Challenges to assessing motivation in MOOC learners: An application of an argument-based approach
|Event Date:||February 21, 2020|
|Authors:||Kerrie Douglas, Hillary Merzdorf, Nathan Hicks, Muhammad Ihsanujlhaq Sarfraz, Peter Bermel|
|Journal:||Computers & Education International Journal
|Categories:||Validation; Motivation; Assessment; MOOC|
The EVC motivation scale was administered to learners in three advanced engineering MOOCs, and event log data was collected from the online learning platform. The EVC items were comprehensively examined (n = 661) through factor analysis, item response theory, and linear regression. Results indicated that the instrument retained a three-factor structure as well as strict and structural invariance across age groups and education levels, but the Expectancy and Value items suffered from significant ceiling effects, a key difficulty in assessing motivation using this approach. As part of a regression model with learners' intentions, EVC scores did not account for a significant amount of variance in learners' assessment outcomes and course behavior. Challenges remain for adjusting to learners' high expectancy and value of courses at the beginning, and for fully understanding how scores relate to learner behavior.
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