Information quality, system quality, instructor attitude, assessment diversity, and learner interaction predict satisfaction¶
Claim · All claims
Evidence · 1 study · associationalr2·q2
Currency · newest study 2018 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Information quality (β=0.368), system quality (β=0.189), instructor attitude (β=0.190), diversity in assessment (β=0.141), and learner perceived interaction with others (β=0.103) each positively influence user perceived satisfaction. → 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
PLS-SEM analysis of the 301-response Brazilian survey; the satisfaction model explains 57.1% of variation, with all five paths statistically significant as reported.
"The m odel explains 57.1% of the user perceived satisfaction variation. Information quality (β=0.368; p<0.001), system quality (β=0.189; p<0.050), instructor attitude toward e-learning (β=0.190; p<0.010), diversity in assessment (β=0.141; p<0.010), and learner perceived interaction with ot hers (β=0.103; p<0.050) 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
- Collaboration quality, information quality, and user satisfaction predict e-learning use — related
- Perceived usefulness significantly positively influences satisfaction, perceived impact on learning, and attitude towards CSCL — related
- System quality, use, and user satisfaction explain individual impact of e-learning — related
- Supporting user interaction and control in the indicator implementation process positively affects transparency, trust, satisfaction, and acceptance in LA — related
- Eight AI-driven factors positively influence learner satisfaction and engagement in online higher education — related
- Positive interaction with classmates and instructor determined e-learning satisfaction in a reviewed three-year study — related
- Service quality shows no significant effect on use, satisfaction, or individual impact in this sample — related
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