Issue |
MATEC Web Conf.
Volume 266, 2019
International Conference on Built Environment and Engineering 2018 - “Enhancing Construction Industry Through IR4.0” (IConBEE2018)
|
|
---|---|---|
Article Number | 05006 | |
Number of page(s) | 5 | |
Section | Construction Technology (CT) | |
DOI | https://doi.org/10.1051/matecconf/201926605006 | |
Published online | 20 February 2019 |
A Bibliometric Analysis of Industrial Revolution (IR) 4.0 in Construction Engineering Education
Faculty of Civil Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, 40450, Selangor, Malaysia
* Corresponding author: nadiasafura@gmail.com
Industrial Revolution 4.0 (IR 4.0) is a further development stage of high-tech digitization to enhance communication networks, organization and management as well as production and processes across industries. The rate of changes and its convergence towards IR 4.0 would require new talent, knowledge and skills for current and future generation to retain and generate workforce. As technology in the construction industry is evolving at a fast pace, the current teaching-learning syllabus and pedagogy should change accordingly to accommodate future job requirements. Due to the rawness of this concept in the construction industry, particularly in relation to its education, this study aims to explore the state of the art as well as the state of practice of IR 4.0 and Education 4.0 from the perspectives of construction engineering. Therefore, a systematic review was conducted to analyze the relevant research papers related to IR 4.0 and Education 4.0 within the Scopus database ranging from year 2011 until present. A bibliometric analysis has been outlined following the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) statement. Findings of this study would provide a thorough understanding on past efforts in advancing the construction engineering education aspect, subsequently highlighting gaps to be filled for future endeavors, particularly in equipping the construction engineering education for IR 4.0.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.