TY - JOUR
T1 - E-learning success determinants
T2 - Brazilian empirical study
AU - Cidral, Wilmar Audye
AU - Oliveira, Tiago
AU - Felice, Massimo Di
AU - Aparicio, Manuela
N1 - Cidral, W. A., Oliveira, T., Felice, M. D., & Aparicio, M. (2018). E-learning success determinants: Brazilian empirical study. Computers and Education, 122, 273-299. DOI: 10.1016/j.compedu.2017.12.001
PY - 2018
Y1 - 2018
N2 - 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.
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.
KW - E-learning success
KW - Education
KW - Individual performance
KW - Online learning
KW - Satisfaction
KW - Use
UR - http://www.scopus.com/inward/record.url?scp=85039554232&partnerID=8YFLogxK
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000432512400021
U2 - 10.1016/j.compedu.2017.12.001
DO - 10.1016/j.compedu.2017.12.001
M3 - Article
AN - SCOPUS:85039554232
SN - 0360-1315
VL - 122
SP - 273
EP - 299
JO - Computers and Education
JF - Computers and Education
ER -