Claims

A re-analysis of a meta-analysis found learning from animations more effective than static pictures only when features of the displayed changes were relevant to learning

Claim · All claims
Evidence · 1 study · causal r2 · q2 · i1 small
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 i1 The re-analysis by Ploetzner et al. (2020) found significant advantages for animations when simple (g = 0.340) or complex (g = 0.647) features of change had to be learned, but not otherwise (g = 0.043). → Rolf Ploetzner 2021

Evidence

Rolf Ploetzner 2021

Rolf Ploetzner, Sandra Berney, Mireille Bétrancourt. (2021). When learning from animations is more successful than learning from static pictures: learning the specifics of change. Instructional Science. https://doi.org/10.1007/s11251-021-09541-w

q2 · i1 · causal · r2

The article reports, citing Ploetzner et al. (2020), a re-analysis of the Berney and Bétrancourt (2016) meta-analysis with a new moderator coding whether simple or complex features of displayed change were relevant to learning; the printed effect sizes are g = 0.340, g = 0.647, and g = 0.043. The present experimental study was conducted to validate this finding.

"Learning from animations was significantly more successful than learning from static pictures if either simple (g = 0.340) or complex (g = 0.647) features of the displayed changes had to be learned. If neither simple nor complex features of the presented changes had to be learned, it was irrelevant whether learning took place on the basis of animations or static pictures (g = 0.043)."

Discussion

Page metadata
Field Value
type claim
id reanalysis-features-of-change-moderator
title A re-analysis of a meta-analysis found learning from animations more effective than static pictures only when features of the displayed changes were relevant to learning
description A re-analysis of a meta-analysis found learning from animations more effective than static pictures only when features of the displayed changes were relevant to learning
status review
evidence_strength weak
newest_evidence 2021
generated by process:wiki-ingest on 2026-10-18
trust unverified — no one has confirmed this page's content
sources 1 — rolf-ploetzner-2021

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