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Building an economically sustainable online learning ecosystem with freemium model: A sequential mixed-method approach.
- Source :
- Education & Information Technologies; 2024, Vol. 29 Issue 10, p12347-12375, 29p
- Publication Year :
- 2024
-
Abstract
- Online learning communities play a crucial role in delivering high-quality courses to a large number of learners. However, to maintain an economically sustainable and constantly evolving online learning ecosystem, it is essential to create a virtuous cycle from knowledge production to knowledge consumption by charging learners to incentivize course providers and to build and maintain online learning systems. This study examines online learners' willingness to pay for high-quality online courses and develops the FSEP model (Flow-Satisfaction-Expectancy-Purchasing). The model is based on the assumption that learners who have a good experience with a free course are more likely to purchase the paid version. The study employs an explanatory sequential mixed-method design. The quantitative results demonstrate that online learners' flow experience and satisfaction with the free course directly affect their expectations for paid courses, which in turn increase their intention to purchase. In particular, three full mediation effects clearly reveal the importance of the psychological paths identified in this study. The subsequent qualitative results further validate each hypothesis proposed in the FSEP model. This research advances our understanding of economically sustainable online learning ecosystems and also adds to existing knowledge of digital economies and the freemium model. [ABSTRACT FROM AUTHOR]
- Subjects :
- ONLINE education
ECOSYSTEMS
MIXED methods research
EDUCATION
PSYCHOLOGY
Subjects
Details
- Language :
- English
- ISSN :
- 13602357
- Volume :
- 29
- Issue :
- 10
- Database :
- Complementary Index
- Journal :
- Education & Information Technologies
- Publication Type :
- Academic Journal
- Accession number :
- 178777164
- Full Text :
- https://doi.org/10.1007/s10639-023-12347-7