基于大数据的研究生综合素质评价体系的研究  

Research on the Comprehensive Quality Evaluation System of Graduate Students Based on Big Data

作　　者：金丽娜 赵世轲 JIN Lina;ZHAO Shike(School of Artificial Intelligence and Software,Liaoning Petrochemical University,Fushun,Liaoning 113001,China)

机构地区：[1]辽宁石油化工大学人工智能与软件学院,辽宁抚顺113001

出　　处：《自动化应用》2024年第10期165-169,共5页Automation Application

基　　金：辽宁省教育科学十四五规划课题(JG22DB426)。

摘　　要：研究了基于大数据分析的研究生综合素质多元化的评价指标。运用层次分析法计算各项指标的权重;运用模糊综合评价法评价研究生的综合素质,对各项指标进行模糊量化;利用可视化技术分析得出学生的成长曲线;利用大数据技术对在校学生进行分类预测,生成评估反馈报告,建立预警机制,确保学生培养和学校教育协同发展。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.

关 键 词：大数据 综合素质评价 研究生 数据分析 

分 类 号：G434[文化科学—教育学]