Analysing social presence in online discussions through network and text analytics

Vitor Rolim, Rafael Ferreira Leite De Mello, Vitomir Kovanovic, Dragan Gasevic

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

10 Citations (Scopus)


This paper presents an approach to studying relationships between students' social presence and course topics from transcripts of asynchronous discussions in online learning environments. Specifically, the paper uses topic modeling and epistemic network analysis to investigate how students' social presence is expressed across different course topics. Finally, we show how this method can be adopted to examine how students' social presence changed due to an instructional intervention. The results of this study and its implications are further discussed.

Original languageEnglish
Title of host publicationProceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019
EditorsMaiga Chang, Demetrios G Sampson, Ronghuai Huang, Alex Sandro Gomes, Nian-Shing Chen, Ig Ibert Bittencourt, Kinshuk , Diego Dermeval, Ibsen Mateus Bittencourt
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)9781728134857
ISBN (Print)9781728134864
Publication statusPublished - 2019
EventIEEE International Conference on Advanced Learning Technologies 2019 - Maceio, Brazil
Duration: 15 Jul 201918 Jul 2019
Conference number: 19th (Proceedings)


ConferenceIEEE International Conference on Advanced Learning Technologies 2019
Abbreviated titleICALT 2019
Internet address


  • Community of Inquiry
  • Distance Education
  • Epistemic Network Analysis
  • Natural Language Processing
  • Online Discussions
  • Social Presence
  • Topic Modelling

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