Analyzing the students’ behavior and relevant topics in virtual learning communities

作者：

Highlights：

• Analysis of the students’ behavior in an on-line learning community.

• Study of the dynamics of relevant topics in on-line asynchronous discussion forums.

• Proposal of a set of algorithms to characterize the most relevant topics and subtopics.

• Analysis with the proposed algorithms of the forum discussions during two academic years.

• Automated characterization of relevant topics and subtopics.

摘要

•Analysis of the students’ behavior in an on-line learning community.•Study of the dynamics of relevant topics in on-line asynchronous discussion forums.•Proposal of a set of algorithms to characterize the most relevant topics and subtopics.•Analysis with the proposed algorithms of the forum discussions during two academic years.•Automated characterization of relevant topics and subtopics.

论文关键词：Learning analytics,Students’ behavior,Topic characterization,Virtual communities

论文评审过程：Available online 22 October 2013.

论文官网地址：https://doi.org/10.1016/j.chb.2013.10.001