Global efficiency declined across stages where tested while local efficiency differed significantly between stages in each task¶
Claim · All claims
Evidence · 1 study (2 entries) · associationalr1·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? Global efficiency was higher in Stage 1 than the other two stages where tested, indicating decreasing overall network connectivity as the learning stage progresses. → Hui Xie 2025
q2 i? Local efficiency varied significantly across stages in each task. → Hui Xie 2025 (2)
Evidence¶
Hui Xie 2025¶
Hui Xie, Chunli Jia, Yanxia Luo, Jiangshan He, Zexiao Dong, Dan Liang, Ziqi Ren, Mingzhe Jiang, Xinbo Gao & Xueli Chen. (2025). EEG analysis of brain dynamics in a simulated multi-task and multi-stage learning environment. npj Science of Learning. https://doi.org/10.1038/s41539-025-00376-5
q2 · i? · associational · r1
Graph-theoretic analysis of PLI-based functional connectivity in the semester-long EEG study. Wilcoxon tests found global efficiency differences only between lecture Stage 1 vs 3 and quiz Stage 1 vs 2; "the global efficiency of Stage 1 w a sh i g h e rt h a nt h eo t h e rt w os t a g e s."
"The global efficiency of Stage 1 w a sh i g h e rt h a nt h eo t h e rt w os t a g e s .T h i si n d i c a t e st h a tt h ee f f e c t i v e n e s so f the overall network connectivity decreases as the learning stage progresses, and information propagation between different regions gradually slows down."
Hui Xie 2025 (2)¶
Hui Xie, Chunli Jia, Yanxia Luo, Jiangshan He, Zexiao Dong, Dan Liang, Ziqi Ren, Mingzhe Jiang, Xinbo Gao & Xueli Chen. (2025). EEG analysis of brain dynamics in a simulated multi-task and multi-stage learning environment. npj Science of Learning. https://doi.org/10.1038/s41539-025-00376-5
q2 · i? · associational · r1
Local efficiency comparisons across the three stages of each task (Table 1) reached significance, with median values, p values, and power reported per pairwise comparison; the authors state "the local efficiency between different stages in each task varies significantly."
"In contrast, the local efficiency between different stages in each task varies significantly, as shown in Table1. This variation may imply that the local network structure of each stagechanges considerably."
Discussion¶
Related Claims¶
- EEG average amplitude differs significantly across learning stages within each task, and across tasks at Stages 1 and 3, during a semester-long course — related
- Intrinsically motivated students form reflective-iterative metacognitive co-occurrence networks, but overall ENA centroid positions do not differ significantly between motivational groups — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
eeg-efficiency-stage-changes |
title |
Global efficiency declined across stages where tested while local efficiency differed significantly between stages in each task |
description |
Global efficiency declined across stages where tested while local efficiency differed significantly between stages in each task |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
generated |
by process:wiki-ingest on 2026-10-26 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — hui-xie-2025, hui-xie-2025-2 |
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