Research Article
Evaluation Method of Higher Vocational Online Education Effect Based on Data Mining Algorithm
@INPROCEEDINGS{10.1007/978-3-031-50546-1_4, author={Mengxing Niu and Xiaoli Wang}, title={Evaluation Method of Higher Vocational Online Education Effect Based on Data Mining Algorithm}, proceedings={Advanced Hybrid Information Processing. 7th EAI International Conference, ADHIP 2023, Harbin, China, September 22-24, 2023, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2024}, month={3}, keywords={Data Mining Algorithm Vocational School On-line Education Effect Evaluation}, doi={10.1007/978-3-031-50546-1_4} }- Mengxing Niu
Xiaoli Wang
Year: 2024
Evaluation Method of Higher Vocational Online Education Effect Based on Data Mining Algorithm
ADHIP PART 2
Springer
DOI: 10.1007/978-3-031-50546-1_4
Abstract
Conventional online education effect evaluation methods in higher vocational education mainly use the random subjective evaluation framework to obtain evaluation factors, which is vulnerable to the impact of micro personalized differences, resulting in low comprehensive evaluation indicators of education effect. Therefore, a new online education effect evaluation method in higher vocational education needs to be designed based on data mining algorithms. That is to say, the online education effect evaluation system is determined, the online education effect evaluation model of higher vocational education is constructed based on the data mining algorithm. The case analysis results show that the designed evaluation method for online education effect of higher vocational education has good evaluation effect, high comprehensive evaluation index, reliability and certain application value, and has made certain contributions to the follow-up optimization and reform of online education of higher vocational education.
