Research on the Transformation of Engineering Ethics Curriculum Teaching Mode Enabled by Artificial Intelligence
- DOI
- 10.2991/978-94-6239-733-0_9How to use a DOI?
- Keywords
- Artificial Intelligence; Engineering Ethics; Contextual Learning; Ethical Literacy
- Abstract
Against the backdrop of rapid development in artificial intelligence, the teaching philosophy, content system and instructional methods of the Engineering Ethics course are facing unprecedented challenges and opportunities. This study aims to explore new pathways for the deep integration of artificial intelligence into the Engineering Ethics curriculum. By designing three modules—knowledge graph, virtual simulation and intelligent evaluation—it constructs a teaching system that supports contextual learning, dynamic interaction and objective feedback. Preliminary practical research indicates that the findings of this paper can not only improve the immersion and engagement of the course, but also effectively strengthen students’ ethical judgment and sense of responsibility in complex engineering scenarios. It thus provides a referential implementation framework for cultivating future engineers with both technical competence and ethical literacy under the background of emerging 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.
Cite this article
TY - CONF AU - Yike Wang AU - Tao Xu AU - Ying Cao AU - Ru Miao PY - 2026 DA - 2026/07/17 TI - Research on the Transformation of Engineering Ethics Curriculum Teaching Mode Enabled by Artificial Intelligence BT - Proceedings of the 6th International Conference on Internet, Education and Information Technology (IEIT 2026) PB - Atlantis Press SP - 60 EP - 69 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6239-733-0_9 DO - 10.2991/978-94-6239-733-0_9 ID - Wang2026 ER -