Applications and Explorations of Artificial Intelligence in University Engineering Classroom Teaching

DOI

10.2991/978-2-38476-569-0_13How to use a DOI?

Keywords

artificial intelligence; university engineering education; classroom teaching; teaching reform

Abstract

With the rapid advancement of artificial intelligence (AI), its adoption in higher education has expanded substantially, demonstrating particularly strong potential in engineering-oriented classroom instruction. This study focuses on AI-assisted teaching practices in university engineering classrooms. Based on a questionnaire survey of undergraduate students majoring in Digital Media Technology, we examine the current state of AI-supported instruction, its perceived advantages, existing challenges, and directions for improvement. The findings indicate that students generally hold positive attitudes toward AI in enhancing depth of conceptual understanding, post-class review efficiency, and learning initiative, especially through real-time question answering, personalized learning pathways, and multimodal learning resources. However, current AI-assisted teaching still faces limitations, including insufficient accuracy, misalignment with classroom content, and weak technical stability. Accordingly, we recommend improving content alignment with course objectives, clarifying appropriate use scenarios, strengthening technical support, and guiding students to adopt AI tools critically and responsibly. These measures aim to promote a more effective integration of AI with conventional instruction and support high-quality development in university engineering education.

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  - Dan Zhao
PY  - 2026
DA  - 2026/05/01
TI  - Applications and Explorations of Artificial Intelligence in University Engineering Classroom Teaching
BT  - Proceedings of the 3rd International Conference on Educational Development and Social Sciences (EDSS 2026)
PB  - Atlantis Press
SP  - 105
EP  - 110
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-569-0_13
DO  - 10.2991/978-2-38476-569-0_13
ID  - Zhao2026
ER  -