Research Article
Teaching Reform and Practice of Mechanical Manufacturing and Automation Courses in the Context of Intelligent Manufacturing
@INPROCEEDINGS{10.4108/eai.29-3-2024.2347643, author={Yan Li and Hongli Zhang and Changheng Liu}, title={Teaching Reform and Practice of Mechanical Manufacturing and Automation Courses in the Context of Intelligent Manufacturing}, proceedings={Proceedings of the 3rd International Conference on Educational Innovation and Multimedia Technology, EIMT 2024, March 29--31, 2024, Wuhan, China}, publisher={EAI}, proceedings_a={EIMT}, year={2024}, month={6}, keywords={intelligent manufacturing; mechanical manufacturing and automation; professional education; reform path; effectiveness assessment}, doi={10.4108/eai.29-3-2024.2347643} }
- Yan Li
Hongli Zhang
Changheng Liu
Year: 2024
Teaching Reform and Practice of Mechanical Manufacturing and Automation Courses in the Context of Intelligent Manufacturing
EIMT
EAI
DOI: 10.4108/eai.29-3-2024.2347643
Abstract
Amidst the rise of intelligent manufacturing, China's mechanical manufacturing and automation majors are undergoing significant industry-education integration. This article proposes a talent training model reform rooted in competency-based education, aimed at addressing industrial transformation effectively. The core of this reform involves creating a new training system that integrates knowledge, skills, and qualities. Curriculum adjustments include the addition of applied modules like engineering training and project practice to enhance students' problem-solving abilities. Teaching methods prioritize hands-on practice through case studies and project-driven learning to bridge theory and practice. Practical experience is gained through close collaboration with enterprises, providing students with real-world engineering exposure. A dynamic monitoring system for knowledge, competencies, and employment quality has been established, yielding substantial results. This reform has produced highly skilled, adaptable talents recognized by businesses, supporting China's shift towards intelligent manufacturing in the mechanical manufacturing sector.