1. Perceived user satisfaction and intention to use massive open online courses (MOOCs)
- Author
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Francisco Liébana-Cabanillas, Irma Pozón-López, Francisco Muñoz-Leiva, and Elena Higueras-Castillo
- Subjects
Value (ethics) ,Higher education ,business.industry ,media_common.quotation_subject ,05 social sciences ,Applied psychology ,Educational technology ,050301 education ,050801 communication & media studies ,Scientific literature ,Education ,Behavioral modeling ,Entertainment ,0508 media and communications ,Value judgment ,Quality (business) ,Psychology ,business ,0503 education ,media_common - Abstract
The aim of the present work is to contribute to the study of use intention for technologies related to the increasingly popular massive open online courses (MOOCs). Informed by a scientific literature review, the work proposes a behavioral model to explain use intention via various constructs. The results of the analysis verify the effect of user perceived satisfaction and autonomous motivation as the strongest predictors of use intention. The analysis also shows that perceived satisfaction is affected 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 field.
- Published
- 2020
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