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e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9–10, 2022, Proceedings, Part I

Research Article

Design of Intelligent Education Management Information System in Colleges and Universities from the Perspective of Big Data

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-21161-4_26,
        author={Haiyan Zhao and Shiyuan Liu and Lin Xiao and Kun Liu and Fuxia Liu},
        title={Design of Intelligent Education Management Information System in Colleges and Universities from the Perspective of Big Data},
        proceedings={e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9--10, 2022, Proceedings, Part I},
        proceedings_a={ELEOT},
        year={2023},
        month={3},
        keywords={Big data horizon Education management information Excavate Transformation Clustering Match},
        doi={10.1007/978-3-031-21161-4_26}
    }
    
  • Haiyan Zhao
    Shiyuan Liu
    Lin Xiao
    Kun Liu
    Fuxia Liu
    Year: 2023
    Design of Intelligent Education Management Information System in Colleges and Universities from the Perspective of Big Data
    ELEOT
    Springer
    DOI: 10.1007/978-3-031-21161-4_26
Haiyan Zhao1,*, Shiyuan Liu1, Lin Xiao1, Kun Liu1, Fuxia Liu2
  • 1: Beijing Union University
  • 2: Scientific Research Department, Hebei Open University
*Contact email: dwew562333@163.com

Abstract

There are many internal data types in the education management information system, which leads to the poor management effect of the intelligent education management information system in colleges and universities. Design an intelligent education management information system in Colleges and universities from the perspective of big data. The hardware part of the system focuses on the design of DSP module, FPGA module, analog-to-digital conversion module, A/D conversion module interface circuit and communication interface. In the system software part, the big data technology is used to divide and allocate data sets, so as to realize the design of intelligent education management information system in colleges and universities. Experimental results show that the proposed intelligent education management information system can effectively improve the accuracy and efficiency of resource mining, and has a good effect.

Keywords
Big data horizon Education management information Excavate Transformation Clustering Match
Published
2023-03-09
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-21161-4_26
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