Analysis and Research on Student Behavior Model Based on Big data
The purpose of this study is to analyze and study the behavior model of college students based on Big data technology.By collecting various data such as e-card consumption,dormitory access control,course selection records,social media activities,and other factors that may affect student behavior,such as book borrowing and online login,a model related to college student behavior is constructed.The study uses methods such as statistics,machine learning,and data mining to process and analyze data,exploring key factors and potential trends in college student behavior.By establishing a predictive model,important indicators such as students'lone-liness,intimacy,and suspected poverty can be predicted,providing schools and teachers with more scientific and effective teaching guidance and personalized guidance.
NETL
NSTL
万方数据
