An Exploration of Social Network Analysis on Cohesion in Online Collaborative Learning

被引：0

作者：

Wang, Yonggu ^{[1
]}

Li, Xiaojuan ^{[2
]}

机构：

[1] Zhejiang Univ Technol, Coll Educ Sci & Technol, Hangzhou, Zhejiang, Peoples R China

[2] Zhejiang Univ Finance & Econom, Coll Humanity, Hangzhou, Zhejiang, Peoples R China

来源：

2008 IEEE INTERNATIONAL SYMPOSIUM ON IT IN MEDICINE AND EDUCATION, VOLS 1 AND 2, PROCEEDINGS | 2008年

关键词：

D O I：

10.1109/ITME.2008.4743858

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

Cohesion is one of key factors influencing the performance of collaborative learning. But it is hart to reckon and assess it in online collaborative learning environments. Social network analysis (SNA) is a new method and technique analyzing the properties of the interaction relations between participants. In this paper, we introduced the related key concepts in SNA, and presented an analysis model which can analyze the cohesion of groups effectively and precisely, and then showed a case study which was from a quasi-experiment in our instruction practice, lastly, drew several useful principles on reckoning cohesion in online collaborative learning by SNA.

引用

页码：224 / +

页数：2

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