Content analysis of MOOC forums: The characteristics of the learners' discourse in forums

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

Abstract

Considering the importance of social and collaborative learning, this research aims to explore the characteristics of the discourse in forums in order to have insight into learners' needs and interests in massive open online courses. This will help in developing an instructional strategy that will increase the learners' participation in forums, and their involvement in the creation of knowledge; consequently, improving learning processes. An innovative approach was taken in this study, using the Natural Language Processing (NLP) tool and Henri's content analysis model in order to analyze the learners' discourse in forums and identify their types of interactions. We hope that this approach will lead to additional understanding and shed light on the ability to create effective online learning communities, through the learners' behavior.

Original languageEnglish
Title of host publication2017 Intelligent Systems Conference, IntelliSys 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages893-897
Number of pages5
ISBN (Electronic)9781509064359
DOIs
StatePublished - 23 Mar 2018
Event2017 Intelligent Systems Conference, IntelliSys 2017 - London, United Kingdom
Duration: 7 Sep 20178 Sep 2017

Publication series

Name2017 Intelligent Systems Conference, IntelliSys 2017
Volume2018-January

Conference

Conference2017 Intelligent Systems Conference, IntelliSys 2017
Country/TerritoryUnited Kingdom
CityLondon
Period7/09/178/09/17

Keywords

  • Natural Language Processing (NLP)
  • collaborative learning
  • content analysis
  • e-learning
  • forums
  • social learning

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