Research Article
Application and Exploration of Project Guidance and Machine Learning Techniques in Mechatronics System Design Teaching
@INPROCEEDINGS{10.4108/eai.23-12-2022.2329173, author={Yongli Wang and Feifan Cao and Xuan Yu and Enfu Li}, title={Application and Exploration of Project Guidance and Machine Learning Techniques in Mechatronics System Design Teaching}, proceedings={Proceedings of the 2nd International Conference on Internet Technology and Educational Informatization, ITEI 2022, December 23-25, 2022, Harbin, China}, publisher={EAI}, proceedings_a={ITEI}, year={2023}, month={6}, keywords={project guidance; teaching model; machine learning; evaluation system; classroom order}, doi={10.4108/eai.23-12-2022.2329173} }- Yongli Wang
Feifan Cao
Xuan Yu
Enfu Li
Year: 2023
Application and Exploration of Project Guidance and Machine Learning Techniques in Mechatronics System Design Teaching
ITEI
EAI
DOI: 10.4108/eai.23-12-2022.2329173
Abstract
In order to improve the deficiencies of the course which focuses on theoretical knowledge lectures but less practical sessions, this paper takes the mechatronics system design course as an example, discusses the implementation method of project practice driven student learning, analyzes the characteristics and advantages of project-based teaching with teaching examples, and proposes a feasible implementation plan. At the same time, based on machine learning technology, a new course teaching effect evaluation system is proposed. Based on the results of software analysis, measures to improve classroom order are proposed for the characteristics of low head-up rate of students in class. The system can overcome the shortcomings of subjective evaluation and also analyze the indicators that could not be measured in the past, which can evaluate the course teaching effect more comprehensively and objectively and efficiently.
