Developing a Comprehensive Mixed Methods Evaluation to Address Contextual Complexities of a MOOC

Pamela Musoke, Antigoni Papadimitriou, Peggy Shannon-Baker, Chihiro Tajima

Research output: Contribution to journalSystematic reviewpeer-review

1 Scopus citations

Abstract

Massive open online courses (MOOCs) are gaining popularity, yet they are rarely evaluated using mixed methods that consider the complexity of participants' demographics, geographic spread, and MOOC design and curricula. In this article, we critically refect on evaluating the Mixed Methods International Research Association (MMIRA) MOOC. A literature review on MOOCs and how they are evaluated is presented along with a logic model. Afer a description of the MMIRA MOOC and the multi-phase mixed methods evaluation design, the logic model is used to refect on conducting a mixed methods evaluation. We conclude with the challenges experienced when evaluating amidst a MOOC's complexities.

Original languageEnglish
Pages (from-to)316-335
Number of pages20
JournalCanadian Journal of Program Evaluation
Volume36
Issue number3
DOIs
StatePublished - 2022

Scopus Subject Areas

  • Library and Information Sciences

Keywords

  • complexity
  • integration
  • logic model
  • massive open online course
  • mixed methods evaluation

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