Improving students' cognitive abilities in online environment based on neurofeedback

Nuraini Jamil; Abderrahmane Lakas; Abdelkader Nasreddine Belkacem

doi:10.1109/EDUCON54358.2023.10125200

Improving students' cognitive abilities in online environment based on neurofeedback

Nuraini Jamil, Abderrahmane Lakas, Abdelkader Nasreddine Belkacem

Department of Computer and Network Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

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 language	English
Title of host publication	EDUCON 2023 - IEEE Global Engineering Education Conference, Proceedings
Publisher	IEEE Computer Society
ISBN (Electronic)	9798350399431
DOIs	https://doi.org/10.1109/EDUCON54358.2023.10125200
Publication status	Published - 2023
Event	14th IEEE Global Engineering Education Conference, EDUCON 2023 - Salmiya, Kuwait Duration: May 1 2023 → May 4 2023

Publication series

Name	IEEE Global Engineering Education Conference, EDUCON
Volume	2023-May
ISSN (Print)	2165-9559
ISSN (Electronic)	2165-9567

Conference

Conference	14th IEEE Global Engineering Education Conference, EDUCON 2023
Country/Territory	Kuwait
City	Salmiya
Period	5/1/23 → 5/4/23

ASJC Scopus subject areas

Information Systems and Management
Education
General Engineering

Access to Document

10.1109/EDUCON54358.2023.10125200

Cite this

Improving students' cognitive abilities in online environment based on neurofeedback. / Jamil, Nuraini; Lakas, Abderrahmane ; Belkacem, Abdelkader Nasreddine.
EDUCON 2023 - IEEE Global Engineering Education Conference, Proceedings. IEEE Computer Society, 2023. (IEEE Global Engineering Education Conference, EDUCON; Vol. 2023-May).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Jamil, N, Lakas, A & Belkacem, AN 2023, Improving students' cognitive abilities in online environment based on neurofeedback. in EDUCON 2023 - IEEE Global Engineering Education Conference, Proceedings. IEEE Global Engineering Education Conference, EDUCON, vol. 2023-May, IEEE Computer Society, 14th IEEE Global Engineering Education Conference, EDUCON 2023, Salmiya, Kuwait, 5/1/23. https://doi.org/10.1109/EDUCON54358.2023.10125200

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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.",

author = "Nuraini Jamil and Abderrahmane Lakas and Belkacem, {Abdelkader Nasreddine}",

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AB - 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.

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Improving students' cognitive abilities in online environment based on neurofeedback

Abstract

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Conference

ASJC Scopus subject areas

Access to Document

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