The model explains substantial variance in emotional engagement and active learning with good predictive relevance¶
Claim · All claims
Evidence · 1 study · associationalr2·q2
Currency · newest study 2018 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2021: tool and model accuracy changes quickly
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? The model explains 54.12% of variance in emotional engagement and 53.45% in active learning, with Q2 values of 0.38 and 0.37 and SRMR of 0.055. → Molinillo 2018
Evidence¶
Molinillo 2018¶
Molinillo, S., Aguilar-Illescas, R., Anaya-Sánchez, R., & Vallespín-Arán, M. (2018). Exploring the impacts of interactions, social presence and emotional engagement on active collaborative learning in a social web-based environment. Computers & Education, 123, 41-52. https://doi.org/10.1016/j.compedu.2018.04.012
q2 · i? · associational · r2
Structural model assessment via PLS-SEM (SmartPLS 3.0, 5,000 bootstrap subsamples); R2 values of "emotional engagement (54.12%) and active learning (53.45%)" were reported, with Q2 of 0.38 and 0.37 and SRMR 0.055.
"The model explains a great deal of the variance of the endogenous constructs: emotional engagement (54.12%) and active learning (53.45%)."
Discussion¶
Related Claims¶
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