Proceedings of the 2025 5th International Conference on Education, Language and Art (ICELA 2025)

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AI-Based Smart Teaching Model for Fundamentals of Control in Mechanical Engineering Using Digital Twins

Authors
Tianyu Li1, Fupu Xie1, Lingtao Huang1, Shixin Song1, Tianye Yang1, *
1School of Mechanical and Aerospace Engineering, Jilin University, Changchun, JL, 13000, China
*Corresponding author.
Corresponding Author
Tianye Yang
Available Online 15 February 2026.
DOI
10.2991/978-94-6463-988-9_17How to use a DOI?
Keywords
Artificial Intelligence; Digital Twin; Smart Teaching; Personalized Learning Pathways
Abstract

The course Fundamentals of Control in Mechanical Engineering shows a mismatch: theory is heavy, experiments are demanding, and traditional teaching delivers limited results. To respond, this study develops an intelligent teaching model that integrates artificial intelligence and digital twins. The design is student centered, problem based, and supported by data. It adopts a three layer structure with a physical layer, a digital twin layer, and an intelligent application layer. The model supports realistic virtual simulation and two way interaction with physical experiments. Within this framework, we build a high fidelity digital twin system, a personalized learning engine that uses knowledge graphs and collaborative filtering, and a real time diagnostic feedback system that combines rule engines with machine learning. These components form a virtual and physical interactive, AI supported teaching model. Experiments indicate that the model improves learning and provides a practical reference for the digital transformation of basic engineering courses under new engineering initiatives.

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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Volume Title
Proceedings of the 2025 5th International Conference on Education, Language and Art (ICELA 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
15 February 2026
ISBN
978-94-6463-988-9
ISSN
2352-5398
DOI
10.2991/978-94-6463-988-9_17How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Tianyu Li
AU  - Fupu Xie
AU  - Lingtao Huang
AU  - Shixin Song
AU  - Tianye Yang
PY  - 2026
DA  - 2026/02/15
TI  - AI-Based Smart Teaching Model for Fundamentals of Control in Mechanical Engineering Using Digital Twins
BT  - Proceedings of the 2025 5th International Conference on Education, Language and Art (ICELA 2025)
PB  - Atlantis Press
SP  - 141
EP  - 146
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-94-6463-988-9_17
DO  - 10.2991/978-94-6463-988-9_17
ID  - Li2026
ER  -