Claims

The effect of learning-styles-tailored instruction on academic achievement does not differ significantly by learning style model

Claim · All claims
Evidence · 1 study · quant-synthesis r2 · q3
Currency · newest study 2016 · 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.

q3 i? Under the random effect model, the between-groups Q for learning style model was not significant (p > .05), so achievement effects do not differ meaningfully across models. → Kanadlı 2016

Evidence

Kanadlı 2016

Kanadlı, S. (2016). A meta-analysis on the effect of instructional designs based on the learning styles models on academic achievement, attitude and retention. Educational Sciences: Theory & Practice, 16, 2057–2086. https://doi.org/10.12738/estp.2016.6.0084

q3 · i? · quant-synthesis · r2

Categorical moderator analysis comparing the 4MAT, Perceptual, Dunn & Dunn and Kolb models (Felder & Solomon and Brain Dominance each appeared in only one study and were excluded). Random-effects common effect sizes were 1.168, 0.870, 1.331 and 1.067 respectively; the article reports "no meaningful difference among the effect sizes".

"In Table 3, the Q statistic calculated under the random effect model yielded no significant ( p > .05) result. These results indicated that there is no meaningful difference among the effect sizes of the classifications made according to learning styles model."

Discussion

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