Exploring Online Course Sociograms Using Cohesion Network Analysis

Maria-Dorinela Sirbu, Mihai Dascalu, Scott A. Crossley, Danielle S. McNamara, T. Barnes, C.F. Lynch, Stefan Trausan-Matu

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Abstract

Massive Open Online Courses (MOOCs) have become an important platform for teaching and learning because of their ability to deliver educational accessibility across time and distance. Online learning environments have also provided new research opportunities to examine learning success at a large scale. One data tool that has been proven effective in exploring student success in online courses has been Cohesion Network Analysis (CNA), which offers the ability to analyze discourse structure in collaborative learning environments and facilitate the identification of learner interaction patterns. These patterns can be used to predict students’ behaviors such as dropout rates and performance. The focus of the current paper is to identify sociograms (i.e., interaction graphs among participants) generated through CNA on course forum discussions and to
identify temporal trends among students. Here, we introduce extended CNA visualizations available in the ReaderBench framework. These visualizations can be used to convey information about interactions between participants in online forums, as well as corresponding student clusters within specific timeframes.
Original languageEnglish
Title of host publicationArtificial Intelligence in Education
Subtitle of host publication19th International Conference, AIED 2018, London, UK, June 27-30, 2018, Proceedings, Part II
EditorsC.P. Rosé, R. Martínez-Maldonado, U. Hoppe, R. Luckin, M. Mavrikis, K. Porayska-Pomsta, B. McLaren, B. d. Boulay
Place of PublicationCham
PublisherSpringer
Pages337–342
Number of pages6
VolumePart II
ISBN (Electronic)9783319938462
ISBN (Print)9783319938455
DOIs
Publication statusPublished - 2018
Externally publishedYes
EventInternational Conference, AIED 2018 - London, United Kingdom
Duration: 27 Jun 201830 Jun 2018
https://aied2018.utscic.edu.au/

Publication series

SeriesLecture Notes in Computer Science
Volume10948

Conference

ConferenceInternational Conference, AIED 2018
Abbreviated titleAIED 2018
CountryUnited Kingdom
CityLondon
Period27/06/1830/06/18
Internet address

Keywords

  • Cohesion Network Analysis
  • Online courses
  • Sociograms
  • Participants clustering
  • Interaction patterns

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