Claims

The four detected learning tactics differ significantly across all nine learning actions (MANOVA)

Claim · All claims
Evidence · 1 study · associational r2 · q2 · i3 large
Currency · newest study 2021 · 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 i3 A statistically significant MANOVA effect distinguished the four tactic clusters, with all nine follow-up ANOVA models significant. → Yizhou Fan 2021

Evidence

Yizhou Fan 2021

Yizhou Fan, Wannisa Matcha, Nora’ayu Ahmad Uzir, Qiong Wang, Dragan Gašević. (2021). Learning Analytics to Reveal Links Between Learning Design and Self-Regulated Learning. International Journal of Artificial Intelligence in Education, 31, 980–1021. https://doi.org/10.1007/s40593-021-00249-z

q2 · i3 · associational · r2

One-way MANOVA with learning tactics as the independent variable and nine learning actions as dependent variables, using Pillai's trace due to violated homogeneity of covariances. "The multivariate effect size was estimated at multivariate η2 = .55", and all nine follow-up ANOVAs with Bonferroni corrections were statistically significant.

"A statistically significant MANOVA effect was obtained, Pillai’s Trace = 1.65, F(27, 603081) = 27326.18, p = 0.0000. The multivariate effect size was estimated at multivariate η2 = .55."

Discussion

Page metadata
Field Value
type claim
id manova-significant-tactic-differences
title The four detected learning tactics differ significantly across all nine learning actions (MANOVA)
description The four detected learning tactics differ significantly across all nine learning actions (MANOVA)
status review
evidence_strength moderate
newest_evidence 2021
generated by process:wiki-ingest on 2026-10-28
trust unverified — no one has confirmed this page's content
sources 1 — yizhou-fan-2021

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