The Experts below are selected from a list of 185055 Experts worldwide ranked by ideXlab platform
Xiangyu Wang - One of the best experts on this subject based on the ideXlab platform.
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a critical review of the use of virtual reality in Construction Engineering education and training
International Journal of Environmental Research and Public Health, 2018Co-Authors: Peng Wang, Jun Wang, Hunglin Chi, Xiangyu WangAbstract:Virtual Reality (VR) has been rapidly recognized and implemented in Construction Engineering education and training (CEET) in recent years due to its benefits of providing an engaging and immersive environment. The objective of this review is to critically collect and analyze the VR applications in CEET, aiming at all VR-related journal papers published from 1997 to 2017. The review follows a three-stage analysis on VR technologies, applications and future directions through a systematic analysis. It is found that the VR technologies adopted for CEET evolve over time, from desktop-based VR, immersive VR, 3D game-based VR, to Building Information Modelling (BIM)-enabled VR. A sibling technology, Augmented Reality (AR), for CEET adoptions has also emerged in recent years. These technologies have been applied in architecture and design visualization, Construction health and safety training, equipment and operational task training, as well as structural analysis. Future research directions, including the integration of VR with emerging education paradigms and visualization technologies, have also been provided. The findings are useful for both researchers and educators to usefully integrate VR in their education and training programs to improve the training performance.
Juisheng Chou - One of the best experts on this subject based on the ideXlab platform.
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evolutionary optimization of model specification searches between project management knowledge and Construction Engineering performance
Expert Systems With Applications, 2013Co-Authors: Juisheng Chou, Jungghun YangAbstract:Many studies have attempted to specify alternative model configurations as fitting empirical data with the aid of structural equation modeling (SEM) method. However, significant path searching between constructs has increased in difficulty and complexity. One way to enhance modeling efficiency is evolutionary optimization by genetic algorithm (GA). This study applies the project management (PM) knowledge possessed by Construction personnel and uses techniques, tools, and skills (TTS) to explore the causal relationship between TTS usage and Construction Engineering project performance (PP). A questionnaire survey is used to empirically measure the effectiveness of PM TTS on PP. The research framework is first defined by hypotheses supported by the literature. The GA is then applied to the model fitting process to optimize the structural paths. Analytical results show that evolutionary optimization for singular and multiple goodness of fit effectively searches the SEM specifications. By using GA in SEM procedure, researchers can perform automated specification searches to find the best empirical model fit to the data.
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cost simulation in an item based project involving Construction Engineering and management
International Journal of Project Management, 2011Co-Authors: Juisheng ChouAbstract:Abstract Despite the extensive use of simulation in management, the continuous simulation model for cost estimation remains unexploited, especially for Construction Engineering and management. This study introduces streamlining Monte Carlo simulation procedures with evaluation of stochastic processes and input probability distribution selection via hypothesis testing, and specification of correlations between simulated variates. By using self-developed algorithms and a spreadsheet-add-on program, this investigation uses historical Construction projects as case study data to create an early-stage cost distribution for budget allocation. While establishing the applicability of the proposed simulation procedures, this study demonstrates that the simulated cost results present superior simulation accuracy in addition to separating the principal work items and unit price component model. Generally, the precision and absolute error rates fall into acceptable ranges when the proposed systematic simulation procedures are adopted. The cost simulation approach offers a simplified decision tool for fairly assessing Construction cost and uncertainties based on the experienced judgment of project managers.
Meiyung Leung - One of the best experts on this subject based on the ideXlab platform.
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models of causal relationships of critical teaching surface learning process factors amongst Construction Engineering undergraduates
Journal for Education in the Built Environment, 2008Co-Authors: Meiyung Leung, Ying Wang, Paul OlomolaiyeAbstract:Education is a teaching-learning systemic process, involving teachers, students, the curriculum content and the environment. The process consists of three sub-processes, namely teaching, learning a...
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structural surface achieving model in the teaching and learning process for Construction Engineering students
Journal of Professional Issues in Engineering Education and Practice, 2007Co-Authors: Meiyung Leung, Ying Wang, David ChanAbstract:Education is a systematic teaching-learning process involving four main components (teachers, students, knowledge, and the environment) and three main subprocesses (teaching, learning, and evaluation). Throughout the education process, students’ learning is considered as the core subprocess, though various interactions are involved among the variables in the components. The surface-achieving learning approach (achieving motive and surface strategy) is not generally recommended by educational psychologists, but it is the most popular learning approach used by Construction Engineering students in Hong Kong. In order to investigate the reasons for this phenomenon, a structural surface-achieving learning model is established that includes key learning factors. In this paper, teaching approach, learning approach (achieving motive and surface strategy), year of study, gender, performance, and satisfaction are all considered as major elements of the teaching-learning process. Using the LISREL program, three opti...
Peng Wang - One of the best experts on this subject based on the ideXlab platform.
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a critical review of the use of virtual reality in Construction Engineering education and training
International Journal of Environmental Research and Public Health, 2018Co-Authors: Peng Wang, Jun Wang, Hunglin Chi, Xiangyu WangAbstract:Virtual Reality (VR) has been rapidly recognized and implemented in Construction Engineering education and training (CEET) in recent years due to its benefits of providing an engaging and immersive environment. The objective of this review is to critically collect and analyze the VR applications in CEET, aiming at all VR-related journal papers published from 1997 to 2017. The review follows a three-stage analysis on VR technologies, applications and future directions through a systematic analysis. It is found that the VR technologies adopted for CEET evolve over time, from desktop-based VR, immersive VR, 3D game-based VR, to Building Information Modelling (BIM)-enabled VR. A sibling technology, Augmented Reality (AR), for CEET adoptions has also emerged in recent years. These technologies have been applied in architecture and design visualization, Construction health and safety training, equipment and operational task training, as well as structural analysis. Future research directions, including the integration of VR with emerging education paradigms and visualization technologies, have also been provided. The findings are useful for both researchers and educators to usefully integrate VR in their education and training programs to improve the training performance.
David Chan - One of the best experts on this subject based on the ideXlab platform.
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structural surface achieving model in the teaching and learning process for Construction Engineering students
Journal of Professional Issues in Engineering Education and Practice, 2007Co-Authors: Meiyung Leung, Ying Wang, David ChanAbstract:Education is a systematic teaching-learning process involving four main components (teachers, students, knowledge, and the environment) and three main subprocesses (teaching, learning, and evaluation). Throughout the education process, students’ learning is considered as the core subprocess, though various interactions are involved among the variables in the components. The surface-achieving learning approach (achieving motive and surface strategy) is not generally recommended by educational psychologists, but it is the most popular learning approach used by Construction Engineering students in Hong Kong. In order to investigate the reasons for this phenomenon, a structural surface-achieving learning model is established that includes key learning factors. In this paper, teaching approach, learning approach (achieving motive and surface strategy), year of study, gender, performance, and satisfaction are all considered as major elements of the teaching-learning process. Using the LISREL program, three opti...
