Inferring students' sense of community from their communication behavior in online courses

Wen Wu, Li CHEN, Qingchang Yang

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Sense of community is regarded as the reection of students' feelings of connectedness with community members and commonality of learning expectations and goals. In online courses, sense of community has been proven to inuence students' learning engagement and academic performance. Low sense of community is also one of the reasons for drop out. However, existing studies mainly acquire students' sense of community via questionnaires, which demand user efforts and have difficulty in obtaining real-Time feeling during students' learning process. In addition, although communication is helpful to enhance students' sense of community, little work has empirically compared the impact of different online communication tools. In this paper, we are motivated to derive students' sense of community from their communication behavior in online courses. Concretely, we first identify a set of features that are significantly correlated with students' sense of community, which not only include their activities carried out in both synchronous and asynchronous online learning environment, but also their linguistic content in conversational texts. We then develop inference model to unify these features for determining students' sense of community, and find that LASSO performs the best in terms of inference accuracy.

Original languageEnglish
Title of host publicationUMAP 2017 - Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization
PublisherAssociation for Computing Machinery, Inc
Pages238-246
Number of pages9
ISBN (Electronic)9781450346351
DOIs
Publication statusPublished - 9 Jul 2017
Event25th ACM International Conference on User Modeling, Adaptation, and Personalization, UMAP 2017 - Bratislava, Slovakia
Duration: 9 Jul 201712 Jul 2017

Publication series

NameUMAP 2017 - Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization

Conference

Conference25th ACM International Conference on User Modeling, Adaptation, and Personalization, UMAP 2017
Country/TerritorySlovakia
CityBratislava
Period9/07/1712/07/17

Scopus Subject Areas

  • Software

User-Defined Keywords

  • Online learning
  • Prediction
  • Sense of community
  • Synchronous/ asynchronous communication

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