Predicting and Explaining the Acceptance of Social Video Platforms for Learning: The Case of Brazilian YouTube Users
作者： Patricio Ramírez-Correa , Ari Mariano-Melo , Jorge Alfaro-Pérez , None
DOI: 10.3390/SU11247115
关键词: Hedonic motivation 、 E-learning (theory) 、 Perception 、 Developing country 、 Social influence 、 Research model 、 Data science 、 Computer science
摘要: This study aims to predict and explain the acceptance of social video platforms for learning. A research model is proposed that explains intention using these based on perception performance, influence, hedonic motivation. To validate model, 568 Brazilian YouTube users were surveyed. The data analyzed with partial least squares structural equations modeling (PLS-SEM). In particular, predictive power was assessed PLSpredict procedure. results this can help understand forecast use learning in developing countries.
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