Critical Factors for Effective BIM-Enabled Education: An Adaptive Structuration Theory Perspective
Author(s): |
Theophilus Olowa
Emlyn Witt Irene Lill Abdulkadir Rasheed Abdulazeez Abdulmumin Ranti Adebiyi |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 22 November 2023, n. 12, v. 13 |
Page(s): | 3044 |
DOI: | 10.3390/buildings13123044 |
Abstract: |
Educational systems of the 21st century require agility and flexibility for construction graduates to have the skills, knowledge, and abilities required for effective performance in the construction industry, especially with the global digitalization of the industry. With reference to adaptive structuration theory (AST) as a theoretical lens and a survey research design, this research examined the relationship between building information modeling (BIM) as an advanced information technology and educators’ attitudes toward implementing BIM for construction education to prepare local graduates for global relevance and employment. Data collected were analyzed using Statistical Package for the Social Sciences (SPSS Ver 25). The findings of the study showed that group internal system, structure of BIM, and task and organizational environment play important roles in implementing BIM for construction education in the architecture, engineering, construction, and facilities management (AEC/FM) disciplines. It was recommended that policymakers, academics, and curriculum developers pay attention to these factors for rapid development in the realm of BIM education. The development of a robust BIM education framework that considers these factors should also be studied. |
Copyright: | © 2023 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
1.92 MB
- About this
data sheet - Reference-ID
10754163 - Published on:
14/01/2024 - Last updated on:
07/02/2024