Claims

The 5P model produced significantly better working memory accuracy than the 5E model, with a large model-by-time interaction

Claim · All claims
Evidence · 1 study · causal r2 · q3 · i3 large
Currency · newest study 2017 · checked against its sources 2026-11-01 (automated, 1 of 1 entry) · 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.

q3 i3 Instruction models significantly interacted with time on working memory accuracy (F(13,62)=74.277, p=0.000; the text says 95.0 percent of variance, the printed partial eta-squared is 0.940). → Srikoon et al. 2017

Evidence

Srikoon et al. 2017

Srikoon, S., Bunterm, T., Nethanomsak, T., & Ngang, T. K. (2017). A comparative study of the effects of the neurocognitive-based model and the conventional model on learner attention, working memory and mood. Malaysian Journal of Learning and Instruction, 14(1), 83-110. https://eric.ed.gov/?id=EJ1150726

q3 · i3 · causal · r2

Omnibus model-by-time interaction on working memory accuracy from the same MANOVA (76 Grade 9 students, 5P experimental vs 5E control); the text says it explained "the variance of 95 .0 percent of the working memory accuracy" while the printed partial eta-squared is 0.940. Students in the 5P group performed better on working memory accuracy. This is not the study's largest effect: the model-by-time interactions for working-memory reaction time (partial eta-squared = 0.952) and attention reaction time (0.950) are larger.

"the instruction models have significantly interacted with times at a 0.05 significance level (F(13,62)=74.277, p=0.000) and can explain the variance of 95 .0 percent of the working memory accuracy"

Discussion

Learner Variables

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