A brief metacognitive reflection prompt reduces acceptance of incorrect AI advice compared with open ChatGPT support alone¶
Claim · All claims
Evidence · 1 study · causalr2·q3
Currency · newest study 2026 · checked against its sources 2026-10-15 (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.
q3 i? Acceptance of incorrect ChatGPT recommendations was 62.4% under open support versus 39.7% under reflection, with reflection substantially reducing the odds of accepting incorrect advice (OR = 0.40). → Ren S 2026
Evidence¶
Ren S 2026¶
Ren S (2026) College students’ metacognitive awareness of generative-AI reliance: an experimental study of decision confidence and attribution bias. Front. Psychol. 17:1926110. https://doi.org/10.3389/fpsyg.2026.1926110
q3 · i? · causal · r2
Trial-level logistic mixed-effects model with participant and task random intercepts compared the two AI-assisted conditions (114 participants each). "β =− 0.92" with "odds ratio = 0.40, 95% CI [0.28, 0.56]" for the reflection contrast; descriptively 62.4% vs. 39.7% incorrect-advice acceptance.
"A logistic mixed-effectsmodelconfirmedthisdifference (β =− 0.92, SE = 0.18, z =− 5.11, p < 0.001, odds ratio = 0.40, 95% CI [0.28, 0.56]), indicating that reflection substantially reduced the odds of accepting incorrect AI advice."
Discussion¶
Related Claims¶
- Evidence suggests over-reliance on generative AI may negatively affect students' self-regulated learning behaviors, potentially harming retention and transfer to novel contexts — the general claim this finding bears on, with the studies behind it
- Better awareness calibration co-occurs with lower incorrect-advice acceptance and lower attribution bias, interpreted associationally only — related
- Open ChatGPT support produces stronger self-serving attribution bias than ChatGPT support with reflection — related
- Open ChatGPT support increases college students' final decision confidence relative to independent decision-making, and reflection attenuates the boost — related
- ChatGPT recommendation accuracy was comparable between the open-support and reflection conditions, ruling out unequal exposure to erroneous advice — related
- Reflection improves correspondence between perceived and behavioral reliance on ChatGPT — related
- Reflection produced selective rather than blanket rejection of AI: alignment with correct advice stayed high while alignment with incorrect advice dropped — related
- Students frequently accepted misleading AI recommendations (overreliance) while rarely rejecting correct ones (underreliance) — related
- Explaining one's own potentially incorrect ideas can reduce learning, while explaining known-correct content supports it — related
- Warning labels alone did not improve performance or reduce reliance on GenAI advice, and students sometimes adopted incorrect AI answers — related
- Trust and reliance can diverge, and self-reported reliance measures cannot classify calibration without output-quality ground truth — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
reflection-reduces-incorrect-ai-advice-acceptance |
title |
A brief metacognitive reflection prompt reduces acceptance of incorrect AI advice compared with open ChatGPT support alone |
description |
A brief metacognitive reflection prompt reduces acceptance of incorrect AI advice compared with open ChatGPT support alone |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
source_checked |
2026-10-15 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — ren-s-2026 |
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