In the ever-evolving landscape of construction technology, a groundbreaking study led by Yu-Cheng Lin from the Department of Civil Engineering is set to revolutionize how junior engineers learn construction operation sequencing. The research, published in the esteemed journal *Advances in Civil Engineering* (translated from Chinese as “Advances in Civil Engineering”), introduces a Building Information Modeling (BIM)-based learning and training (CBLT) system that promises to enhance efficiency and knowledge transfer in the construction industry.
Traditionally, senior engineers in Taiwan have relied on two-dimensional (2D) shop drawings and documents to teach construction operation sequencing to their junior counterparts. However, this method has proven challenging for many junior engineers to grasp. “Many junior engineers find it difficult to understand construction operation sequencing when their instructors use 2D illustrations,” Lin explains. The COVID-19 pandemic has further highlighted the need for innovative training approaches, accelerating the shift towards digital and visual learning platforms.
Lin’s study addresses these challenges by developing a CBLT system that leverages BIM technology to create an immersive and interactive learning environment. The system was tested on a building project in Taiwan, demonstrating significant improvements in learning efficiency and knowledge retention. “The CBLT system not only increases learning and training efficiency but also facilitates the transfer and reuse of senior engineers’ knowledge and experience for effective construction operation sequencing at job sites,” Lin notes.
The implications of this research extend beyond the construction industry, particularly in the energy sector. As energy projects become increasingly complex, the need for efficient and accurate construction operation sequencing becomes paramount. The CBLT system can help energy companies streamline their training processes, reduce errors, and enhance overall project management.
Moreover, the CBLT system’s ability to capture and reuse the expertise of senior engineers can help bridge the knowledge gap that often occurs as experienced professionals retire or move on to other roles. This is particularly valuable in the energy sector, where the loss of institutional knowledge can have significant commercial impacts.
The research by Yu-Cheng Lin and his team represents a significant step forward in the integration of technology into construction training. As the industry continues to embrace digital transformation, the CBLT system offers a promising solution to enhance learning and training processes, ultimately leading to more efficient and effective construction operations. The study’s findings, published in *Advances in Civil Engineering*, underscore the potential of BIM technology to reshape the future of construction training and beyond.