Exploring the Application of AI in Teaching Civil Engineering Mechanics

DOI

10.2991/978-94-6463-988-9_41How to use a DOI?

Keywords

Artificial Intelligence; Civil Engineering Mechanics; Teaching Reform; Large Language Model

Abstract

With the rapid development of artificial intelligence (AI) technology and its deep integration into various industries, the civil engineering field faces dual challenges of industry downturn and technological innovation, making the reform of mechanics teaching imperative. This paper analyzes the problems existing in traditional civil engineering mechanics teaching, such as the disconnection between theory and practice, outdated teaching content, single teaching methods, and insufficient digital application. It explores the feasibility of empowering mechanics teaching with AI technology. On this basis, the paper focuses on proposing four specific measures: constructing a large language model for the civil engineering domain, developing virtual simulation experiment platforms, implementing dynamic learning assessment systems, and promoting the deep integration of industry, academia, and research, illustrated with examples from specific courses such as Mechanics of Materials, Structural Mechanics, and Soil Mechanics. Simultaneously, it points out potential risks that need to be avoided, such as over-reliance on AI, lagging data updates, and technological hype. Finally, the paper summarizes and looks forward to the broad prospects of AI technology in promoting the development of civil engineering mechanics teaching towards intelligence, personalization, and practicality.

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 Application of AI in Teaching Civil Engineering Mechanics
BT  - Proceedings of the 2025 5th International Conference on Education, Language and Art (ICELA 2025)
PB  - Atlantis Press
SP  - 362
EP  - 369
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-94-6463-988-9_41
DO  - 10.2991/978-94-6463-988-9_41
ID  - Huang2026
ER  -