The Influence of Self-regulation, Self-efficacy and Motivation as Predictors of Barriers to Satisfaction in MOOCs

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Abstract

This study focuses on identifying the barriers to satisfaction of MOOC participants, and the predictors of these barriers. Five hundred and forty-two English as a Second Language MOOC participants responded to pre- and post-questionnaires. Using exploratory factor analysis three kinds of barriers were identified, namely: ‘Lack of interestingness/relevance’, ‘Lack of time/bad planning’ and ‘Lack of knowledge/technical problem’. The effects of the participant’s age, gender and level of self-efficacy, motivation, self-regulation learning skills and the intention to complete the course were analyzed as predictors of those barriers. Theoretical and practical implications regarding online learner satisfaction are discussed.

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Rabin, E., Henderikx, M., Kalman, Y. M., & Kalz, M. (2019). The Influence of Self-regulation, Self-efficacy and Motivation as Predictors of Barriers to Satisfaction in MOOCs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11722 LNCS, pp. 631–635). Springer Verlag. https://doi.org/10.1007/978-3-030-29736-7_55

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