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.
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Acknowledgements
Supported by the Fundamental Research Funds for the Central Universities (No. CCNU18TS017).
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Liu, H., Jiao, N. (2020). Research on Students’ Campus Behavior Analysis and Warning System Based on Big Data. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1075. Springer, Cham. https://doi.org/10.1007/978-3-030-32591-6_42
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DOI: https://doi.org/10.1007/978-3-030-32591-6_42
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