Factors driving BIM learning performance: research on china’s sixth national BIM graduation design innovation competition of colleges and universities
Ao, Y, Liu, Y, Tan, L, Tan, L, Zhang, M, Feng, Q, Zhong, J, Wang, Y, Zhao, L and Martek, Igor 2021, Factors driving BIM learning performance: research on china’s sixth national BIM graduation design innovation competition of colleges and universities, Buildings, vol. 11, no. 12, pp. 1-14, doi: 10.3390/buildings11120616.
Attached Files
Name
Description
MIMEType
Size
Downloads
Title
Factors driving BIM learning performance: research on china’s sixth national BIM graduation design innovation competition of colleges and universities
With the popularization and rise in BIM technology usage, BIM education for undergraduate students in architecture, engineering, and construction (AEC) related disciplines has emerged as a priority. This study assesses the BIM learning outcomes of students participating in the National BIM Graduation Design Innovation Competition of Colleges and Universities. In total, 2777 valid questionnaire responses were obtained for this study. The Cronbach’s alpha coefficient method and principal component factor analysis method were used to verify the reliability of the data set (Cronbach’s alpha = 0.962, KMO = 0.965). The t-test (ANOVA) was used to verify that gender, school type, major, grade, study duration and use BIM related software, as well as other demographic attributes, displayed significant inter-group differences. Seven common factors affecting BIM learning performance were obtained by exploratory factor analysis: (1) ability of the instructor, (2) school (college) atmosphere, (3) teamwork, (4) individual ability, (5) understanding of BIM industry applications, (6) social environment incentives, and (7) achievement demand. Finally, the results of an ordered logistic regression revealed that the demographic attributes of participants, the comprehensive ability of the instructor, teamwork, individual ability, and achievement demand significantly affects BIM learning performance. Based on these findings, this paper puts forward suggestions for improving BIM learning performance and provides theoretical support for BIM education and learning in AEC related undergraduate majors.
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.
Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO.
If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.
Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.
orcid.org/0000-0001-6573-1291
Cited 
Cited 