in a controlled virtual environment. In nursing education, VR has the potential to enhance both technical and non-technical competencies. However, the existing literature on VR in nursing education is fragmented, making it challenging to fully grasp its scope, applications, and emerging trends. This scoping review protocol outlines a systematic approach to mapping the existing literature on the use of VR in undergraduate and postgraduate nursing education. Following Joanna Briggs Institute guidelines and the PRISMA-ScR 2020 framework, the review will include studies published in English, Spanish, or Italian, as well as those with an accessible HTML version to enable accurate automated translation and eligibility assessment. A comprehensive search will be conducted across PubMed, Scopus, CINAHL, and EMBASE, with no time restrictions. Two independent reviewers will assess study eligibility and extract data using a standardized form. Additionally, data mining techniques, including Latent Dirichlet Allocation enhanced by Bayesian optimization, will be employed to identify trends and emerging topics in the field, providing valuable insights for educators, researchers, and policymakers. •This scoping review protocol outlines the methodology for systematically mapping the existing literature on VR in nursing education, providing a comprehensive overview of its applications at undergraduate and postgraduate levels. •Advanced data mining techniques will be applied to uncover emerging trends and key topics, enhancing the understanding of VR’s evolving role in nursing education. •Findings will offer methodological and practical insights, supporting educators, researchers, and policymakers in optimizing and expanding VR-based learning strategies in nursing.
資源タイプ
学術雑誌論文
出版タイプ
Version of Record
権利情報
Creative Commons Attribution 4.0 International
権利情報
©2025 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
PISSN
2215-0161
関連情報 (isIdenticalTo)
出版社版DOI
https://doi.org/10.1016/j.mex.2025.103391