Abstract

Applying building information modeling (BIM) and virtual reality (VR) in construction education is an effective way to achieve better study motivation, learnability, creativity, and observation of the real world. However, whether different levels of BIM prior knowledge affect students’ VR experimental learning, if at all, has not been examined. Therefore, this study employs a teaching intervention experiment to access the VR learning process based on the BIM prior knowledge. A total of 47 students, from the Department of Architecture and Civil Engineering, City University of Hong Kong, participated in the experiment. They were grouped according to whether they had taken the prior BIM tutorial section, with 23 participants in the group having completed the tutorial and 24 participants in the group that had not. Experiment materials were created and rendered via Autodesk Revit and Iris VR; the materials supported three tasks related to the underground design review scenarios and three other tasks about site planning review scenarios. After the experiment, a comparison study was done to discuss their differences based on VR task performances and satisfaction. The results revealed that the BIM prior knowledge mediated both the two-dimensional and three-dimensional navigations when students performed the tasks. Moreover, the relationship differences within the satisfactions showed that BIM prior knowledge effectively affected the learning outcomes. In conclusion, the comparison study implies that students’ BIM prior knowledge is efficacious in the students’ VR task performance and their VR satisfaction from cognitive and memory perspectives.

Details

Title
Effects of building information modeling prior knowledge on applying virtual reality in construction education: lessons from a comparison study
Author
Chen, Xingbin 1 ; Li, Sining 2 ; Li, Gengying 1 ; Xue, Bin 3 ; Liu, Bingsheng 3 ; Yuan, Fang 4 ; Seo, JoonOh 5 ; Kim, Inhan 6 ; Jung In Kim 2   VIAFID ORCID Logo 

 College of Water Conservancy and Civil Engineering, South China Agricultural University , Tianhe District, Guangzhou, Guangdong 510642 , China 
 Department of Architecture and Civil Engineering, City University of Hong Kong , Tat Chee Avenue, Kowloon 999077, Hong Kong SAR , China 
 School of Public Policy and Administration, Chongqing University , No. 174, Shazheng Street, Shapingba District, Chongqing 400044 , China 
 School of Civil and Transportation Engineering, Guang Dong University of Technology , Guangzhou, Guangdong 510006 , China 
 Department of Building and Real Estate, The Hong Kong Polytechnic University , 11 Yuk Choi Rd, Kowloon 999077, Hong Kong SAR , China 
 Department of Architecture, Kyung Hee University , Gyeonggi-do 17104 , South Korea 
Pages
2036-2048
Publication year
2023
Publication date
Oct 2023
Publisher
Oxford University Press
ISSN
22885048
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3189769128
Copyright
© The Author(s) 2023. Published by Oxford University Press on behalf of the Society for Computational Design and Engineering. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.