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

IF 0.2 Q4 SOCIAL SCIENCES, INTERDISCIPLINARY Canadian Journal of Program Evaluation Pub Date : 2022-03-28 DOI:10.3138/cjpe.71203
Pamela Musoke, A. Papadimitriou, Peggy Shannon-Baker, C. Tajima
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引用次数: 0

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 refl ect 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. Aft er a description of the MMIRA MOOC and the multi-phase mixed methods evaluation design, the logic model is used to refl ect on conducting a mixed methods evaluation. We conclude with the challenges experienced when evaluating amidst a MOOC’s complexities.
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开发综合混合方法评估以解决MOOC的情境复杂性
大规模开放在线课程(MOOC)越来越受欢迎,但很少使用考虑参与者人口统计、地理分布以及MOOC设计和课程复杂性的混合方法对其进行评估。本文对国际混合方法研究协会(MMIRA)MOOC的评估进行了批判性反思。对MOOC及其评估方法进行了文献综述,并给出了一个逻辑模型。在描述MMIRA MOOC和多阶段混合方法评估设计之后,使用逻辑模型来反思进行混合方法评估。我们总结了在MOOC的复杂性中进行评估时遇到的挑战。
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来源期刊
Canadian Journal of Program Evaluation
Canadian Journal of Program Evaluation SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
1.60
自引率
25.00%
发文量
32
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