Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15–17, 2023, Nanjing, China

Research Article

Research on Visualization System of Student Behavior Analysis Based on Campus Big Data

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  • @INPROCEEDINGS{10.4108/eai.15-12-2023.2345331,
        author={Li  Xu},
        title={Research on Visualization System of Student Behavior Analysis Based on Campus Big Data},
        proceedings={Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15--17, 2023, Nanjing, China},
        publisher={EAI},
        proceedings_a={PMBDA},
        year={2024},
        month={5},
        keywords={campus big data; analysis of students' behavior; visualization system; early warning system},
        doi={10.4108/eai.15-12-2023.2345331}
    }
    
  • Li Xu
    Year: 2024
    Research on Visualization System of Student Behavior Analysis Based on Campus Big Data
    PMBDA
    EAI
    DOI: 10.4108/eai.15-12-2023.2345331
Li Xu1,*
  • 1: Wuhan Business University
*Contact email: xuli882@163.com

Abstract

This study aims to design and implement a visualization system for student behavior analysis based on campus big data, in order to provide a deep understanding of student behavior patterns. The article designs a student behavior analysis visualization system, which collects relevant information such as student grades, attendance, and book borrowing, conducts data analysis and mining, presents it with visualization tools, and constructs a warning management platform. Practice has proven that this visualization system can accurately analyze the learning situation, intelligently analyze and warn students of violations and disciplinary violations, providing reliable reference for student behavior management, and has high feasibility and reliability.