Teaching Optimization of Machinery Foundation in Vocational Colleges Based on Orthogonal Experiment
- DOI
- 10.2991/978-2-38476-309-2_78How to use a DOI?
- Keywords
- Orthogonal experiment; Machinery Foundation course; Teaching optimization
- Abstract
The close combination of information technology and advanced manufacturing has promoted the process of global education modernization. Against this backdrop, this paper addresses issues inherent in the conventional instruction of the ‘Machinery Foundation’ course by employing an orthogonal experimental design to investigate the optimal pedagogical approach. This endeavor aims to markedly enhance teaching efficacy and quality, catalyzing educational innovation. Findings indicate that combining the ADDIE instructional model with onsite learning methods and multidimensional assessment yields superior educational outcomes. Based on this, the paper puts forward specific optimization measures for the classroom teaching of research courses from three aspects: teaching mode selection, instructional organization and teaching evaluation setting. Practice has proved that this method significantly promotes the innovation of education and teaching, and provides a reference for more extensive vocational education and training.
- Copyright
- © 2024 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 - Xiwen Wang AU - Yonghuan Guo AU - Beibei Yang PY - 2024 DA - 2024/12/09 TI - Teaching Optimization of Machinery Foundation in Vocational Colleges Based on Orthogonal Experiment BT - Proceedings of the 2024 9th International Conference on Modern Management, Education and Social Sciences (MMET 2024) PB - Atlantis Press SP - 643 EP - 649 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-309-2_78 DO - 10.2991/978-2-38476-309-2_78 ID - Wang2024 ER -