Claims

Error correction supports learning when it requires substantive cognitive work such as explanation and reconstruction

Claim · All claims
Evidence · 1 study · causal r? · q2
Currency · newest study 2026 · checked against its sources 2026-10-13 (automated, 1 of 1 entry) · 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 an error-correction paradigm with pre- and post-tests, findings suggest that effort during correction matters for learning, though the study did not examine naturalistic GenAI use. → Wei J and Shang Y 2026

Evidence

Wei J and Shang Y 2026

Wei J and Shang Y (2026). Beyond checking: verification quality, reliance calibration, and learning in generative AI-assisted higher education. Front. Psychol. 17:1965371. https://doi.org/10.3389/fpsyg.2026.1965371

q2 · i? · causal · r?

The review reports, citing Olney and Cade (2025), a mechanistic error-correction study with pre- and post-tests in which participants corrected a virtual student. It notes the study "provides mechanistic evidence rather than direct evidence about contemporary university GenAI settings".

"Olney and Cade (2025) used an error-correction paradigm in which participants corrected a virtual student and completed pre- and post-tests. Their findings suggest that effort during correction matters for learning."

Discussion

Page metadata
Field Value
type claim
id error-correction-effort-supports-learning
title Error correction supports learning when it requires substantive cognitive work such as explanation and reconstruction
description Error correction supports learning when it requires substantive cognitive work such as explanation and reconstruction
status review
evidence_strength weak
newest_evidence 2026
source_checked 2026-10-13
generated by process:wiki-ingest on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 1 — wei-j-and-shang-y-2026

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