基于大数据驱动的研究生培养过程质量监测预警研究  

Based on Large Data Driven Process Quality Monitoring and Early Warning Research of Graduate Student Training

作　　者：何晓聪[1] HE Xiao-cong(Graduate of Guangdong University of Finance and Economics,Guangzhou,Guangdong 510320,China)

机构地区：[1]广东财经大学研究生处,广东广州510320

出　　处：《教育教学论坛》2018年第37期64-65,共2页Education And Teaching Forum

基　　金：中国学位与研究生教育学会研究项目"大数据驱动的研究生培养过程质量监测预警机制研究"(2015Y0414)

摘　　要：运用大数据思维和技术对研究生培养过程质量进行监测预警,是建设研究生质量内部保障体系的有效手段。本文通过关联规则挖掘,揭示了研究生入学成绩与课业表现、前置学历毕业院校、图书借阅情况与学位论文成绩之间的关系,证明了通过分析研究生培养过程中产生的各种数据,可以为我们勾勒出研究生个体在学期间已有的学习轨迹,并预测其接下来的学业表现。The use of big data thinking and technology to monitor the quality of postgraduate training process is aneffective means to construct the internal guarantee system of postgraduate quality.Through association rule mining,thispaper reveals the postgraduate entrance scores and academic performance,the degree of prerequisite of colleges anduniversities,the book lending situation and the relationship between the dissertation result,proved by analyzing theprocess of graduate education,all kinds of data,we can make the outline of the graduate student individual learningexisting during the learning path,and predicted its next academic performance.

关 键 词：大数据 研究生培养 质量监测 质量预警 

分 类 号：G643[文化科学—高等教育学]