Enhancement of teaching outcome through neural prediction of the students' knowledge state

• Published in: Human brain mapping Vol. 39; no. 7; pp. 3046 - 3057
• Main Authors: Zheng, Lifen, Chen, Chuansheng, Liu, Wenda, Long, Yuhang, Zhao, Hui, Bai, Xialu, Zhang, Zhanjun, Han, Zaizhu, Liu, Li, Guo, Taomei, Chen, Baoguo, Ding, Guosheng, Lu, Chunming
• Format: Journal Article
• Language: English
• Published: United States John Wiley & Sons, Inc 01.07.2018; John Wiley and Sons Inc
• Subjects: Adult; Brain; Cerebral Cortex - physiology; Educational Personnel; Female; functional near‐infrared spectroscopy; Functional Neuroimaging - methods; Humans; hyperscanning; Hypotheses; Infrared spectroscopy; interpersonal neural synchronization; Interpersonal Relations; Male; Mathematical Concepts; Medical imaging; Neuroimaging; Neurology; prediction; Problem Solving - physiology; Spectroscopy, Near-Infrared - methods; Students; Synchronization; Teachers; Teaching; Temporal lobe; Time Factors; Time synchronization; Young Adult; prediction; teaching; functional near-infrared spectroscopy; hyperscanning; interpersonal neural synchronization

The neural mechanism for the dyadic process of teaching is poorly understood. Although theories about teaching have proposed that before any teaching takes place, the teacher will predict the knowledge state of the student(s) to enhance the teaching outcome, this theoretical Prediction‐Transmission...