Research on Teaching Reform of Machine Vision Course in Application-Oriented University
- DOI
- 10.2991/978-94-6463-172-2_69How to use a DOI?
- Keywords
- machine vision; application-oriented undergraduate; teaching reform; course objectives
- Abstract
In the context of Industry 4.0, it is increasingly necessary to carry out undergraduate teaching of machine vision. Combined with the characteristics of this course and the characteristics of the intelligent manufacturing specialty in the application-oriented undergraduate colleges, the problems faced by this course in the early stage, such as the poor integration with the traditional mechanical specialty courses, the poor enthusiasm of students, and the limitations faced by the teaching content, were improved. The reform was mainly carried out from three aspects of teaching content, teaching mode and assessment method, and the curriculum objectives were evaluated. The degree of achievement exceeded 0.85. The curriculum after the reform was more popular with students, and more in line with the professional development and the training objectives of today’s application-oriented undergraduate students.
- Copyright
- © 2023 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 - Sai Li AU - Guolin Zhai PY - 2023 DA - 2023/06/30 TI - Research on Teaching Reform of Machine Vision Course in Application-Oriented University BT - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023) PB - Atlantis Press SP - 651 EP - 661 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-172-2_69 DO - 10.2991/978-94-6463-172-2_69 ID - Li2023 ER -