NEUROTECHNOLOGIES FOR EDUCATION IMPROVEMENT: SELF-KNOWLEDGE AFTER OPENING THE BLACK BOX

Authors

  • Hernán Díaz Neurocognitive Engineering Lab Department of Industrial Engineering, Faculty of Engineering University of Santiago de Chile
  • Lucio Cañete Neurocognitive Engineering Lab Department of Industrial Engineering, Faculty of Engineering University of Santiago de Chile
  • Cristián Costa Neurocognitive Engineering Lab Department of Industrial Engineering, Faculty of Engineering University of Santiago de Chile
  • Fredi Palominos Neurocognitive Engineering Lab Department of Industrial Engineering, Faculty of Engineering University of Santiago de Chile
  • Felisa Córdova Neurocognitive Engineering Lab Department of Industrial Engineering, Faculty of Engineering University of Santiago de Chile

Keywords:

EEG, channels spectra and maps, brain synchrony and tuning, functional architectures, coordination and self-regulation, brain activity assembles maps.

Abstract

In the framework of new neurotechnologies available for education improvement, a general referential conceptual model of brain operation and functioning, together with some different ways to visualize brain processing, in terms of functional architectural activity patterns, during basal and cognitive tasks, are presented. The model proposed is based on a general description of interacting modules in the brain, acting as coordinated and mutually regulated units, assembled in terms of temporal synchrony and tuning correlations measured between EEG channels, recording cortical brain activity during different tasks. An exploratory method to allow data gathering for channels spectral map visualization and functional EEG architectural patterns of basal brain activity and cognitive tasks is presented to determine inter- and intra-individual differences and the potential of individual identification based on this approach. Results obtained in this way support the idea that it is possible to extract distinctive individual characteristics coming from cortical brain activity and that different tasks and performances can be potentially correlated with different functional and structural architectures that arise as indicative of different ways to process information during cognitive and resting state. A final reflection is made about how this investigative approach can be used to education in terms of didactic and educative paradigms´ testing and as a bridge to communicate and involve students in their own process of cognitive change during learning.

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Published

2018-07-10