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Cidral, W. A., Oliveira, T., Di Felice, M. & Aparicio, M. (2018). E-learning success determinants: Brazilian empirical study. Computers and Education. 122, 273-290
W. A. Cidral et al., "E-learning success determinants: Brazilian empirical study", in Computers and Education, vol. 122, pp. 273-290, 2018
@article{cidral2018_1724526614977, author = "Cidral, W. A. and Oliveira, T. and Di Felice, M. and Aparicio, M.", title = "E-learning success determinants: Brazilian empirical study", journal = "Computers and Education", year = "2018", volume = "122", number = "", doi = "10.1016/j.compedu.2017.12.001", pages = "273-290", url = "https://www.sciencedirect.com/science/article/pii/S0360131517302580?via%3Dihub" }
TY - JOUR TI - E-learning success determinants: Brazilian empirical study T2 - Computers and Education VL - 122 AU - Cidral, W. A. AU - Oliveira, T. AU - Di Felice, M. AU - Aparicio, M. PY - 2018 SP - 273-290 SN - 0360-1315 DO - 10.1016/j.compedu.2017.12.001 UR - https://www.sciencedirect.com/science/article/pii/S0360131517302580?via%3Dihub AB - E-learning is a web-based learning ecosystem for the dissemination of information, communication, and knowledge for education and training. Understanding the impact of e-learning on society, as well as its benefits, is important to link e-learning systems to their success drivers. The aim of this study is to find the determinants of user perceived satisfaction, use, and individual impact of e-learning. This study proposes a theoretical model integrating theories of information systems' satisfaction and success in the e-learning systems. The model was empirically validated in higher education institutions and university centers in Brazil through a quantitative method of structural equation modeling. Collaboration quality, information quality, and user perceived satisfaction explain e-learning use. The drivers of user perceived satisfaction are information quality, system quality, instructor attitude toward e-learning, diversity in assessment, and learner perceived interaction with others. System quality, use, and user perceived satisfaction explain individual impact. ER -