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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

Research on the Application of Data Mining Technology in College Teaching Quality Monitoring and Evaluation System

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-63130-6_6,
        author={Miaomiao Xu and Xie Suofei and Xie Ping},
        title={Research on the Application of Data Mining Technology in College Teaching Quality Monitoring and Evaluation System},
        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={Teaching quality Data mining Monitor Assessment},
        doi={10.1007/978-3-031-63130-6_6}
    }
    
  • Miaomiao Xu
    Xie Suofei
    Xie Ping
    Year: 2024
    Research on the Application of Data Mining Technology in College Teaching Quality Monitoring and Evaluation System
    BIGIOT-EDU
    Springer
    DOI: 10.1007/978-3-031-63130-6_6
Miaomiao Xu1,*, Xie Suofei1, Xie Ping1
  • 1: Anhui Xinhua University, Hefei
*Contact email: xmm0109232@163.com

Abstract

With the advent of the era of knowledge and information, the web-based management system has been widely used, which not only promotes the innovation of higher education management system, but also improves the management level of teaching management departments. Because there are a lot of data in the university educational administration database, it is very important to find useful information from the database in the evaluation system. This paper makes a quantitative study on the technology in the monitoring and college teaching quality. This research is technology. The first stage of this study aims to determine the main characteristics of teaching quality, which come from different sources, such as students’ evaluation, teachers’ evaluation and students’ views on teachers. The second stage is to use these characteristics.

Keywords
Teaching quality Data mining Monitor Assessment
Published
2024-07-17
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-63130-6_6
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