- Conference Session
- Construction Engineering Division (CONST) Poster Session
- Collection
- 2024 ASEE Annual Conference & Exposition
- Authors
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Tianjiao Zhao, East Carolina University; George C. Wang P.E., East Carolina University; Ron Chance, East Carolina University; Chelsea Rebecca Buckhalter, East Carolina University
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Construction Engineering Division (CONST)
,” ijli, vol. 2, no. 3, pp. 1–47, Jul. 2023, doi: 10.54855/ijli.23231.[8] M. Salvagno, F. S. Taccone, and A. G. Gerli, “Can artificial intelligence help for scientific writing?,” Crit Care, vol. 27, no. 1, p. 75, Feb. 2023, doi: 10.1186/s13054-023-04380-2.[9] F. A. Shah, “IS CHATGPT A SILVER BULLET FOR SCIENTIFIC MANUSCRIPT WRITING?,” JPMI, Mar. 2023, doi: 10.54079/jpmi.37.1.3219.[10] T. Day, “A Preliminary Investigation of Fake Peer-Reviewed Citations and References Generated by ChatGPT,” The Professional Geographer, vol. 75, no. 6, pp. 1024–1027, Nov. 2023, doi: 10.1080/00330124.2023.2190373.[11] F. Farhat, S. S. Sohail, and D. Ø. Madsen, “How trustworthy is ChatGPT? The case of bibliometric analyses,” Cogent Engineering
- Conference Session
- Artificial Intelligence (AI) and Case Studies in Construction Education
- Collection
- 2024 ASEE Annual Conference & Exposition
- Authors
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Long Duy Nguyen P.E., Florida Gulf Coast University; Zofia Kristina Rybkowski, Texas A&M University; Anh D. Chau P.E., Florida Gulf Coast University; Daniel Linares, Florida Gulf Coast University
- Tagged Divisions
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Construction Engineering Division (CONST)
ethics to mobile technology. A multitude of “how to write a teachingcase study” guidelines are available, including in construction education. However, literature thatprovides insights into developing a specific case study in construction engineering andmanagement is scarce. To fill this knowledge gap, this paper presents the dynamics ofdeveloping an educational case study to explore the implementation of target value design(TVD). This case study was developed for engineering and construction management students toformulate, discuss, and decide on strategies, actions, and solutions to provide the best value tothe project owner when implementing TVD. This work-in-progress paper focuses on the pilottest when developing the case study. Pre-class
- Conference Session
- Project/Problem Based Learning (PBL) in Construction Education
- Collection
- 2024 ASEE Annual Conference & Exposition
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Raissa Seichi Marchiori, The University of Alabama; Siyuan Song, The University of Alabama
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Construction Engineering Division (CONST)
engineering education. Through these research topics, Raissa has been publishing papers for peer-reviewed journal and conference proceedings. Also, she is part of Dr. Siyuan Song’s research lab, the Safety Automation and Visualization Environment (SAVE) Laboratory, which integrates technologies and education themes to improve building performance and safety engineering.Dr. Siyuan Song, The University of Alabama Dr. Siyuan Song is an Assistant Professor in the Department of Civil, Construction, and Environmental engineering at the University of Alabama. Her research interests include Occupational Safety and Health, Training and Workforce Development, Engineering Education, Building Information Modeling, Machine Learning