Exploring predictors of success in Massive Open Online Courses (MOOC)
DOI:
https://doi.org/10.5944/ried.28.1.40195Keywords:
Massive Open Online Courses, social and emotional learning, stress, satisfaction, MOOCs, predictor variablesAbstract
Massive Open Online Courses (MOOC) play an important role in educational equity and lifelong learning, offering accessible education that is free from barriers such as time constraints or geographical limitations. Consequently, the number of MOOC enrollments is high, as is the rate at which students withdraw from the course. The typical completion rate is less than 10%, underscoring the necessity of identifying factors that precipitate early withdrawal. This research aims to determine the extent to which social and emotional competencies, perceived stress, expectations, and satisfaction predict MOOC completion. An ex post facto methodological design was employed, in which 416 students completed the Social and Emotional Learning Scal, the Sociodemographic Data Questionnaire, the Expectations Questionnaire, the Perceived Stress Scale, and the Satisfaction Questionnaire. Additionally, data on successful MOOC completion was collected from each participant. Subsequently, five models were constructed using binomial logistic regression analysis. While satisfaction was identified as the most robust predictor of course completion, social and emotional competencies, perceived stress, and expectations also demonstrated significant results. This study represents the only research to date that has explored the predictive ability of these variables, offering a novel perspective on predictors of MOOC success.
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