- Conference Session
- Student Engagement in Construction Education
- Collection
- 2024 ASEE Annual Conference & Exposition
- Authors
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Hariharan Naganathan, Wentworth Institute of Technology; John Cribbs Ph.D., Wentworth Institute of Technology
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Diversity
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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
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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
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Diversity
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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
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Luciana Debs, Purdue University; Alex Souza; Fernando Romero Moraes, University of Massachusetts Amherst
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Diversity
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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