Claims

Contrasting erroneous examples were more often effective than correct examples and problem-solving, sometimes equally or more effective than erroneous examples

Claim · All claims
Evidence · 1 study (2 entries) · review r3 · q2
Currency · newest study 2025 · 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 i? In Con-ErrEx vs CorrEx comparisons, Con-ErrEx was the beneficial example type in several studies, including significantly better merged-condition performance. → Sonja Dieterich 2025 q2 i? In ErrEx vs Con-ErrEx comparisons, results were mixed: Con-ErrEx was superior for classification questions but not for application questions. → Sonja Dieterich 2025 (2)

Evidence

Sonja Dieterich 2025

Sonja Dieterich, Stefan Rumann, Marc Rodemer. (2025). Conditions for Effective Learning from Erroneous Examples: A Systematic Review. Educational Psychology Review. https://doi.org/10.1007/s10648-025-10071-x

q2 · i? · review · r3

Table 1 entry for Barbieri and Devlin (2024), a Con-ErrEx vs CorrEx comparison with mathematical figures and KR feedback, reports "Con-ErrEx were significantly better as single type condition". The comparison and sequential Con-ErrEx conditions were not significantly different and were merged.

"Con-ErrEx were significantly better as single type condition (merged condition of CorrEx and ErrEx)"

Sonja Dieterich 2025 (2)

Sonja Dieterich, Stefan Rumann, Marc Rodemer. (2025). Conditions for Effective Learning from Erroneous Examples: A Systematic Review. Educational Psychology Review. https://doi.org/10.1007/s10648-025-10071-x

q2 · i? · review · r3

Table 1 entry for Corral and Carpenter (2020), combining data from two experiments with scenario texts and elaborated feedback, reports Con-ErrEx learned significantly more than CorrEx and ErrEx for classification questions, while for application questions ErrEx and Con-ErrEx enhanced learning equally.

"For classification question, Con-ErrEx learned significantly more than CorrEx and ErrEx. For application questions ErrEx and Con-ErrEx enhanced learning equally and outperformed CorrEx"

Discussion

Page metadata
Field Value
type claim
id con-errex-more-often-effective
title Contrasting erroneous examples were more often effective than correct examples and problem-solving, sometimes equally or more effective than erroneous examples
description Contrasting erroneous examples were more often effective than correct examples and problem-solving, sometimes equally or more effective than erroneous examples
status review
evidence_strength moderate
newest_evidence 2025
generated by process:wiki-ingest on 2026-10-19
trust unverified — no one has confirmed this page's content
sources 2 — sonja-dieterich-2025, sonja-dieterich-2025-2

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