Are Highly Motivated Learners More Likely to Complete a Computer Programming MOOC?

نویسندگان

چکیده

Computer programming MOOCs attract people who have different motivations. Previous studies hypothesized that the motivation declared before starting course can be an important predictor of distinctive dropout rates. The aim this study was to outline main clusters participants in a computer MOOC, and compare how these differed terms intention complete actual completion rate. sample consisted 1,181 respondents pre-course questionnaire Introduction Programming MOOC. A validated scale, based on expectancy-value theory k-means cluster analysis, used form groups. four identified were named as Opportunity motivated (27.7%), Over-motivated (28.6%), Success (19.6%) Interest (24.0%). Comparison tests chi-square test describe differences among clusters. There statistically significant self-evaluated probability completion. Also, emerged three percentages completed Interestingly, rate lowest cluster. higher ratio completers non-completers found motivated, Our findings useful for MOOC instructors, better vision participants’ motivational profiles at beginning might help inform design support needs, potentially resulting lower

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ژورنال

عنوان ژورنال: The International Review of Research in Open and Distributed Learning

سال: 2021

ISSN: ['1492-3831']

DOI: https://doi.org/10.19173/irrodl.v22i1.4978