Collaboration quality, information quality, and user satisfaction predict e-learning use¶

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2018 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Collaboration quality positively influences use of e-learning systems (β=0.370, p<0.001). → Cidral 2018 q2 i? Information quality positively influences use (β=0.189, p<0.050). → Cidral 2018 q2 i? User perceived satisfaction positively influences use (β=0.150, p<0.010). → Cidral 2018

Evidence¶

Cidral 2018¶

Cidral, W. A., Oliveira, T., Di Felice, M. & Aparicio, M. (2018). E-learning success determinants: Brazilian empirical study. Computers and Education, 122, 273-290. https://doi.org/10.1016/j.compedu.2017.12.001

q2 · i? · associational · r2

Survey of 301 valid responses from Brazilian higher education students analyzed with PLS structural equation modeling using 5,000 bootstrap resamples; the model "explains 32.2% of the e-learning use variation" with the three significant paths reported.

"The model explains 32.2% of the e-learning use variation. Collaboration quality (β=0.370; p<0.001), information quality (β=0.189; p<0.050), and user perceived satisfaction (β=0.150; p<0.010) are statistically significant."

Discussion¶

Related Claims¶

• The integrated model explains 57.1% of satisfaction, 32.2% of use, and 52.5% of individual impact variance — related
• System quality, use, and user satisfaction explain individual impact of e-learning — related
• Service quality shows no significant effect on use, satisfaction, or individual impact in this sample — related
• Information quality, system quality, instructor attitude, assessment diversity, and learner interaction predict satisfaction — related