Literature DB >> 29953947

Neural engagement with online educational videos predicts learning performance for individual students.

Samantha S Cohen1, Jens Madsen2, Gad Touchan2, Denise Robles2, Stella F A Lima2, Simon Henin2, Lucas C Parra2.   

Abstract

Online educational materials are largely disseminated through videos, and yet there is little understanding of how these videos engage students and fuel academic success. We hypothesized that components of the electroencephalogram (EEG), previously shown to reflect video engagement, would be predictive of academic performance in the context of educational videos. Two groups of subjects watched educational videos in either an intentional learning paradigm, in which they were aware of an upcoming test, or in an incidental learning paradigm, in which they were unaware that they would be tested. "Neural engagement" was quantified by the inter-subject correlation (ISC) of the EEG that was evoked by the videos. In both groups, students with higher neural engagement retained more information. Neural engagement also discriminated between attentive and inattentive video viewing. These results suggest that this EEG metric is a marker of the stimulus-related attentional mechanisms necessary to retain information. In the future, EEG may be used as a tool to design and assess online educational content.
Copyright © 2018 Elsevier Inc. All rights reserved.

Keywords:  EEG; Education; Inter-subject correlation; Online learning; STEM

Mesh:

Year:  2018        PMID: 29953947     DOI: 10.1016/j.nlm.2018.06.011

Source DB:  PubMed          Journal:  Neurobiol Learn Mem        ISSN: 1074-7427            Impact factor:   2.877


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