Evaluating the Performance of Artificial Intelligence Chatbots and Large Language Models in the FE and PE Structural Exams
Publication: Practice Periodical on Structural Design and Construction
Volume 29, Issue 2
Abstract
Forum papers are thought-provoking opinion pieces or essays founded in fact, sometimes containing speculation, on a civil engineering topic of general interest and relevance to the readership of the journal. The views expressed in this Forum article do not necessarily reflect the views of ASCE or the Editorial Board of the journal.
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Data Availability Statement
No data, models, or code were generated or used during the study.
References
Adamopoulou, E., and L. Moussiades. 2020. “An overview of chatbot technology.” In IFIP advances in information and communication technology, 373–383. Berlin: Springer. https://doi.org/10.1007/978-3-030-49186-4.
Google. 2023. “Bard FAQ.” Accessed February 23, 2023. https://bard.google.com/faq.
Johnston, D. W., N. T. Ahluwalia, and M. B. Gwyn. 2007. “Improving the professional engineering licensure process for construction engineers” J. Constr. Eng. Manage. 133 (9): 669–677. https://doi.org/10.1061/(ASCE)0733-9364(2007)133:9(669).
NCEES (National Council of Examiners for Engineering and Surveying). 2023a. “Exam prep.” Accessed February 23, 2023. https://ncees.org/exams/exam-preparation-materials/.
NCEES (National Council of Examiners for Engineering and Surveying). 2023b. “National Council of Examiners for Engineering and Surveying (NCEES).” Accessed February 23, 2023. https://ncees.org/.
OpenAI. 2023. “ChatGPT—Release notes.” Accessed February 23, 2023. https://help.openai.com/en/articles/6825453-chatgpt-release-notes.
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© 2024 American Society of Civil Engineers.
History
Received: Apr 7, 2023
Accepted: Oct 23, 2023
Published online: Jan 11, 2024
Published in print: May 1, 2024
Discussion open until: Jun 11, 2024
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