Claims

Self-explanation quality does not mediate the worked example effect on learning gains in ill-defined statistics problems

Claim · All claims
Evidence · 1 study · causal r2 · q3
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 i? The indirect effect of worked examples through self-explanation quality was not statistically significant across models with prior knowledge, WMC, shifting, and fluid intelligence as moderators. → 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 · i? · causal · r2

Conditional process analysis (PROCESS model 59) of a randomized two-condition experiment (worked examples n1 = 36 vs problem-solving n2 = 38) with N = 74 university students. The indirect effect was non-significant at mean −1 SD, mean, and mean + 1 SD of the moderator; the article reports "no evidence for an indirect effect of worked examples through self-explanation quality".

"In sum, we found no evidence for an indirect effect of worked examples through self-explanation quality or its dependence on the moderator prior knowledge."

Discussion

Page metadata
Field Value
type claim
id no-self-explanation-quality-mediation-worked-example-effect
title Self-explanation quality does not mediate the worked example effect on learning gains in ill-defined statistics problems
description Self-explanation quality does not mediate the worked example effect on learning gains in ill-defined statistics problems
status review
evidence_strength moderate
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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