Embedding Building Information Modeling (Bim) Competencies in Quantity Surveying Education

BIM is now trending in the construction industry. BIM tools is known to be able to assist throughout a project lifecycle from conception to commission and operation. Hence, the supply and demand of the BIM skilled workforce will be an issue in the near future. Higher Education Institutions (HEI) has...

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Main Author: Kwong, Chin Wei
Format: Final Year Project / Dissertation / Thesis
Published: 2019
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Online Access:http://eprints.utar.edu.my/3611/1/SCA%2D2019%2D1302787%2D1.pdf
http://eprints.utar.edu.my/3611/
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spelling my-utar-eprints.36112019-12-05T05:30:25Z Embedding Building Information Modeling (Bim) Competencies in Quantity Surveying Education Kwong, Chin Wei TA Engineering (General). Civil engineering (General) BIM is now trending in the construction industry. BIM tools is known to be able to assist throughout a project lifecycle from conception to commission and operation. Hence, the supply and demand of the BIM skilled workforce will be an issue in the near future. Higher Education Institutions (HEI) has to act as a vehicle to produce BIM-ready graduates with an attempt to close the gap of demand for graduates with BIM competencies. This study aims to identify the competencies required to embed BIM into the Quantity Surveying education by exploring the knowledge and skills required and recommend BIM competencies to be embedded in the Curriculum Learning Framework of QS undergraduate programme. The scope of this study only focuses on individual competences. From the literature review, three (3) major group of competences are identified: Contextual, Behavioural and Technical competence. 45 BIM competencies obtained from the Initial BIM Learning Outcomes Framework by the Building Academy Forum can be categorised into the three (3) major group of competence, and into 14 groups of BIM Capabilities. Survey questionnaires are distributed to local Quantity Surveyors of various business nature. Factor analysis results indicate that BIM education has to be taught in three (3) stages, namely: Conception Stage, Implementation Stage and Optimisation Stage. BIM competencies that are lack of, also known as the knowledge gap, is identified and sorted into type of competences and stages of education matrix. Further analysis is carried out to pair the competencies found in RICS Assessment of Professional Competence’s (APC) and Rules and Syllabuses of the Professional Examinations for Quantity Surveying by Institute of Surveyors Malaysia in view of embedding the BIM competencies into the QS undergraduate programme’s Curriculum Learning Framework. 2019 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/3611/1/SCA%2D2019%2D1302787%2D1.pdf Kwong, Chin Wei (2019) Embedding Building Information Modeling (Bim) Competencies in Quantity Surveying Education. Master dissertation/thesis, UTAR. http://eprints.utar.edu.my/3611/
institution Universiti Tunku Abdul Rahman
building UTAR Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tunku Abdul Rahman
content_source UTAR Institutional Repository
url_provider http://eprints.utar.edu.my
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Kwong, Chin Wei
Embedding Building Information Modeling (Bim) Competencies in Quantity Surveying Education
description BIM is now trending in the construction industry. BIM tools is known to be able to assist throughout a project lifecycle from conception to commission and operation. Hence, the supply and demand of the BIM skilled workforce will be an issue in the near future. Higher Education Institutions (HEI) has to act as a vehicle to produce BIM-ready graduates with an attempt to close the gap of demand for graduates with BIM competencies. This study aims to identify the competencies required to embed BIM into the Quantity Surveying education by exploring the knowledge and skills required and recommend BIM competencies to be embedded in the Curriculum Learning Framework of QS undergraduate programme. The scope of this study only focuses on individual competences. From the literature review, three (3) major group of competences are identified: Contextual, Behavioural and Technical competence. 45 BIM competencies obtained from the Initial BIM Learning Outcomes Framework by the Building Academy Forum can be categorised into the three (3) major group of competence, and into 14 groups of BIM Capabilities. Survey questionnaires are distributed to local Quantity Surveyors of various business nature. Factor analysis results indicate that BIM education has to be taught in three (3) stages, namely: Conception Stage, Implementation Stage and Optimisation Stage. BIM competencies that are lack of, also known as the knowledge gap, is identified and sorted into type of competences and stages of education matrix. Further analysis is carried out to pair the competencies found in RICS Assessment of Professional Competence’s (APC) and Rules and Syllabuses of the Professional Examinations for Quantity Surveying by Institute of Surveyors Malaysia in view of embedding the BIM competencies into the QS undergraduate programme’s Curriculum Learning Framework.
format Final Year Project / Dissertation / Thesis
author Kwong, Chin Wei
author_facet Kwong, Chin Wei
author_sort Kwong, Chin Wei
title Embedding Building Information Modeling (Bim) Competencies in Quantity Surveying Education
title_short Embedding Building Information Modeling (Bim) Competencies in Quantity Surveying Education
title_full Embedding Building Information Modeling (Bim) Competencies in Quantity Surveying Education
title_fullStr Embedding Building Information Modeling (Bim) Competencies in Quantity Surveying Education
title_full_unstemmed Embedding Building Information Modeling (Bim) Competencies in Quantity Surveying Education
title_sort embedding building information modeling (bim) competencies in quantity surveying education
publishDate 2019
url http://eprints.utar.edu.my/3611/1/SCA%2D2019%2D1302787%2D1.pdf
http://eprints.utar.edu.my/3611/
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score 13.159267