Conference paper 2024

Exploration of Vocational College Education Mechanism - Modular Course Development to Adapt to the Upgrading of Enterprise Production Lines

2024 5th International Conference on Information Science and Education, ICISE-IE 2024
Conference · pp. 191-194
Abstract

In response to the evolving job responsibilities driven by the upgrading of enterprise production lines, this study proposes a framework for developing modular courses based on finite element technology. Initially, the teaching content was designed in alignment with industry demands. Subsequently, geometric and finite element models were established based on the operational principles of production line detection systems. Third, numerical calculations yielded visual resources, exemplified by Mises stress plots and displacement (U) plots. These visual aids facilitated the creation of a modular curriculum, which was implemented through teaching experiments followed by comprehensive evaluations. Results indicate that the modular course effectively enables students to grasp the operational principles, procedural workflows, and mechanical performance assessments of detection systems. By incorporating digital materials and interactive teaching methods, student engagement and motivation were significantly enhanced. This approach allows vocational colleges to better adapt to the changing needs of enterprises, thereby developing more effective modular courses that cultivate high-quality skilled personnel. © 2024 IEEE.

Keywords

Author Keywords

Vocational colleges education Modular Courses course development enterprise production lines

Index Keywords

Teaching Curricula Engineering education Apprentices Education computing Students Vocational colleges Modulars Modular course College education Course development Detection system Enterprise production Enterprise production line Operational principles Production line
Author Affiliations
School of Automotive Engineering, Beijing Polytechnic, Beijing, Beijing, China
College of Automation Engineering, Beijing Polytechnic, Beijing, Beijing, China
Funding & Acknowledgements
Grant: 2024X102-SXZZ
This research was supported by the Key scientific research project of Beijing Polytechnic (Project No. 2024X102-SXZZ; Project Leader: Shang Wang).
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