Claims

Self-explanation quality correlated with prior knowledge and post-test knowledge but not with learning gains

Claim · All claims
Evidence · 1 study · causal r2 · q3 · i3 large
Currency · newest study 2022 · 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 i3 Self-explanation quality correlated significantly with prior knowledge (r = .24) and post-test knowledge (r = .37), but not with gain scores (r = .16, p = .188). → Bichler 2022

Evidence

Bichler 2022

Bichler, S., Stadler, M., Bühner, M., Greiff, S., & Fischer, F. (2022). Learning to solve ill-defined statistics problems: does self-explanation quality mediate the worked example effect? Instructional Science. https://doi.org/10.1007/s11251-022-09579-4

q3 · i3 · causal · r2

Correlational analysis of the new self-explanation data (N = 74). Self-explanation quality and concept application strongly correlated (r = .72, p < .001); the article continues with self-explanation quality as the mediator of interest. None of the correlations with covariates and moderators except prior knowledge were significant.

"Self-explanation quality correlated significantly with prior knowledge r = .24, p = .042 and post-test knowledge r = .37, p = .001, but not with gain scores r = .16, p = .188."

Discussion

Page metadata
Field Value
type claim
id self-explanation-quality-correlations-null-gain
title Self-explanation quality correlated with prior knowledge and post-test knowledge but not with learning gains
description Self-explanation quality correlated with prior knowledge and post-test knowledge but not with learning gains
status review
evidence_strength weak
newest_evidence 2022
generated by process:wiki-ingest on 2026-10-18
trust unverified — no one has confirmed this page's content
sources 1 — bichler-2022

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