Exploration of Computer Vision Teaching Methods Based on Multidisciplinary Integration

DOI

10.2991/978-2-38476-462-4_31How to use a DOI?

Keywords

Multidisciplinary integration; new engineering education; computer vision; teaching reform

Abstract

Cultivating compound talents with interdisciplinary and comprehensive application capabilities has become the core task of current education reform. This study aims to explore how to improve the teaching methods of computer vision courses through multidisciplinary integration under the background of new engineering education. At present, the teaching of computer vision courses has problems such as disconnection between theory and practice, insufficient integration of basic subject knowledge, and lagging course content updates. To solve these problems, this paper constructs a multidisciplinary integration teaching model of theory, practice, and application based on constructivism, experiential learning, and Bloom’s cognitive goal theory. Based on the concept of multidisciplinary integration, the research questions and research methods of course knowledge are refined, the teaching model is innovated, and students’ innovation ability and ability to solve complex problems are improved. Through the teaching pilot in the computer vision course of our school, using questionnaire surveys, test scores, project evaluation and other data, the results show that this model significantly improves students’ theoretical mastery, practical skills and interdisciplinary application ability, and provides an effective path for the cultivation of high-level compound talents under the background of new engineering education.

Copyright

© 2025 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  - Jun Zhou
AU  - Xun Pu
AU  - Shanxiong Chen
PY  - 2025
DA  - 2025/09/12
TI  - Exploration of Computer Vision Teaching Methods Based on Multidisciplinary Integration
BT  - Proceedings of the 2025 9th International Seminar on Education, Management and Social Sciences (ISEMSS 2025)
PB  - Atlantis Press
SP  - 271
EP  - 280
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-462-4_31
DO  - 10.2991/978-2-38476-462-4_31
ID  - Zhou2025
ER  -