Instructor–Learner Neural Synchronization During Elaborated Feedback Predicts Learning Transfer

Yi Zhu, Victoria Leong, Yingying Hou, Dingning Zhang, Yafeng Pan, Yi Hu

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

The provision of feedback with complex information beyond the correct answer, that is, elaborated feedback, can powerfully shape learning outcomes such as transfer, that is, the ability to extend what has been learned in one context to new contexts. However, an understanding of neurocognitive processes of elaborated feedback during instructor–learner interactions remains elusive. Here, a two-person interactive design is used during simultaneous recording of functional near-infrared spectroscopy (fNIRS) signals from adult instructor–learner dyads. Instructors either provided elaborated feedback (i.e., correct answer and an example) or simple feedback (i.e., correct answer only) to learners during a concept learning task. Our results show that elaborated feedback produced comparable levels of retention to simple feedback; however, transfer was significantly enhanced by elaboration. We also noted significant instructor–learner neural synchronization in frontoparietal regions during the provision of elaborated feedback, especially when examples were provided. Further, interpersonal neural synchronization in the parietal cortex successfully predicted transfer of knowledge to novel contexts. This prediction was retained for both learnerdelayed and learner-preceding neural synchronization.

Original languageEnglish
Pages (from-to)1427-1441
Number of pages15
JournalJournal of Educational Psychology
Volume114
Issue number6
DOIs
StatePublished - 2022

Keywords

  • Elaborated feedback
  • Fnirs hyperscanning
  • Instruction and learning
  • Interpersonal neural synchronization
  • Transfer

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