Analysing social presence in online discussions through network and text analytics
Date
2019
Authors
Rolim, V.
Ferreira Leite De Mello, R.
Kovanovic, V.
Gasevic, D.
Editors
Chang, M.
Sampson, D.G.
Huang, R.
Gomes, A.S.
Chen, N.S.
Bittencourt, I.I.
Kinshuk,
Dermeval, D.
Bittencourt, I.M.
Sampson, D.G.
Huang, R.
Gomes, A.S.
Chen, N.S.
Bittencourt, I.I.
Kinshuk,
Dermeval, D.
Bittencourt, I.M.
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019, 2019 / Chang, M., Sampson, D.G., Huang, R., Gomes, A.S., Chen, N.S., Bittencourt, I.I., Kinshuk, , Dermeval, D., Bittencourt, I.M. (ed./s), iss.8820871, pp.163-167
Statement of Responsibility
Conference Name
19th IEEE International Conference on Advanced Learning Technologies, ICALT 2019 (15 Jul 2019 - 18 Jul 2019 : Maceio, Brazil)
Abstract
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.
School/Discipline
Dissertation Note
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Copyright 2019 IEEE
Access Condition Notes: Accepted manuscript is available open access