Exploring the Integration of Artificial Intelligence in Civil Engineering Education Reform

DOI

10.2991/978-94-6463-988-9_40How to use a DOI?

Keywords

Artificial Intelligence; Civil Engineering; Teaching Reform; Large Language Model; Personalized Learning

Abstract

With the rapid advancement of artificial intelligence (AI) technology, civil and transportation engineering education faces an urgent need for digital transformation. This paper analyzes the shortcomings of traditional civil engineering teaching in terms of content, methodology, practical training, and assessment, and explores the feasibility and specific pathways for empowering teaching reform with AI technology. By proposing the construction of domain-specific large language models, the development of multi-scenario intelligent agents, the design of personalized learning paths, and the establishment of virtual-real integrated training platforms, a new teaching model centered on “teacher-machine-student” collaboration is introduced. Concurrently, strategies are proposed to address potential issues in AI application, such as over-reliance, weakening of fundamental theory, and data security. Research indicates that AI holds the potential to profoundly transform civil engineering education towards greater intelligence, personalization, and practicality, providing support for cultivating interdisciplinary engineering talent suited for the digital-intelligent era.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Wen Huang
AU  - Xiang Shen
AU  - Fengling Ji
AU  - Zhonghao Li
PY  - 2026
DA  - 2026/02/15
TI  - Exploring the Integration of Artificial Intelligence in Civil Engineering Education Reform
BT  - Proceedings of the 2025 5th International Conference on Education, Language and Art (ICELA 2025)
PB  - Atlantis Press
SP  - 354
EP  - 361
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-94-6463-988-9_40
DO  - 10.2991/978-94-6463-988-9_40
ID  - Huang2026
ER  -