Research on Student Behavior Early Warning and Management Strategy based on Big Data Analysis
Abstract
In the era of rapid educational informatization, big data technology offers a new perspective and powerful tools for analyzing and
managing student behavior. This paper focuses on the research of student behavior early warning and management strategies based on big data
analysis, examining the shortcomings of traditional student management models and exploring the significance of applying big data technology to student behavior analysis. By analyzing multi-dimensional data such as classroom attendance, learning progress, personalized learning
paths, extracurricular activities, and mental health, a scientific early warning mechanism and management strategy are constructed. The aim
is to enhance school management efficiency, promote students personalized development, and support the modernization of education.
managing student behavior. This paper focuses on the research of student behavior early warning and management strategies based on big data
analysis, examining the shortcomings of traditional student management models and exploring the significance of applying big data technology to student behavior analysis. By analyzing multi-dimensional data such as classroom attendance, learning progress, personalized learning
paths, extracurricular activities, and mental health, a scientific early warning mechanism and management strategy are constructed. The aim
is to enhance school management efficiency, promote students personalized development, and support the modernization of education.
Keywords
Big Data Analysis; Student Behavior; Early Warning Mechanism; Management Strategy
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PDFReferences
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DOI: http://dx.doi.org/10.70711/eer.v2i10.7206
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