Gesture-based Instruction Enhances Neural Synchrony and Predicts Children's Mathematical Learning

Marine Yumeng Wang, Kristine Hocker, Alfred Chao, Xiaohan (Hannah) Guo, Amanda Seccia, Marc G. Berman, Susan Goldin-Meadow, Yuan Chang Leong

Published: 22 Mar 2026, Last Modified: 12 Apr 2026Journal of Cognitive NeuroscienceEveryoneRevisionsCC BY-SA 4.0
Abstract: Teachers' hand movements during instruction can influence how children learn mathematics, but not all movements are equally effective. Gesture-based instruction on problems such as 4 + 2 + 5 = __ + 5—where the teacher places a V-shaped hand under the 4 and 2 and then points to the blank (“grouping strategy”)—promotes learning better than action-based instruction—where the teacher manipulates magnetic numbers to mimic the gestures. How do hand movements facilitate learning? We tested 8- to 10-year-old children (n = 73) using functional near-infrared spectroscopy to measure neural activity as they watched gesture-based or action-based videotaped lessons. Gesture-based instruction elicited greater intersubject neural synchrony in motor cortex and angular gyrus, a region implicated in arithmetic processing. Critically, synchrony in the right angular gyrus during gesture instruction predicted learning gains, whereas synchrony during action-based instruction did not. Our work demonstrates how gestures foster shared representations in brain regions supporting arithmetic reasoning, offering a neural basis for gesture's behavioral advantages in mathematics education. These findings highlight functional near-infrared spectroscopy as a powerful tool for capturing how mathematical learning unfolds in children.
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