An electrophysiological study applied to remote learning: preliminary results from an hyperscanning paradigm

The digitalization of learning in the organization represents both a necessity and an opportunity. Little to no research explored how distance training affects cognitive and affective processes in individuals and workgroups. For this reason, in this work, we propose an hyperscanning research design where conversational analysis is used to compare neurophysiological measures (frequency band analysis: delta, theta, alpha, and beta) between an equivalent training session carried out in two conditions (face-to-face and remote), by collecting electroencephalographic data (EEG) on a trainer and three groups of trainees. We theoretically describe the protocol, and we further report initial explorative results. Data showed a significant effect of the condition on both theta and beta waves, with higher synchronization for the face-to-face setting. Also, trainees seem more impacted by the delivery modality compared to the trainer. This work highlights the relevance of neurophysiological measures to test e-learning efficacy.