The Impact of Massive Open Online Courses (MOOCs) on Knowledge Management Using Integrated Innovation Diffusion Theory and the Technology Acceptance Model
MOOCs have grown in popularity in universities, but the agents that influence users’ acceptance of MOOCs are little understood. The large and open nature of MOOCs puts the student in charge of their own learning. As a result, it is critical to comprehend learner behavior. The research is conceptuall...
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Veröffentlicht in: | Education sciences 2023-06, Vol.13 (6), p.531 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | MOOCs have grown in popularity in universities, but the agents that influence users’ acceptance of MOOCs are little understood. The large and open nature of MOOCs puts the student in charge of their own learning. As a result, it is critical to comprehend learner behavior. The research is conceptually founded on the innovation diffusion theory (IDT), as well as knowledge management (KM) and the technological adoption paradigm (TAM). In theory, eight separate factors were discovered as contributing to perceived usefulness, as well as perceived ease of use toward attitude toward utilizing MOOC systems and MOOC use intention. A survey questionnaire based on the innovation diffusion theory (IDT), knowledge management (KM) components, and the technological acceptance model (TAM) was used to collect data from 284 university students who were randomly selected. SPSS and SEM-Amos were used for data analysis. The findings show that perceived technology fit, perceived enjoyment, perceived compatibility (PC), trialability (TR), observability (OB), perceived usefulness (PU), perceived ease of use (PEOU), and attitude towards using the system (MOOCs) are the most important predictors of university students’ continued intention to use MOOCs (MOOCs). Through attitudes toward utilizing systems, perceived utility and perceived ease of use have an indirect impact on sustained intention (MOOCs). Both effort-perceived utility and perceived ease of use impact knowledge application, knowledge access, perceived technology fit, perceived pleasure, perceived compatibility (PC), trialability (TR), and observability (OB). Perceived compatibility (PC) has no bearing on perceived ease of use, while perceived technological fit (PTF) has no bearing on perceived utility. The findings will aid researchers and practitioners in better understanding university students’ intentions to use MOOCs in the future. This study’s ramifications and shortcomings are also discussed. |
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ISSN: | 2227-7102 2227-7102 |
DOI: | 10.3390/educsci13060531 |