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Exploring the Impact of Large Language Models on Building Construction Students: A Pilot Study

11 pagesPublished: July 23, 2025

Abstract

Large language models (LLMs) have begun transforming multiple industries, including construction. This study explores the opportunities and challenges posed by advanced AI systems such as ChatGPT and its counterparts in the educational realm of building construction. As educators, it is crucial to understand the utilization of these AI systems by students and their impact on learning experiences. This initial study investigates the relationship between LLMs and building construction students at Auburn University. By examining the prevalence of LLM usage, primary use cases, student perceptions, and preferred platforms, we aim to gather valuable insights into the initial adoption and effects of LLMs. Our goal is to conduct a market survey to understand student experiences, attitudes, and beliefs regarding LLMs. Results indicate high adoption rates among students which highlight areas for improvement and opportunities for further research. Educational institutions, and programs like Construction Management, play a vital role in bridging knowledge gaps, addressing mistrust, and maximizing LLM benefits for academic success. Through targeted training, improved communication, and ongoing exploration, educators can ensure students fully leverage LLM capabilities to enhance their learning and professional development.

Keyphrases: ai tools, building construction, construction education, large language model (llm), student experience

In: Wesley Collins, Anthony J. Perrenoud and John Posillico (editors). Proceedings of Associated Schools of Construction 61st Annual International Conference, vol 6, pages 142-152.

BibTeX entry
@inproceedings{ASC2025:Exploring_Impact_Large_Language,
  author    = {Tom Leathem and Eric Wetzel and C. Ben Farrow and Muhammad Umer},
  title     = {Exploring the Impact of Large Language Models on Building Construction Students: A Pilot Study},
  booktitle = {Proceedings of Associated Schools of Construction 61st Annual International Conference},
  editor    = {Wesley Collins and Anthony J. Perrenoud and John Posillico},
  series    = {EPiC Series in Built Environment},
  volume    = {6},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2632-881X},
  url       = {/publications/paper/TWgJ},
  doi       = {10.29007/llkw},
  pages     = {142-152},
  year      = {2025}}
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