Feedback types elicit distinct fNIRS activation patterns: frontopolar and middle temporal gyrus higher under metacognitive feedback, supramarginal gyrus under affective feedback, DLPFC under neutral feedback¶
Claim · All claims
Evidence · 1 study · causalr2·q3·i3large
Currency · newest study 2025 · checked against its sources 2026-10-26 (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 i3 Group differences in brain activation were significant across channel-region combinations (η² up to 0.21): frontopolar area and MTG higher in the MF group, SMG higher in the AF group, and DLPFC higher in the NF group. → Yin 2025
Evidence¶
Yin 2025¶
Yin, J., Xu, H., Pan, Y., & Hu, Y. (2025). Effects of different AI-driven Chatbot feedback on learning outcomes and brain activity. npj Science of Learning. https://doi.org/10.1038/s41539-025-00311-8
q3 · i3 · causal · r2
ANOVA over 20 fNIRS channels (ΔHbO) during human-chatbot interaction, reported in Table 1 with η² values of 0.21 (DLPFC-CH1), 0.21 (DLPFC-CH7), 0.18 (FP-CH8), 0.17 (SMG-CH11), 0.12 (MTG-CH19). "In contrast, brain activation was significantly higher in the NF group than in the MF and AF groups in channel 1 and channel 4".
"Brain activation was significantly higher in the MF group than in the AF group and NF group in channel 8 (frontopolar area) and channel 19 (middle temporal gyrus). In addition, brain activation was significantly higher in the AF group than in the MF and NF groups in channel 11 (supramarginal gyrus)."
Discussion¶
Related Claims¶
- In the metacognitive feedback group, frontopolar activation correlates with metacognitive sensitivity and middle temporal gyrus activation correlates with retention — a narrower finding that bears on this claim
- Machine learning models using whole-module fNIRS features predict transfer scores in all feedback groups, with the frontopolar area a predictor regardless of feedback type — related
- Metacognitive and affective chatbot feedback each produce higher retention scores than neutral feedback, with no significant difference between metacognitive and affective groups — related
- Metacognitive chatbot feedback produces higher transfer scores than both affective and neutral feedback — related
- Metacognitive chatbot feedback raises metacognitive sensitivity relative to affective and neutral feedback — related
- SVM classification of fNIRS activation patterns distinguishes RD with 60–90% accuracy, with left MTG channels the most consistent discriminative features — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
chatbot-feedback-type-brain-activation-patterns |
title |
Feedback types elicit distinct fNIRS activation patterns: frontopolar and middle temporal gyrus higher under metacognitive feedback, supramarginal gyrus under affective feedback, DLPFC under neutral feedback |
description |
Feedback types elicit distinct fNIRS activation patterns: frontopolar and middle temporal gyrus higher under metacognitive feedback, supramarginal gyrus under affective feedback, DLPFC under neutral feedback |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
source_checked |
2026-10-26 |
generated |
by process:wiki-ingest on 2026-10-26 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — yin-2025 |
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