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Virtual reality systems enhance students’ achievements in engineering education
Abstract
Virtual reality (VR) is being used for many applications, ranging from medicine to space and from entertainment to training. In this research paper, VR is applied in engineering education, the scope being to compare three major VR systems with the traditional education approach when we do not use any VR system (No-VR). The Corner Cave System (CCS) is compared with the Head Mounted Display (HMD) system. Both of these systems are using a tracking system to reflect the user movements in the virtual environment. The CCS uses only three coordinates: x-, y- and z-axis. The HMD system has six degrees of freedom, the x-, y- and z-axis, as well as the roll, pitch and yaw. Those two systems are also compared with HMD, as a standalone device (HMD-SA) without the tracking system where it has only roll, pitch and yaw. The objective of the study was to evaluate the impact of VR systems on the students’ achievements in engineering colleges. The research examined the effect of the four different methods and compared the scores of the students after each test. The experiments were ran over 48 students. Those systems show incredible results.
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Cited by
A review of the use of virtual reality head-mounted displays in education and training
Jensen, L., & Konradsen, F. (2018) · Education and Information Technologies · doi:10.1007/s10639-017-9676-0 · Cited by 1,638
Makransky, G., & Lilleholt, L. (2018) · Educational Technology Research and Development · doi:10.1007/s11423-018-9581-2 · Cited by 796
The potential of immersive virtual reality to enhance learning: A meta-analysis
Coban, M., Bolat, Y. I., & Goksu, I. (2022) · Educational Research Review · doi:10.1016/j.edurev.2022.100452 · Cited by 354
Yu, S.-J., Hsueh, Y.-L., Sun, J. C.-Y., & Liu, H.-Z. (2021) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2021.100030 · Cited by 91
Digital transformations of classrooms in virtual reality
Gao, H., Bozkir, E., Hasenbein, L., Hahn, J.-U., Göllner, R., & Kasneci, E. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445596 · Cited by 77
Metadata
- Authors
- Alhalabi, W.
- Venue
- Behaviour & Information Technology
- Publisher
- Informa UK Limited
- Published
- 2016-07-26
- Volume
- 35
- Issue
- 11
- Pages
- 919-925
- ISSN
- 0144-929X (ISSN-L)
- 1362-3001
- OpenAlex
- W2488224585
- Cited by
- 370
- References
- 0
- FWCI
- 22.97
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.