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Conference Session
Student Engagement in Construction Education
Collection
2024 ASEE Annual Conference & Exposition
Authors
Hariharan Naganathan, Wentworth Institute of Technology; John Cribbs Ph.D., Wentworth Institute of Technology
Tagged Topics
Diversity
Tagged Divisions
Construction Engineering Division (CONST)
, software, andtools can positively impact construction projects by increasing productivity, improving safetyrates, and increasing the success rate of winning construction projects and bids. Interestingly, evenArtificial Intelligence (AI) has made its way into the construction industry, with tools likeChatGPT being utilized to realign project schedules and improve overall project efficiency .Researchers have used ChatGPT to explore integration with digital twins for healthcare, writingmanuscripts, and adapting classroom education to achieve student learning outcomes [18]-[20]. Itis worth noting that tools such as ChatGPT, which have emerged recently as AI-poweredassistants, are still in the process of gathering data to establish their reliability
Conference Session
Broadening Perspectives in Construction Education
Collection
2024 ASEE Annual Conference & Exposition
Authors
Daniel Linares, Florida Gulf Coast University; Diana Marcela Franco Duran, University of Virginia; Kenneth Stafford Sands II, Auburn University; David R. Gutierrez, University of Virginia; Deyrel Diaz, Clemson University
Tagged Topics
Diversity
Tagged Divisions
Construction Engineering Division (CONST)
can understand what is appropriate for this this task? working well or not in task? the project. Which of the following tools are more appropriate for this problem? Expected Correct Answers Drones Virtual Reality Programming ChatGPT (+1) Point
Conference Session
Virtual Design and Construction (VDC) in Construction Education
Collection
2024 ASEE Annual Conference & Exposition
Authors
Luciana Debs, Purdue University; Alex Souza; Fernando Romero Moraes, University of Massachusetts Amherst
Tagged Topics
Diversity
Tagged Divisions
Construction Engineering Division (CONST)
construction industry, even fewer studies haveexplored the impact of predictive analytics using large language models (LLM), such asChatGPT or BERT. Yet, the little existing research also points to the need for reskilling theexisting workforce [17,18], albeit unclear on the broad implications beyond direct developmentand interaction of LLMs. Short- and long-term implications of the use of ChatGPT in allindustries are still unclear [18]. However, due to its analytical nature, it might displace differentpositions than those affected by the use of robotics.Moreover, it is clear through the increased use of information technologies that roles related tothis discipline will start to be part of the building process. For example, the centrality of