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Advanced Hybrid Information Processing. 7th EAI International Conference, ADHIP 2023, Harbin, China, September 22-24, 2023, Proceedings, Part I

Research Article

Evaluation Method of Online Education Effect in Colleges and Universities Based on Data Mining

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-50543-0_32,
        author={Huibing Cao},
        title={Evaluation Method of Online Education Effect in Colleges and Universities Based on Data Mining},
        proceedings={Advanced Hybrid Information Processing. 7th EAI International Conference, ADHIP 2023, Harbin, China, September 22-24, 2023, Proceedings, Part I},
        proceedings_a={ADHIP},
        year={2024},
        month={3},
        keywords={Data mining Universities On-line Education Effect Evaluation},
        doi={10.1007/978-3-031-50543-0_32}
    }
    
  • Huibing Cao
    Year: 2024
    Evaluation Method of Online Education Effect in Colleges and Universities Based on Data Mining
    ADHIP
    Springer
    DOI: 10.1007/978-3-031-50543-0_32
Huibing Cao1,*
  • 1: College of Digital Economics, Nanning University
*Contact email: caohuibing1979@163.com

Abstract

In order to improve the accuracy of online education evaluation results and lay a solid foundation for improving the level and quality of online education, data mining technology is introduced. Based on data mining technology, this paper studies the effectiveness evaluation method of online education in colleges and universities, and puts forward the effectiveness evaluation model of online education in colleges and universities. The decision problem is decomposed into hierarchical structure, the data mining technology is used to analyze the relevant data, and the evaluation table is constructed. The effectiveness of online education is evaluated comprehensively and multi-dimensionally based on association rules. The experimental results show that the method has high feasibility and accuracy, the confidence level is more than 96%, and the response time is less than 10ms, which is superior to the traditional method, proving that the method has significant advantages and potential in practical application.

Keywords
Data mining Universities On-line Education Effect Evaluation
Published
2024-03-24
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-50543-0_32
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