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The construction site operates under a hazardous environment that requires a high level of understanding in building systems to minimise accidents. However, the current building education generally adopts paper-based learning approaches that lack hands-on experiences. Furthermore, to achieve Industrial Revolution 4.0 in line with any unforeseen pandemic, the most optimum solution is to transition from physical to technological-based building education. This paper aims to address the problems by proposing a game-based virtual reality (GBVR) for building utility inspection training.

The feasibility of the GBVR for building the utility inspection training approach is validated on a sample of undergraduate engineering students through user experience (survey) and performance-based comparisons against traditional paper-based training method.

The results show that the developed GBVR training has higher system usability in terms of visual output and knowledge retention than paper-based training due to visualisation technologies. The GBVR training method has also higher user-friendliness because of the higher motivational and engagement factors through the adoption of virtual reality and game-based learning.

GBVR training required a longer training duration and achieved a lower performance score (effectiveness) but can be improved by transitioning into hands-on tasks. This study has the potentials to be extended to vocational training platforms for competency development in the construction workforce by using cutting-edge extended reality technologies.

This paper portrays the benefits of integrating virtual reality technology in building education to overcome the low practicality and engagement of paper-based training.

In recent years, deep learning and extended reality (XR) technologies have gained popularity in the built environment, especially in construction engineering and management. A significant amount of research efforts has been thus dedicated to the automation of construction-related activities and visualization of the construction process. The purpose of this study is to investigate potential research opportunities in the integration of deep learning and XR technologies in construction engineering and management.

This study presents a literature review of 164 research articles published in Scopus from 2006 to 2021, based on strict data acquisition criteria. A mixed review method, consisting of a scientometric analysis and systematic review, is conducted in this study to identify research gaps and propose future research directions.

The proposed research directions can be categorized into four areas, including realism of training simulations; integration of visual and audio-based classification; automated hazard detection in head-mounted displays (HMDs); and context awareness in HMDs.

This study contributes to the body of knowledge by identifying the necessity of integrating deep learning and XR technologies in facilitating the construction engineering and management process.