Predicting and Explaining the Acceptance of Social Video Platforms for Learning: The Case of Brazilian YouTube Users

Ramirez-Correa, P; Mariano-Melo, A; Alfaro-Perez, J

Keywords: brazil, e-learning, social video platform, PLSpredict

Abstract

This study aims to predict and explain the acceptance of social video platforms for learning. A research model is proposed that explains that the intention of using these platforms is based on the perception of performance, social influence, and hedonic motivation. To validate the model, 568 Brazilian YouTube users were surveyed. The data were analyzed with partial least squares structural equations modeling (PLS-SEM). In particular, the predictive power of the model was assessed using the PLSpredict procedure. The results of this study can help to understand and forecast the use of these platforms for learning in developing countries.

Más información

Título según WOS: Predicting and Explaining the Acceptance of Social Video Platforms for Learning: The Case of Brazilian YouTube Users
Título de la Revista: SUSTAINABILITY
Volumen: 11
Número: 24
Editorial: MDPI
Fecha de publicación: 2019
Idioma: English
DOI:

10.3390/su11247115

Notas: ISI