Empirical Research on the Relationship Between Teaching and Scientific Research Based on Educational Big Data in China

被引：1

作者：

Li, Yuyao ^{[1
,2
,3
]}

Fu, Hailin ^{[1
]}

Tang, Yong ^{[1
]}

Fu, Chengzhou ^{[1
]}

机构：

[1] South China Normal Univ, Sch Comp Sci, Guangzhou 510631, Guangdong, Peoples R China

[2] Univ Foreign Studies, Collaborat Innovat Ctr 21st Century Maritime Silk, Guangzhou 510420, Guangdong, Peoples R China

[3] Univ Foreign Studies, Sch Informat Sci & Technol Guangdong, Guangzhou 510006, Guangdong, Peoples R China

来源：

COMPUTER SUPPORTED COOPERATIVE WORK AND SOCIAL COMPUTING, CHINESECSCW 2019 | 2019年 / 1042卷

关键词：

University teacher behavior model; Teaching and scientific research relationship; SCHOLAT; Educational big data; User behavior modeling; Association rule mining; User portrait;

D O I：

10.1007/978-981-15-1377-0_30

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The traditional empirical researches on the relationship between teaching and scientific research has been trapped in a dilemma in which lots of conflicting findings coexist because teachers' work performances are used as the main source of research data. Based on the big data, this paper proposes different research hypothesis from the traditional researches, takes the detailed data of teacher's teaching and scientific research behavior recorded in the educational big data system as the research object, adopts the user portrait method to extract the teacher's teaching and scientific research behavior characteristics, and takes association rule mining algorithm to calculate the correlation between teacher's teaching and scientific research behavior. The experimental results effectively support the research hypothesis proposed in this paper, and can effectively present the real relationship between teaching and scientific research.

引用

页码：390 / 398

页数：9

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