Electrophysiology and hyperscanning applied to e-learning for organizational training
ISSN: 0969-6474
Article publication date: 19 July 2023
Issue publication date: 30 November 2023
Abstract
Purpose
The purpose of this study is to investigate the effects of the remote training process on distance learning with the application of neurometrics and investigate the features of the training that promote better synchronization between trainers and trainees in terms of cognitive and emotional processes favorable to learning, during a condition of remote professional training.
Design/methodology/approach
The authors proposed a hyperscanning paradigm together with a conversational analysis to assess remote online training by collecting neurophysiological measures (frequency band analysis: delta, theta, alpha and beta) via multiple wearable electroencephalograms (EEGs) during a session of remote training.
Findings
Results showed increased delta activity in the trainer when he was leading the session and when the participants were exchanging feedback. The delivery of feedback was also linked to increased theta activity compared with the normal activity of the trainees. Finally, synchronization of EEG between trainer and trainee groups was found for the beta band.
Research limitations/implications
This study proposes to adopt a new multi-methodological approach that combines conversational analysis with the detection of remote neurometric parameters, in the field of educational neuroscience applied to organizational contexts.
Practical implications
Findings can help trainers in the development of their skills as trainers and in modeling remote training in organizations.
Originality/value
Findings highlight the crucial role of particular phases of the e-learning process, such as the feedback phase and the interaction trainer group, and they pointed out the relevance of neurophysiological measures to test the e-learning process.
Keywords
Acknowledgements
Funding: This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.
Conflict of interest: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Data availability statement: The data that support the findings of this study are available from the corresponding author upon reasonable request.
Citation
Balconi, M., Angioletti, L. and Cassioli, F. (2023), "Electrophysiology and hyperscanning applied to e-learning for organizational training", The Learning Organization, Vol. 30 No. 6, pp. 857-876. https://doi.org/10.1108/TLO-01-2023-0011
Publisher
:Emerald Publishing Limited
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