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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.

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Title Factors driving BIM learning performance: research on china’s sixth national BIM graduation design innovation competition of colleges and universities
Author(s) Ao, Y
Liu, Y
Tan, L
Tan, L
Zhang, M
Feng, Q
Zhong, J
Wang, Y
Zhao, L
Martek, IgorORCID iD for Martek, Igor orcid.org/0000-0001-6573-1291
Journal name Buildings
Volume number 11
Issue number 12
Article ID 616
Start page 1
End page 14
Total pages 14
Publisher MDPI
Place of publication Basel, Switzerland
Publication date 2021
ISSN 2075-5309
2075-5309
Keyword(s) Science & Technology
Technology
Construction & Building Technology
Engineering, Civil
Engineering
BIM learning performance
BIM education
BIM competition
undergraduate education
AEC
China
STRATEGIES
ENERGY
Summary 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.
Language eng
DOI 10.3390/buildings11120616
Field of Research 1201 Architecture
1202 Building
1203 Design Practice and Management
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30161272

Document type: Journal Article
Collections: Faculty of Science, Engineering and Built Environment
School of Architecture and Built Environment
Open Access Collection
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Created: Wed, 12 Jan 2022, 13:06:12 EST

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.