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 language | English |
|---|---|
| Pages (from-to) | 1-13 |
| Journal | Educational Technology and Society |
| Volume | 23 |
| Issue number | 4 |
| Publication status | Published - 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.
Fingerprint
Dive into the research topics of 'The New Science of Learning: Using the Power and Potential of the Brain to Inform Digital Learning'. Together they form a unique fingerprint.Projects
- 1 Active
-
ResInst: Hong Kong Institute for Advanced Study
CHENG, S. H. (Principal Investigator / Project Coordinator)
10/08/15 → …
Project: Research
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver