2026-10-13T20:41:39Z https://www.scidb.cn/oai

10.57760/sciencedb.36064 2026-05-25T11:30:45Z

2026-05-25 An fNIRS hyperscanning dataset on teacher-student synchrony during mathematical instructions in school-aged children doi:10.57760/sciencedb.36064 en In this work, we present a dataset of functional Near-infrared Spectroscopy (fNIRS) hyperscanning recordings collected from 65 teacher-student groups engaged in mathematics instruction, during which third-grade students learned fractions and perimeter in two separate sessions. Among the 65 groups, 58 comprised one teacher and two students—triadic hyperscanning, and 7 comprised one teacher and one student—dyadic hyperscanning, yielding a total of 125 sessions (111 triads). The dataset includes raw optical intensity files, preprocessed hemoglobin concentration data, event markers, source-detector geometry, questionnaire measures, and demographic information. This dataset may serve as a unique resource for testing hypotheses related to math learning, how teacher-student and student-student neural synchrony may moderate classroom dynamics or predict students’ learning outcomes, and for developing new hyperscanning data analysis tool. Classroom learning; mathematics; triadic fNIRS hyperscanning; school-aged children Leyan Xie Zeshan Shoaib Xuancu Hong Chi-Shing Tse Patrick C.M. Wong Xin Zhou RESTRICTED dataset http://www.doi.org/10.1038/s41598-026-50540-z Science Data Bank