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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

Research Article

The Application Study of Data Mining Technology in Education Management

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-63130-6_13,
        author={Chengyi Niu and Zhang Jie},
        title={The Application Study of Data Mining Technology in Education Management},
        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={intelligence technology teaching management Analysis},
        doi={10.1007/978-3-031-63130-6_13}
    }
    
  • Chengyi Niu
    Zhang Jie
    Year: 2024
    The Application Study of Data Mining Technology in Education Management
    BIGIOT-EDU
    Springer
    DOI: 10.1007/978-3-031-63130-6_13
Chengyi Niu1,*, Zhang Jie1
  • 1: Student Affairs Office, Criminal Investigation Police, University of China, Shenyang
*Contact email: lcy_666888@163.com

Abstract

The role of data mining technology in teaching management is very important, but there is a problem of low management level . In the past, the teaching management method could not solve the problem of management level in teaching management, and there were few management level indicators. Therefore, this paper proposes a data mining technique to construct a teaching management model. Firstly, data mining technology is used to analyze the management data of teaching management and manage the data according to teaching standards Divide and reduce interference factors in the management level. Then, the data mining technology manages the teaching management content, forms the teaching management results, and continuously analyzes the management data. MATLAB simulation shows that under the condition of certain teaching management requirements, the management accuracy and analysis time of data mining technology are better than before Teaching Management Method.

Keywords
intelligence technology teaching management Analysis
Published
2024-07-17
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-63130-6_13
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