A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Exploring the Body of Knowledge for Building Information Modeling Implementation Using the Delphi Method
Building information modeling (BIM) has become a standard practice in the architecture, engineering, construction, owner and operator (AECOO) industry, and has gained a critical mass of adoption. However, for companies to fully harvest BIM’s potential and sustain its momentum, the key is to cultivate a competent workforce that has the desired BIM knowledge, skills and abilities (KSAs) to perform job tasks in both organizational and project contexts. This paper reports a research undertaken by the academic interoperability coalition (AiC) using a Delphi method to explore the body of knowledge (BOK) of BIM. The BIM BOK is defined as the systematically curated concepts and nomenclature, knowledge, best practices, standards and outcomes pertaining to BIM and its implementation. The Delphi study is built upon a comprehensive and multi-dimensional system architecture to address both macro and micro BIM uses, and to classify and categorize the BIM BOK. This three-round Delphi study produced an inclusive and living inventory of BIM BOK line items, with built consensus on their practicality associated with the various user groups at different competency levels in specific implementation contexts. The BIM BOK makes three major contributions: 1) it establishes the foundational and holistic knowledge representation for BIM competency assessment for workforce across the AECOO industry; 2) it provides a roadmap and common curriculum to bridge the current gap between academic learning outcomes and workplace performance requirements via corporate training and BIM education; and 3) it standardizes the level of expectation and benchmarks job task performance for emerging BIM job titles, which forms baseline performance measurement for BIM education accreditation, and professional credentialing and certification.
Exploring the Body of Knowledge for Building Information Modeling Implementation Using the Delphi Method
Building information modeling (BIM) has become a standard practice in the architecture, engineering, construction, owner and operator (AECOO) industry, and has gained a critical mass of adoption. However, for companies to fully harvest BIM’s potential and sustain its momentum, the key is to cultivate a competent workforce that has the desired BIM knowledge, skills and abilities (KSAs) to perform job tasks in both organizational and project contexts. This paper reports a research undertaken by the academic interoperability coalition (AiC) using a Delphi method to explore the body of knowledge (BOK) of BIM. The BIM BOK is defined as the systematically curated concepts and nomenclature, knowledge, best practices, standards and outcomes pertaining to BIM and its implementation. The Delphi study is built upon a comprehensive and multi-dimensional system architecture to address both macro and micro BIM uses, and to classify and categorize the BIM BOK. This three-round Delphi study produced an inclusive and living inventory of BIM BOK line items, with built consensus on their practicality associated with the various user groups at different competency levels in specific implementation contexts. The BIM BOK makes three major contributions: 1) it establishes the foundational and holistic knowledge representation for BIM competency assessment for workforce across the AECOO industry; 2) it provides a roadmap and common curriculum to bridge the current gap between academic learning outcomes and workplace performance requirements via corporate training and BIM education; and 3) it standardizes the level of expectation and benchmarks job task performance for emerging BIM job titles, which forms baseline performance measurement for BIM education accreditation, and professional credentialing and certification.
Exploring the Body of Knowledge for Building Information Modeling Implementation Using the Delphi Method
Wu, Wei (author) / Mayo, Glenda (author) / Issa, Raja R. (author) / McCuen, Tammy (author) / Smith, Deke (author)
ASCE International Workshop on Computing in Civil Engineering 2017 ; 2017 ; Seattle, Washington
Computing in Civil Engineering 2017 ; 211-219
2017-06-22
Conference paper
Electronic Resource
English
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