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Building Information Modeling Learning Behavior of AEC Undergraduate Students in China

With the popularization and application of Building Information Modeling (BIM), the demand for BIM technical talents in the construction industry is increasing. Exploring college students’ BIM technical learning behavior is of great practical significance to improve education activities. Based on th...

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Autores principales: Peng, Panyu, Ao, Yibin, Li, Mingyang, Wang, Yan, Wang, Tong, Bahmani, Homa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9405014/
https://www.ncbi.nlm.nih.gov/pubmed/36004840
http://dx.doi.org/10.3390/bs12080269
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author Peng, Panyu
Ao, Yibin
Li, Mingyang
Wang, Yan
Wang, Tong
Bahmani, Homa
author_facet Peng, Panyu
Ao, Yibin
Li, Mingyang
Wang, Yan
Wang, Tong
Bahmani, Homa
author_sort Peng, Panyu
collection PubMed
description With the popularization and application of Building Information Modeling (BIM), the demand for BIM technical talents in the construction industry is increasing. Exploring college students’ BIM technical learning behavior is of great practical significance to improve education activities. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT), this research adds learning attitude variables to construct a theoretical model of influencing factors of college students’ BIM technology learning behavior. Chinese undergraduate students were asked to complete online questionnaires through peer-to-peer contact with sample colleges and universities. Finally, 1090 valid questionnaires were obtained. The students were sampled from research-oriented, applied research-oriented, application-oriented, and private research-oriented universities in seven regions of China: northeast, north, east, south, central, northwest, and southwest. The structural equation model was used to analyze the sampling data. The results indicate that college students’ BIM learning attitude, performance expectations, and social influence positively and directly impact their learning intention, which indirectly impacts their learning behavior. At the same time, promoting factors and learning intention demonstrate a significant positive and direct impact on learning behavior. Therefore, the following suggestions have been put forward to enhance college students’ learning motivation for BIM technology: increase the popularization of BIM technology in colleges and universities and improve the operation level of full-time BIM teachers. The latter enables colleges and universities to continuously and stably export qualified BIM technical talents to society and the market, resulting in a continuous industry development cycle.
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spelling pubmed-94050142022-08-26 Building Information Modeling Learning Behavior of AEC Undergraduate Students in China Peng, Panyu Ao, Yibin Li, Mingyang Wang, Yan Wang, Tong Bahmani, Homa Behav Sci (Basel) Article With the popularization and application of Building Information Modeling (BIM), the demand for BIM technical talents in the construction industry is increasing. Exploring college students’ BIM technical learning behavior is of great practical significance to improve education activities. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT), this research adds learning attitude variables to construct a theoretical model of influencing factors of college students’ BIM technology learning behavior. Chinese undergraduate students were asked to complete online questionnaires through peer-to-peer contact with sample colleges and universities. Finally, 1090 valid questionnaires were obtained. The students were sampled from research-oriented, applied research-oriented, application-oriented, and private research-oriented universities in seven regions of China: northeast, north, east, south, central, northwest, and southwest. The structural equation model was used to analyze the sampling data. The results indicate that college students’ BIM learning attitude, performance expectations, and social influence positively and directly impact their learning intention, which indirectly impacts their learning behavior. At the same time, promoting factors and learning intention demonstrate a significant positive and direct impact on learning behavior. Therefore, the following suggestions have been put forward to enhance college students’ learning motivation for BIM technology: increase the popularization of BIM technology in colleges and universities and improve the operation level of full-time BIM teachers. The latter enables colleges and universities to continuously and stably export qualified BIM technical talents to society and the market, resulting in a continuous industry development cycle. MDPI 2022-08-05 /pmc/articles/PMC9405014/ /pubmed/36004840 http://dx.doi.org/10.3390/bs12080269 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Peng, Panyu
Ao, Yibin
Li, Mingyang
Wang, Yan
Wang, Tong
Bahmani, Homa
Building Information Modeling Learning Behavior of AEC Undergraduate Students in China
title Building Information Modeling Learning Behavior of AEC Undergraduate Students in China
title_full Building Information Modeling Learning Behavior of AEC Undergraduate Students in China
title_fullStr Building Information Modeling Learning Behavior of AEC Undergraduate Students in China
title_full_unstemmed Building Information Modeling Learning Behavior of AEC Undergraduate Students in China
title_short Building Information Modeling Learning Behavior of AEC Undergraduate Students in China
title_sort building information modeling learning behavior of aec undergraduate students in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9405014/
https://www.ncbi.nlm.nih.gov/pubmed/36004840
http://dx.doi.org/10.3390/bs12080269
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