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Research on Students’ Campus Behavior Analysis and Warning System Based on Big Data

  • Huayong LiuEmail author
  • Nianlai Jiao
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1075)

Abstract

Big data is one of the popular concepts and technologies today, which brings revolutionary influence to our work, life, study, and way of thinking. In order to change the traditional way in which student management relies on preaching and post-analysis to find countermeasures, it is transformed into a more targeted, personalized and predictive scientific management method. The paper analyzes the big data value of campus student behavior through the deep integration of student education management and information technology, and describe data acquisition methods of student campus behavior, analysis and prediction models and visualization models. The mainstream Hadoop open source platform is used to construct the student campus behavior data analysis and early warning management system, so as to realize the students safety control, achieve student management informationization, improve scientific management level of students’ education, and promote the intelligent and digital campus construction.

Keywords

Educational big data Student behavior analysis Prediction model Data mining 

Notes

Acknowledgements

Supported by the Fundamental Research Funds for the Central Universities (No. CCNU18TS017).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Central China Normal UniversityWuhanPeople’s Republic of China

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