Article 2026

Learn manufacturing together: research on mixed reality group teaching of CNC machine tools

International Journal of Advanced Manufacturing Technology
Journal
Abstract

Computer numerical control machine tools (CNC) play a crucial role in modern manufacturing and education. However, traditional industrial virtual training is typically a solitary experience, lacking social interaction. While virtual reality (VR) education offers immersive learning, it often limits opportunities for real-world collaboration, potentially diminishing social and cooperative skills. Additionally, group-based training requires numerous devices, resulting in high costs and low efficiency. To address these challenges, we propose a new educational framework: Cognition-Operation-Assessment. This framework introduces a group-oriented, highly interactive, and evaluable mixed reality (MR) system for CNC machine tool education. By integrating collaborative and interactive functionalities, the system enhances the teaching effectiveness of virtual classrooms, surpassing traditional paper-based and single-player MR learning. Its effectiveness has been validated through comprehensive courses and user experiments. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2026.

Keywords

Author Keywords

Manufacturing education Metaverse Mixed reality

Index Keywords

E-learning Teaching Curricula Engineering education Personnel training Industrial research Collaborative learning Computer aided instruction Computer control systems Distributed computer systems Machine tools CNC machine tools Computer numerical control machines Group teachings Learn+ Manufacturing education Metaverses Mixed reality Numerical control machine tool Social interactions Virtual training
Author Affiliations
Smart Manufacturing Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China
Computational Media and Arts Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China
Funding & Acknowledgements
No funding information
References 10 References
1 Lasi, Heiner, Industry 4.0, Business and Information Systems Engineering, 6, 4, pp. 239-242, (2014)
2 A Comparison of Virtual and Physical Training Transfer of Bimanual Assembly Tasks, (2018)
3 Benefits of Taking A Virtual Field Trip in Immersive Virtual Reality Evidence for the Immersion Principle in Multimedia Learning, (2022)
4 International Conference on E Portfolio Process in Vocational Education Epvet, (2007)
5 Lin, Kuen–Song, Synthesis and characterization of porous HKUST-1 metal organic frameworks for hydrogen storage, International Journal of Hydrogen Energy, 37, 18, pp. 13865-13871, (2012)
6 A Virtual Reality Based Training System for Cnc Milling Machine Operations, (1996)
7 Procedia Technol, (2015)
8 Proceedings of the 2007 International Conference on Frontiers in Education Computer Science Computer Engineering, (2007)
9 Innov Educ Teach Int, (2024)
10 Wimo, Anders A., Application of resource utilization in dementia (RUD) instrument in a global setting, Alzheimer's and Dementia, 9, 4, pp. 429-e17, (2013)
Quick Actions
Full Text via DOI
Citation Metrics
0
Times Cited (Scopus)

References 10
Document Identifiers