Improving students' cognitive abilities in online environment based on neurofeedback

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The brain-computer interface (BCI) and eye-tracking technologies can potentially improve the learning environment in education. Cognitive BCIs can give a deep knowledge of brain functioning, enabling the creation of more effective learning approaches and improving brain-based abilities. This study proposes a neurofeedback strategy based on BCI and eye-tracking to collect factual data (monitoring students' brainwaves and eye movement) and analyze their cognitive capacities during online learning. This study aims to create patterns regarding students' learning behavior based on brain and eye movement responses to learning activities as part of the learning environment. As a result, teachers may adapt to new pedagogical ideas and a more flexible delivery style.

Original languageEnglish
Title of host publicationEDUCON 2023 - IEEE Global Engineering Education Conference, Proceedings
PublisherIEEE Computer Society
ISBN (Electronic)9798350399431
DOIs
Publication statusPublished - 2023
Event14th IEEE Global Engineering Education Conference, EDUCON 2023 - Salmiya, Kuwait
Duration: May 1 2023May 4 2023

Publication series

NameIEEE Global Engineering Education Conference, EDUCON
Volume2023-May
ISSN (Print)2165-9559
ISSN (Electronic)2165-9567

Conference

Conference14th IEEE Global Engineering Education Conference, EDUCON 2023
Country/TerritoryKuwait
CitySalmiya
Period5/1/235/4/23

ASJC Scopus subject areas

  • Information Systems and Management
  • Education
  • General Engineering

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