Topic models to support instructors in MOOC forums

Jovita M. Vytasek, Alyssa F. Wise, Sonya Woloshen

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper explores the potential of using naïve topic modeling to support instructors in navigating MOOC discussion forums. Categorizing discussion threads into topics can provide an overview of the discussion, improve navigation of the forum, and support replying to a representative sample of content related posts. We investigate four different approaches to using topic models to organize and present discussion posts, highlighting the strength and weaknesses of each approach to support instructors.

Original languageEnglish (US)
Title of host publicationLAK 2017 Conference Proceedings - 7th International Learning Analytics and Knowledge Conference
Subtitle of host publicationUnderstanding, Informing and Improving Learning with Data
PublisherAssociation for Computing Machinery
Number of pages2
ISBN (Electronic)9781450348706
StatePublished - Mar 13 2017
Event7th International Conference on Learning Analytics and Knowledge, LAK 2017 - Vancouver, Canada
Duration: Mar 13 2017Mar 17 2017

Publication series

NameACM International Conference Proceeding Series


Other7th International Conference on Learning Analytics and Knowledge, LAK 2017


  • Discussion forums
  • MOOC
  • Topic modeling

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


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