Research on the Comprehensive Quality Evaluation System of Graduate Students Based on Big Data
This paper studies the evaluation indicators of diversified comprehensive qualities of graduate students based on big data analysis.Using analytic hierarchy process to calculate the weights of various indicators.Using the fuzzy comprehensive evaluation method to evaluate the comprehensive quality of graduate students and fuzzily quantify various indicators.Using visualization technology to analyze the growth curve of students.Utilize big data technology to classify and predict students on campus,generate evaluation feedback reports,establish warning mechanisms,and ensure the coordinated development of student training and school education.
big datacomprehensive quality evaluationgraduate studentsdata analysis
NETL
NSTL
万方数据
