Evolving Expectations: A Five-Year Study on Bridging Academia and Industry in Virtual Design and Construction Education

The construction industry is rapidly evolving, driven by technological advancements and increasing project complexities, highlighting the need to bridge the gap between academic curricula and industry expectations, particularly in Virtual Design and Construction (VDC). This study employs a five-year Delphi method to evaluate the skills and knowledge required of fresh graduates, focusing on competencies in Building Information Modeling (BIM), Geographic Information Systems (GIS), model management, VDC skills, and collaboration. A panel of 24 experts, evenly split between academia and industry, assessed these competencies, revealing disparities in priorities: academia emphasizes foundational knowledge, while industry demands advanced technical proficiency and practical applications. Over time, industry expectations for emerging technologies, such as generative design and AI-driven tools, have increased, exposing gaps in academic preparation for these evolving skills. The findings highlight the critical need for construction education to align with technological trends and workforce demands by integrating advanced modeling techniques, simulation tools, and collaborative platforms into curricula. By offering actionable insights into curriculum enhancement, this research aims to foster a more adaptable and future-ready workforce, guiding educators and industry stakeholders in equipping graduates with the skills necessary to thrive in the rapidly changing construction landscape.

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Publication Details

Journal
CIB Conferences
Published
2025-06-19
DOI
https://doi.org/10.7771/3067-4883.1937
Primary Topic
Engineering Education and Curriculum Development
Type
article
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article

Evolving Expectations: A Five-Year Study on Bridging Academia and Industry in Virtual Design and Construction Education

Fopefoluwa Bademosi, Ralph Tayeh
CIB Conferences
Engineering Education and Curriculum Development
article

Evolving Expectations: A Five-Year Study on Bridging Academia and Industry in Virtual Design and Construction Education

Fopefoluwa Bademosi, Ralph Tayeh
article en

Abstract

The construction industry is rapidly evolving, driven by technological advancements and increasing project complexities, highlighting the need to bridge the gap between academic curricula and industry expectations, particularly in Virtual Design and Construction (VDC). This study employs a five-year Delphi method to evaluate the skills and knowledge required of fresh graduates, focusing on competencies in Building Information Modeling (BIM), Geographic Information Systems (GIS), model management, VDC skills, and collaboration. A panel of 24 experts, evenly split between academia and industry, assessed these competencies, revealing disparities in priorities: academia emphasizes foundational knowledge, while industry demands advanced technical proficiency and practical applications. Over time, industry expectations for emerging technologies, such as generative design and AI-driven tools, have increased, exposing gaps in academic preparation for these evolving skills. The findings highlight the critical need for construction education to align with technological trends and workforce demands by integrating advanced modeling techniques, simulation tools, and collaborative platforms into curricula. By offering actionable insights into curriculum enhancement, this research aims to foster a more adaptable and future-ready workforce, guiding educators and industry stakeholders in equipping graduates with the skills necessary to thrive in the rapidly changing construction landscape.

CIB ConferencesVol. 1(1)
Southern Illinois University Edwardsville (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 80%
Engineering Education and Curriculum Development
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Evolving Expectations: A Five-Year Study on Bridging Academia and Industry in Virtual Design and Construction Education — Fopefoluwa Bademosi, Ralph Tayeh · CIB Conferences (2025) | TGRS Research Map | TGRS