The coupling-performance relationship differs across baseline achievement groups¶

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Model fit of dynamic and static coupling models varied across baseline performance quartiles, differing by subject. → Xiaomeng Xu 2026

Evidence¶

Xiaomeng Xu 2026¶

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

q2 · i? · associational · r2

Subgroup analysis categorizing students into four baseline performance groups and comparing model fit indices of dynamic and static models per subject. Predictive effects of student-teacher coupling "varied across performance groups," confirming modulation by students' prior academic standing.

"For Chinese, the dynamic model yielded the most significant estimates within the top 25% of students . In contrast, for math, the best model fit in the dynamic analysis was observed among middle-performing students (25%-75%), while the static model showed the strongest fit for the bottom -performing group (bottom 25%)."

Discussion¶

Related Claims¶

• Dynamic coupling-improvement effects are grade-dependent, significant in junior but not senior students — related
• Peer-based inter-brain coupling predicts math improvement only via class-average coupling and shows subject-specific static patterns — related
• Coupling effects are limited to contiguous waves and do not generalize across subjects — related
• The temporal asymmetry holds across gender and initial ability levels, with a cautious gender difference in the French lagged effect — related
• Within-student increases in high-beta student-teacher inter-brain coupling predict subsequent improvement in both Chinese and math scores — related