ChatGPT as an educational resource for civil engineering students

Author:

Uddin S M Jamil1ORCID,Albert Alex2,Tamanna Mahzabin3,Ovid Anto2,Alsharef Abdullah4

Affiliation:

1. Stock Development Department of Construction Management Florida Gulf Coast University Fort Myers Florida USA

2. Department of Civil, Construction, and Environmental Engineering North Carolina State University Raleigh North Carolina USA

3. Department of Computer Science North Carolina State University Raleigh North Carolina USA

4. Civil Engineering Department, College of Engineering King Saud University Riyadh Kingdom of Saudi Arabia

Abstract

AbstractThe purpose of the investigation was to evaluate the utility of ChatGPT, a state‐of‐the‐art language model developed by Open AI, in the context of civil engineering education. To achieve this objective, 44 civil engineering students from a large state university in the United States were recruited and asked to respond to three questions pertaining to Construction Surveying and Geomatics. The students were then introduced to ChatGPT and provided with guidelines on how the platform could be utilized for educational purposes, including obtaining answers to questions like those presented to them earlier. The students were then given the opportunity to leverage ChatGPT to obtain responses to questions they had been presented with earlier and any other related queries of interest. Subsequently, the students were asked to provide written responses to the same questions they were presented with earlier, but without access to ChatGPT or its response, to assess any knowledge gains. The investigation also captured the student's acceptance and perceived usability based on their experience of using ChatGPT. The findings indicated that the student's written responses were more thorough, detailed, and informative after utilizing ChatGPT. The results also revealed that ChatGPT was largely well‐received by the students and they held a positive perception of the AI platform. The findings can inform efforts targeted at successfully integrating AI tools for civil engineering education.

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3