A Social Network Analysis of Online Collaborative Learning Aspects in an Online Course

被引：4

作者：

Hu, Yong ^{[1
]}

Zhao, Fengmei ^{[2
]}

机构：

[1] Tianjin Univ Technol & Educ, Sch Informat Technol Engn, Tianjin, Peoples R China

[2] Tianjin Univ Technol & Educ, Online Course Resource Dept Lib, Tianjin, Peoples R China

来源：

2016 INTERNATIONAL SYMPOSIUM ON EDUCATIONAL TECHNOLOGY (ISET) | 2016年

关键词：

social network analysis; power analysis; cohesive subgroup analysis; role analysis;

D O I：

10.1109/ISET.2016.30

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Online Collaborative Learning is typically developed and maintained through participants' social interaction. For this purpose, this paper chose density, concentration, cohesion subgroup and other network indices to analyze the interaction network characteristics. It was showed interaction density was not high, and the teacher had greater influence on group participation. There are, however, substantial differences in the participants' activities. The results also indicated that power distributions were uneven, and the participants tended to interact frequently with some core participants. The study also revealed that participants had different social roles.

引用

页码：3 / 7

页数：5