Towards smart asynchronous discussion activity: Using social network analysis to investigate students’ discussion patterns

Jeonghyun Kim, Hyeyun Lee, Yesom Yoo, Hanall Sung, Il Hyun Jo, Yeonjeong Park

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This study analyzed students’ interaction patterns in asynchronous online discussion forums by using log files left in the LMS. By taking Social Network Analysis (SNA) and Learning Analytics (LA) approaches, the centrality of participants, their networking patterns, characteristics of networks including multiple topics, and pattern changes over time were reviewed within a case study. Additionally, this study found that instructor initiation and student autonomy to select topics, together with the use of sample essays influenced online discussion patterns, which was effectively illustrated by the SNA results. Finally, this study discussed that the use of SNA not only as an analytics tool but also as a presentation tool to display the outputs can facilitate smart and effective discussion activity.

Original languageEnglish
Pages (from-to)361-370
Number of pages10
JournalLecture Notes in Educational Technology
Issue number9783662441879
DOIs
StatePublished - 2015

Keywords

  • Asynchronous online discussion
  • Learning
  • Learning analytics
  • Management system
  • Social network analysis

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