Proceedings of the 3rd International Conference on Educational Development and Social Sciences (EDSS 2026)

Research on Teaching System Reform of Computer Vision Under Emerging Engineering Education

Authors
Fang Guo1, *, Yu Mei1
1College of Computer and Information, Qiannan Normal University for Nationalities, Duyun, China
*Corresponding author. Email: gchunji@163.com
Corresponding Author
Fang Guo
Available Online 1 May 2026.
DOI
10.2991/978-2-38476-569-0_3How to use a DOI?
Keywords
Emerging Engineering Education; Computer Vision; Teaching System Reform; Engineering Practice
Abstract

Against the dual backdrop of the comprehensive advancement of Emerging Engineering Education and the rapid iteration of artificial intelligence technology, Computer Vision, as a core course bridging theoretical knowledge and engineering practice, is confronting a series of prominent issues, such as the disconnection between teaching content and the actual needs of the industry, the rigid and simplistic teaching model, and the inadequate evaluation system. This paper proposes a “three-layer and four-dimensional” curriculum teaching system reform framework. The “three layers” constitute a progressive knowledge chain, including the foundation layer, the core layer, and the application layer. The “four dimensions” represent multi-faceted training objectives encompassing knowledge, competence, quality, and innovation. This framework is specifically designed to bridge the gap between teaching content and industrial demands, and further enhance students’ comprehensive engineering capabilities. Through dynamic content iteration, scenario-based case instruction, whole-process practical project design, and the establishment of a multi-dimensional evaluation system, this study proactively achieves in-depth alignment between curriculum teaching, industrial demands, and technological frontiers—effectively bridging the traditional gap between academia and industry. Practice has demonstrated that this system has increased the compliance rate of students’ engineering practice capabilities from 42% (before the reform) to 89% (after the reform), providing valuable references for the reform of similar courses under the background of Emerging Engineering Education. Future research can further optimize the framework by integrating more cutting-edge industrial scenarios and intelligent evaluation tools.

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 3rd International Conference on Educational Development and Social Sciences (EDSS 2026)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
1 May 2026
ISBN
978-2-38476-569-0
ISSN
2352-5398
DOI
10.2991/978-2-38476-569-0_3How 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

TY  - CONF
AU  - Fang Guo
AU  - Yu Mei
PY  - 2026
DA  - 2026/05/01
TI  - Research on Teaching System Reform of Computer Vision Under Emerging Engineering Education
BT  - Proceedings of the 3rd International Conference on Educational Development and Social Sciences (EDSS 2026)
PB  - Atlantis Press
SP  - 12
EP  - 20
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-569-0_3
DO  - 10.2991/978-2-38476-569-0_3
ID  - Guo2026
ER  -