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Application of Big Data, Blockchain, and Internet of Things for Education Informatization. First EAI International Conference, BigIoT-EDU 2021, Virtual Event, August 1–3, 2021, Proceedings, Part II

Research Article

Research on Management Mechanism of Higher Education Based on Big Data Analysis

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  • @INPROCEEDINGS{10.1007/978-3-030-87903-7_47,
        author={Zhili Ni},
        title={Research on Management Mechanism of Higher Education Based on Big Data Analysis},
        proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. First EAI International Conference, BigIoT-EDU 2021, Virtual Event, August 1--3, 2021, Proceedings, Part II},
        proceedings_a={BIGIOT-EDU PT2},
        year={2021},
        month={10},
        keywords={Higher education Total quality management Management mechanismm},
        doi={10.1007/978-3-030-87903-7_47}
    }
    
  • Zhili Ni
    Year: 2021
    Research on Management Mechanism of Higher Education Based on Big Data Analysis
    BIGIOT-EDU PT2
    Springer
    DOI: 10.1007/978-3-030-87903-7_47
Zhili Ni1
  • 1: Wuhan Railway Vocational College of Technology

Abstract

With the development of the era of knowledge economy, higher education in various countries is facing more and more fierce competition and challenges. In order to improve the quality of higher education and the pursuit of high performance of higher education, all countries intend to introduce total quality management into higher education, so as to improve the quality of Education and management efficiency. European and American countries applied TQM to higher education earlier, and have formed a more mature and perfect management system. The overall quality management of higher education should be oriented towards students’ satisfaction, adopting the management method of all staff participation and forming a culture atmosphere of continuous improvement.

Keywords
Higher education Total quality management Management mechanismm
Published
2021-10-18
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-87903-7_47
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