Abstract

The construction industry is facing a severe shortage of skilled workforce. Higher education is challenged to develop innovative strategies to help college students develop career-specific competency and accelerate the transition from novice to expert. Technology innovations such as virtual reality (VR) and mixed reality (MR) have been successfully integrated into learning and training programs to create authentic learning experiences within simulated virtual learning environments to facilitate tacit knowledge acquisition and workplace expertise development, which traditionally takes years of empirical experience and apprenticeship training. This study aims to explore potential VR and MR interventions in construction education and workforce development. It is directed at enhancing understanding of key differences between novices and experts and how VR and MR may facilitate tacit knowledge acquisition and expertise development to address the current skills gap in the construction industry. A simulation of accessibility design review and assessment for a tiny house was conducted via VR and MR mock-ups with the participation of both student novices and professional experts to collect behavioral and perceptual data using instruments that included a think-aloud protocol, a pair of pre- and postsurvey questionnaires, and audio/video recordings. Comparative analyses were conducted, and the results indicated that student novices, despite their lack of expertise, demonstrated comparable patterns of behaviors and achieved design review outcomes similar to those of professional experts with the VR and MR mock-ups. The findings of this study contribute to the body of knowledge by providing preliminary evidence of learning affordances of VR and MR in bridging experience-related gaps and suggesting opportunities for accelerating workplace expertise development among college students via technology intervention. These findings also have the potential to inform instructional design and pedagogical approaches that integrate VR and MR technology in undergraduate construction and engineering curricula.

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Data Availability Statement

Date generated or analyzed during the study are available from the corresponding author by request. Information about the Journal’s data-sharing policy can be found here: http://ascelibrary.org/doi/10.1061/(ASCE)CO.1943-7862.0001263.

Acknowledgments

This material is based on work supported by the National Science Foundation under Awards IIS 1735804 and 1735878.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 145Issue 9September 2019

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Received: Oct 16, 2018
Accepted: Jan 22, 2019
Published online: Jun 28, 2019
Published in print: Sep 1, 2019
Discussion open until: Nov 28, 2019

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Associate Professor, Dept. of Construction Management, California State Univ., Fresno, 2320 E. San Ramon Ave., MS/EE 94, Fresno, CA 93740-8030 (corresponding author). ORCID: https://orcid.org/0000-0002-7024-3812. Email: [email protected]
Justin Hartless [email protected]
Graduate Research Assistant, Del. E. Webb School of Construction, Arizona State Univ., College Ave. Commons, 660 S. College Ave., Tempe, AZ 85281. Email: [email protected]
Aaron Tesei [email protected]
Undergraduate Research Assistant, Dept. of Construction Management, California State Univ., Fresno, 2320 E. San Ramon Ave., MS/EE 94, Fresno, CA 93740-8030. Email: [email protected]
Venkata Gunji [email protected]
Graduate Research Assistant, Dept. of Computer Science, California State Univ., Fresno, 2576 E. San Ramon Ave., MS/ST 109, Fresno, CA 93740-8039. Email: [email protected]
Assistant Professor, Del. E. Webb School of Construction, Arizona State Univ., 660 S College Ave., CAVC Room 507, Tempe, AZ 85281. ORCID: https://orcid.org/0000-0002-2975-6501. Email: [email protected]
Jeremi London [email protected]
Assistant Professor, Dept. of Engineering Education, Virginia Tech, 345 Goodwin Hall, 635 Prices Fork Rd., Blacksburg, VA 24061. Email: [email protected]

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