Perceived user satisfaction and intention to use massive open online courses (MOOCs)
Identificadores
URI: https://hdl.handle.net/10481/100071Metadata
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2021Referencia bibliográfica
Pozón-López, I., Higueras-Castillo, E., Muñoz-Leiva, F., & Liébana-Cabanillas, F. J. (2021). Perceived user satisfaction and intention to use massive open online courses (MOOCs). Journal of Computing in Higher Education, 33, 85-120.
Abstract
The aim of the present work is to contribute to the study of use intention for tech‑
nologies related to the increasingly popular massive open online courses (MOOCs).
Informed by a scientifc literature review, the work proposes a behavioral model to
explain use intention via various constructs. The results of the analysis verify the
efect of user perceived satisfaction and autonomous motivation as the strongest
predictors of use intention. The analysis also shows that perceived satisfaction is
afected by the quality of the course, its entertainment value and its usefulness. The
latter variable is also a major factor in explaining user emotions. The study provides
an original focus in the study of perceived satisfaction and MOOC use intention by
extending the models proposed in previous published literature in this emerging
feld.