Social network analysis of interaction in online learning communities

被引：4
|
作者：
Wang, Yonggu [1 ,3 ]
Li, Xiaojuan [2 ]
机构：
[1] Zhejiang Univ Technol, Coll Educ Sci & Technol, Hangzhou, Peoples R China
[2] Zhejiang Univ Finance & Econom, Coll Human & Art, Hangzhou, Peoples R China
[3] South China Normal Univ, Coll Educ Informat Technol, Guangzhou, Peoples R China
来源：
7TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/ICALT.2007.228
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
How to optimize the high-value interaction between learners will become the next driver of efficient learning. Social network analysis provides meaningful and quantitative insights into the quality of knowledge construction process. This paper introduces why SNA can effectively assess the performance of knowledge building process. Then, five useful and efficient methods of assessment are presented in detail.
引用
收藏
页码：699 / +
页数：2
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