Research Article
Analysis on the Teaching Effect of College Students Based on Data Mining Algorithm
@INPROCEEDINGS{10.1007/978-3-031-63130-6_15, author={Haifeng Xu and Yang Tong and Liao Jun}, title={Analysis on the Teaching Effect of College Students Based on Data Mining Algorithm}, proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Third EAI International Conference, BigIoT-EDU 2023, August 29-31, 2023, Liuzhou, China, Proceedings, Part I}, proceedings_a={BIGIOT-EDU}, year={2024}, month={7}, keywords={big data theory university students Sports Learning Effect}, doi={10.1007/978-3-031-63130-6_15} }- Haifeng Xu
Yang Tong
Liao Jun
Year: 2024
Analysis on the Teaching Effect of College Students Based on Data Mining Algorithm
BIGIOT-EDU
Springer
DOI: 10.1007/978-3-031-63130-6_15
Abstract
The role of learning effect physical, but there the learning effect is not satisfactory. Manual analysis cannot solve the problem of poor learning effect in physical education of college students, and there are fewer learning indicators. Therefore, this to construct an evaluation model for the effect students’ physical education. Firstly, the big data theory to evaluate the effect of college, and the evaluation collection is divided to the teaching norms the evaluation. Then, the big data theory is used to evaluate the physical education teaching of college students, form an evaluation set, and comprehensively evaluate the results. MATLAB that under teaching requirements, the d evaluation accuracy and evaluation time are better than the manual analysis method.
