Uncovering the Structure of Knowledge Exchange in a MOOC Discussion Forum

被引：8
|
作者：
Hecking, Tobias [1 ]
Hoppe, H. Ulrich [1 ]
Harrer, Andreas [2 ]
机构：
[1] Univ Duisburg Essen, Dept Comp Sci & Appl Cognit Sci, Duisburg, Germany
[2] Tech Univ Clausthal, Inst Comp Sci, Clausthal Zellerfeld, Germany
来源：
PROCEEDINGS OF THE 2015 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2015) | 2015年
关键词：
Expertise Networks; Role Analysis; Discussion Forums;
D O I：
10.1145/2808797.2809359
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This work explores methods to investigate the structure of knowledge exchange in discussion forums in massive open online courses (MOOCs) explicitly taking into account changing patterns over time. Various aspects of forum analysis combining different approaches are exemplified with a case of forum discussions from a Coursera MOOC.
引用
收藏
页码：1614 / 1615
页数：2
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