Faculty Publications
Developing A Comprehensive Mixed Methods Evaluation To Address Contextual Complexities Of A Mooc
Document Type
Article
Keywords
complexity, integration, logic model, massive open online course, mixed methods evaluation
Journal/Book/Conference Title
Canadian Journal of Program Evaluation
Volume
36
Issue
3
First Page
316
Last Page
335
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 Publication Date
1-1-2022
DOI of published version
10.3138/cjpe.71203
Recommended Citation
Musoke, Pamela; Papadimitriou, Antigoni; Shannon-Baker, Peggy; and Tajima, Chihiro, "Developing A Comprehensive Mixed Methods Evaluation To Address Contextual Complexities Of A Mooc" (2022). Faculty Publications. 5260.
https://scholarworks.uni.edu/facpub/5260