Longitudinal wearable-EEG hyperscanning dataset from 393 authentic classroom sessions¶
Product or Programme · All products and programmes
Evidence · 2 claims (2 for) · 1 study (1 associational),q2· 0 of 1 report an effect size · 2 claims rest on one study
Description¶
A longitudinal dataset of student–teacher, student–class, and student-excellence inter-brain coupling recorded with wearable EEG across 393 authentic Chinese and mathematics classes, released by Xu et al. for classroom learning and achievement research.
Components¶
Claims¶
- Within-student increases in high-beta student-teacher inter-brain coupling predict subsequent improvement in both Chinese and math scores [+M]
- Static same-wave student-teacher inter-brain coupling is negatively associated with concurrent math performance [+M]
Related Products and Programmes¶
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Key Sources¶
- Xiaomeng Xu, Dan Zhang & Yu Zhang. (2026). Student teacher inter brain coupling forecast cross semester academic fluctuation in real world classrooms. npj Science of Learning. https://doi.org/10.1038/s41539-026-00421-x
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
longitudinal-wearable-eeg-hyperscanning-dataset-from-393-authentic-classroom-sessions |
title |
Longitudinal wearable-EEG hyperscanning dataset from 393 authentic classroom sessions |
description |
A longitudinal dataset of student–teacher, student–class, and student-excellence inter-brain coupling recorded with wearable EEG across 393 authentic Chinese and mathematics classes, released by Xu et al. |
status |
review |
product_kind |
dataset |
generated |
by process:settle-candidates on 2026-10-27 |
trust |
unverified — no one has confirmed this page's content |
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