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An EEG-Based Cognitive Load Assessment in Multimedia Learning Using Feature Extraction and Partial Directed Coherence

Assessing cognitive load during a learning phase is important, as it assists to understand the complexity of the learning task. It can help in balancing the cognitive load of postlearning and during the actual task. Here, we used electroencephalography (EEG) to assess cognitive load in multimedia le...

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Main Authors: Mazher, M., Abd Aziz, A., Malik, A.S., Ullah Amin, H.
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028850360&doi=10.1109%2fACCESS.2017.2731784&partnerID=40&md5=da808b5173b6ef020f0107c57512d568
http://eprints.utp.edu.my/19430/
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spelling my.utp.eprints.194302018-04-20T00:47:11Z An EEG-Based Cognitive Load Assessment in Multimedia Learning Using Feature Extraction and Partial Directed Coherence Mazher, M. Abd Aziz, A. Malik, A.S. Ullah Amin, H. Assessing cognitive load during a learning phase is important, as it assists to understand the complexity of the learning task. It can help in balancing the cognitive load of postlearning and during the actual task. Here, we used electroencephalography (EEG) to assess cognitive load in multimedia learning task. EEG data were collected from 34 human participants at baseline and a multimedia learning state. The analysis was based on feature extraction and partial directed coherence (PDC). Results revealed that the EEG frequency bands and activated brain regions that contribute to cognitive load differed depending on the learning state. We concluded that cognitive load during multimedia learning can be assessed using feature extraction and measures of effective connectivity (PDC). © 2013 IEEE. Institute of Electrical and Electronics Engineers Inc. 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028850360&doi=10.1109%2fACCESS.2017.2731784&partnerID=40&md5=da808b5173b6ef020f0107c57512d568 Mazher, M. and Abd Aziz, A. and Malik, A.S. and Ullah Amin, H. (2017) An EEG-Based Cognitive Load Assessment in Multimedia Learning Using Feature Extraction and Partial Directed Coherence. IEEE Access, 5 . pp. 14819-14829. http://eprints.utp.edu.my/19430/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Assessing cognitive load during a learning phase is important, as it assists to understand the complexity of the learning task. It can help in balancing the cognitive load of postlearning and during the actual task. Here, we used electroencephalography (EEG) to assess cognitive load in multimedia learning task. EEG data were collected from 34 human participants at baseline and a multimedia learning state. The analysis was based on feature extraction and partial directed coherence (PDC). Results revealed that the EEG frequency bands and activated brain regions that contribute to cognitive load differed depending on the learning state. We concluded that cognitive load during multimedia learning can be assessed using feature extraction and measures of effective connectivity (PDC). © 2013 IEEE.
format Article
author Mazher, M.
Abd Aziz, A.
Malik, A.S.
Ullah Amin, H.
spellingShingle Mazher, M.
Abd Aziz, A.
Malik, A.S.
Ullah Amin, H.
An EEG-Based Cognitive Load Assessment in Multimedia Learning Using Feature Extraction and Partial Directed Coherence
author_facet Mazher, M.
Abd Aziz, A.
Malik, A.S.
Ullah Amin, H.
author_sort Mazher, M.
title An EEG-Based Cognitive Load Assessment in Multimedia Learning Using Feature Extraction and Partial Directed Coherence
title_short An EEG-Based Cognitive Load Assessment in Multimedia Learning Using Feature Extraction and Partial Directed Coherence
title_full An EEG-Based Cognitive Load Assessment in Multimedia Learning Using Feature Extraction and Partial Directed Coherence
title_fullStr An EEG-Based Cognitive Load Assessment in Multimedia Learning Using Feature Extraction and Partial Directed Coherence
title_full_unstemmed An EEG-Based Cognitive Load Assessment in Multimedia Learning Using Feature Extraction and Partial Directed Coherence
title_sort eeg-based cognitive load assessment in multimedia learning using feature extraction and partial directed coherence
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028850360&doi=10.1109%2fACCESS.2017.2731784&partnerID=40&md5=da808b5173b6ef020f0107c57512d568
http://eprints.utp.edu.my/19430/
_version_ 1738656069007179776
score 13.211869

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