Proceedings of the 3rd International Conference on New Media Development and Modernized Education, NMDME 2023, October 13–15, 2023, Xi’an, China

Research Article

Analysis of Student Learning Behavior Portrait Based on Big Data Technology

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  • @INPROCEEDINGS{10.4108/eai.13-10-2023.2341278,
        author={Yajuan  Zhang and Ru  Jing and Liyun  Lan},
        title={Analysis of Student Learning Behavior Portrait Based on Big Data Technology},
        proceedings={Proceedings of the 3rd International Conference on New Media Development and Modernized Education, NMDME 2023, October 13--15, 2023, Xi’an, China},
        publisher={EAI},
        proceedings_a={NMDME},
        year={2024},
        month={1},
        keywords={student learning behavior big data technology data analysis},
        doi={10.4108/eai.13-10-2023.2341278}
    }
    
  • Yajuan Zhang
    Ru Jing
    Liyun Lan
    Year: 2024
    Analysis of Student Learning Behavior Portrait Based on Big Data Technology
    NMDME
    EAI
    DOI: 10.4108/eai.13-10-2023.2341278
Yajuan Zhang1, Ru Jing1,*, Liyun Lan1
  • 1: Hainan Vocational University of Science and Technology
*Contact email: rufeng121@163.com

Abstract

The integration of big data technology into education has opened new horizons for the analysis of student learning behavior. This paper embarks on an exploration of student learning behavior portraits, driven by the rich tapestry of data that contemporary educational environments generate. The study delves into historical perspectives, contemporary challenges, and the transformative impact of big data technology in education. It reviews previous research endeavors and elucidates key concepts and terminology pertinent to the analysis. The paper concludes with practical implications for educators, institutional strategies, and policymaking, emphasizing personalized learning and data-driven decision-making. This research underscores the transformative potential of big data technology in education, advocating for a future where student-centered learning is guided by data-driven insights.