The New Science of Learning: Using the Power and Potential of the Brain to Inform Digital Learning

Hsu-Wen Huang*, Jung-Tai King, Chia-Lin Lee

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Abstract

Integrating education practices and measurements of brain activity has the potential to make learning more engaging and productive. Direct recordings of electrical activity in the brain provide important information about the complex dynamics of the cognitive processes and mental states that occur during learning, which can ultimately empower learners. In this article, electroencephalographic (EEG) methodologies, including the time-frequency and event-related potential techniques, are introduced, and the application of these techniques to studies of digital learning studies is discussed. Considerations of how to collect high quality data in both laboratory and real world settings are also presented, along with potential research directions. Finally, a general guideline for publishing results is offered. These issues are critical for producing useful applications of EEG studies to the digital learning research community.
Original languageEnglish
Pages (from-to)1-13
JournalEducational Technology and Society
Volume23
Issue number4
Publication statusPublished - Oct 2020

Research Keywords

  • Digital learning
  • Dry-wireless EEG
  • Electroencephalograph (EEG)
  • Event-related potentials

Publisher's Copyright Statement

  • This article of the journal of Educational Technology & Society is available under Creative Commons CC-BY-NC-ND 3.0 license.

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