The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Full immersive virtual environment CAVETM in chemistry education
Open accessAbstract
By comparing two-dimensional (2D) chemical animations designed for computer's desktop with three-dimensional (3D) chemical animations designed for the full immersive virtual reality environment CAVE^T^M we studied how virtual reality environments could raise student's interest and motivation for learning. By using the 3ds max^T^M, we can visualize the chemical phenomena easily and quickly without knowing any special computer language and export the application to files which are compatible with the CAVE^T^M (Object or OpenGL files). After the participation in 3D animations at the CAVE^T^M students comprehended the molecules' structure and their changes during a chemical reaction better than during the 2D animations on the computer's desktop, as the limitations of human vision had been overcome. Furthermore, the students were enthusiastic, as they had the feeling that they were inside the chemical reactions and they were facing the 3D molecules as if they were real objects front of them.
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Cites
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Cited by
Educational virtual environments: A ten-year review of empirical research (1999–2009)
Mikropoulos, T. A., & Natsis, A. (2011) · Computers & Education · doi:10.1016/j.compedu.2010.10.020 · Cited by 1,122
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Huang, H.-M., Liaw, S.-S., & Lai, C.-M. (2016) · Interactive Learning Environments · doi:10.1080/10494820.2013.817436 · Cited by 260
The Role of AR and VR Technologies in Education Developments: Opportunities and Challenges
Ardiny, H., & Khanmirza, E. (2018) · 2018 6th RSI International Conference on Robotics and Mechatronics (IcRoM) · doi:10.1109/icrom.2018.8657615 · Cited by 150
Metadata
- Authors
- Limniou, M., Roberts, D., & Papadopoulos, N.
- Venue
- Computers & Education
- Publisher
- Elsevier BV
- Published
- 2008-09
- Volume
- 51
- Issue
- 2
- Pages
- 584-593
- ISSN
- 0360-1315 (ISSN-L)
- OpenAlex
- W2009880835
- Cited by
- 276
- References
- 17
- FWCI
- 10.75
- Type
- journal article
- Language
- en
- Open access
- green
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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.
