Article 2025

Bibliometric analysis of trends and applications of augmented reality and virtual reality in vocational education

Journal of Computational Methods in Sciences and Engineering
Journal · Vol. 25 · Issue 5 · pp. 4100-4115
Abstract

The Fourth Industrial Revolution has introduced intelligent digital technologies, such as virtual reality (VR) and augmented reality (AR), across various sectors, including education. The research aims to provide a comprehensive overview of the current research landscape and offer insights to guide future studies on AR and VR in vocational education. Bibliometric analysis is used to explore the performance analysis, science mapping, trend analysis, and application analysis of these technologies in vocational education. There are four key findings: First, VR research in vocational education has higher publication and citation rates than AR, with China, Spain, and the United States as leading contributors. Second, AR focuses on enhancing traditional education through “students” and “education,” while VR emphasizes immersive “learning en- vironments” and “outcomes.” Third, the growing trend centers on “education” and “students,” reflecting increased interest in online learning. Fourth, AR and VR applications in vocational education show that AR enhances student skills, learning performance, and motivation, while VR advances practical training, learning outcomes and technological and practical aspects. These findings provide valuable insights that can inform future research directions in vocational education, particularly in exploring how AR and VR technologies can be more effectively integrated into educational practices. © The Author(s) 2025.

Keywords

Author Keywords

Augmented reality Vocational education Virtual reality trend analysis

Index Keywords

Teaching Personnel training Apprentices Students Vocational education 'current Bibliometrics analysis Virtual reality Immersive learning Digital technologies Educational robots Application analysis Industrial revolutions Performances analysis Traditional educations Trend analysis
Author Affiliations
Faculty of Education, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
Department of Admissions, Jiangsu Open University, Nanjing, Jiangsu, China, Faculty of Education, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
Faculty of Education, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia, School of Foreign Languages, Shanxi Vocational University of Engineering Science and Technology, Jinzhong, Shanxi, China
Funding & Acknowledgements
No funding information
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