BIM-VR framework for building information modelling in engineering education.

Wong, Jing-Ying; Yip, Chun-Chieh; Yong, Su-Ting; Chan, Andy; Kok, Sien-Ti; Lau, Teck-Leong; Ali, Mohammed T.; Gouda, Essameldin

Abstract

With the advancement of information technology, Building Information Modeling (BIM) is evolving fast and play an essential role in Architecture, Engineering, Construction, Owner and Operators (AECOO) industry. Universities play an important role in the current BIM transition in construction projects as well as to embrace Industry 4.0. In this research, immersive Virtual Reality (VR) in BIM offer a unique, supportive environment for the user experience in visualizing and collecting data from the model. With Virtual Reality (VR), engineering education has a major breakthrough. Immersive interactions, stereoscopic 3D, real time multisensory simulations, virtual explorations, synchronous communications, data analytics and visual analysis-all these are impossible without VR. VR offers a student-centred learning environment that promotes active and collaborative learning, situated within simulated real-world contexts.

Citation

WONG, J.-Y., YIP, C.-C., YONG, S.-T., CHAN, A., KOK, S.-T., ALI, M.T. and GOUDA, E. 2020. BIM-VR framework for building information modelling in engineering education. International journal of interactive mobile technologies [online], 14(6), pages 15-39. Available from: https://doi.org/10.3991/ijim.v14i06.13397

• Journal Article Type: Article
• Acceptance Date: Feb 21, 2020
• Online Publication Date: Apr 17, 2020
• Publication Date: Mar 31, 2020
• Deposit Date: Jun 30, 2023
• Publicly Available Date: Jul 6, 2023
• Journal: International journal of interactive mobile technologies
• Electronic ISSN: 1865-7923
• Publisher: International Association of Online Engineering (IAOE)
• Peer Reviewed: Peer Reviewed
• Volume: 14
• Issue: 6
• Pages: 15-39
• DOI: https://doi.org/10.3991/ijim.v14i06.13397
• Keywords: BIM-VR framework; Virtual reality; Engineering education
• Public URL: https://rgu-repository.worktribe.com/output/1998355