This paper mainly introduces how to use big data technology to optimize the education and management in colleges and universities.In terms of research methodology,this study adopts a big data theoretical framework and focuses on students at vocational colleges to collect data,analyze and predict their behavioral data.By taking a specific group of college students as the object,this study uses empirical methods to explore the behavioral characteristics and predictive models of students,and analyzes the statistical features of their behavior to predict future trends.The study found that big data technology can effectively identify and predict the behavior patterns of college students,providing important support for the improvement of college management and the enhancement of students'learning outcomes.Comprehensive analysis has been conducted to build a precise students behavior profile,revealing the behavioral patterns and providing personalized educational support and decision-making support for the college.At the same time,the study also prospects to future research directions,including cross-domain data fusion,real-time data analysis and prediction,and personalized educational resource recommendation.
campus behavior portraitbig databehavior analysis of college studentspersonalized education
万方数据
维普
