An analysis of cognitive learning context in MOOC forum messages

Jian Syuan Wong, Bart Pursel, Anna Divinsky, Bernard J. Jansen

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

3 Scopus citations

Abstract

In this research, we analyze a large number of discussions of forum messages from three MOOC courses using a keyword taxonomy approach to identify learning processes occurring among the students. We conduct analysis on more than 100,000 forum messages from 14,647 forum threads from three MOOCs, with a combined 200,000+ enrollment. We map messages to six levels of Bloom's Taxonomy for cognitive learning. The results of this research indicate that learning processes of particular cognitive learning levels could be observed within discussions on MOOC forums. Results imply that different types of forum communications have features associated to particular learning levels, and the volume of higher levels of cognitive learning domains increase as the course progresses.

Original languageEnglish (US)
Title of host publicationCHI EA 2016
Subtitle of host publication#chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
Pages1315-1321
Number of pages7
ISBN (Electronic)9781450340823
DOIs
StatePublished - May 7 2016
Event34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016 - San Jose, United States
Duration: May 7 2016May 12 2016

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
Volume07-12-May-2016

Other

Other34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016
CountryUnited States
CitySan Jose
Period5/7/165/12/16

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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    Wong, J. S., Pursel, B., Divinsky, A., & Jansen, B. J. (2016). An analysis of cognitive learning context in MOOC forum messages. In CHI EA 2016: #chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems (pp. 1315-1321). (Conference on Human Factors in Computing Systems - Proceedings; Vol. 07-12-May-2016). Association for Computing Machinery. https://doi.org/10.1145/2851581.2892324