A Classification of Barriers that Influence Intention Achievement in MOOCs

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Abstract

MOOC-learning can be challenging as barriers which prevent or hinder acting out MOOC-takers’ individual learning intentions may be encountered. The aim of this research was to elicit and to empirically classify barriers that influence this intention achievement in MOOCs. The best fit model of our factor-analytical approach resulted in 4 distinctive components; 1. Technical and online-learning related skills, 2. Social context, 3. Course design/expectations management, 4. Time, support and motivation. The main finding of our study is that the experienced barriers by MOOC-takers are predominantly non-MOOC related. This knowledge can be of value for MOOC-designers and providers. It may guide them in finding suitable re-design solutions or interventions to support MOOC-takers in their learning, even if it concerns non-MOOC related issues. Furthermore, it makes a valuable contribution to the expanding empirical research on MOOCs.

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Henderikx, M., Kreijns, K., & Kalz, M. (2018). A Classification of Barriers that Influence Intention Achievement in MOOCs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11082 LNCS, pp. 3–15). Springer Verlag. https://doi.org/10.1007/978-3-319-98572-5_1

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