Learners' Learning Style classification related to IQ and Stress based on EEG

The importance to recognize a learner's Learning Style (LS) is ever-essential as to substantiate success in a teaching and learning process. At the same time, the learner's IQ and personality traits such as Stress also being actively investigated in educational research as educationists co...

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Main Authors: Nazre, Abdul Rashid, Mohd. Nasir, Taib, Sahrim, Lias, Norizam, Sulaiman, Zunairah, Hj. Murat, Ros Shilawani S., Abdul Kadir
Format: Article
Language:English
Published: Elsevier Ltd. 2011
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/24820/1/Learners%27%20Learning%20Style%20classification%20related%20to%20IQ%20and%20Stress%20based%20on%20EEG.pdf
http://umpir.ump.edu.my/id/eprint/24820/
https://doi.org/10.1016/j.sbspro.2011.11.339
https://doi.org/10.1016/j.sbspro.2011.11.339
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spelling my.ump.umpir.248202019-04-30T06:15:48Z http://umpir.ump.edu.my/id/eprint/24820/ Learners' Learning Style classification related to IQ and Stress based on EEG Nazre, Abdul Rashid Mohd. Nasir, Taib Sahrim, Lias Norizam, Sulaiman Zunairah, Hj. Murat Ros Shilawani S., Abdul Kadir TK Electrical engineering. Electronics Nuclear engineering The importance to recognize a learner's Learning Style (LS) is ever-essential as to substantiate success in a teaching and learning process. At the same time, the learner's IQ and personality traits such as Stress also being actively investigated in educational research as educationists consistently attempted to understand learners in a more adept way. Nevertheless, the effort was usually confined to psychoanalysis test. With the emergence of Electroencephalography (EEG) technology, learner's brain characteristics could be accessed directly and the outcome may well hand-in-hand supported the conventional test. In this study, the participants (n= 80) are grouped to the LS of Diverger, Assimilator, Converger or Accommodator using the Kolb's Learning Style Inventory (KLSI). Subsequently, their brain signals were then recorded using EEG at resting baseline state of Open Eyes and Closed Eyes. A statistical tool of SPSS 16 was used for data analysis purposes. Using the Two Step Cluster analysis, the participants’ EEG datasets were 100% classified to the corresponding LS. Then, EEG Alpha band was selected to link between LS, IQ and Stress. The study concluded that Diverger is the LS with highest IQ while Converger and Diverger are the LS that prone to Stress. Elsevier Ltd. 2011 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24820/1/Learners%27%20Learning%20Style%20classification%20related%20to%20IQ%20and%20Stress%20based%20on%20EEG.pdf Nazre, Abdul Rashid and Mohd. Nasir, Taib and Sahrim, Lias and Norizam, Sulaiman and Zunairah, Hj. Murat and Ros Shilawani S., Abdul Kadir (2011) Learners' Learning Style classification related to IQ and Stress based on EEG. Procedia - Social and Behavioral Sciences, 29. pp. 1061-1070. ISSN 1877-0428, ESSN: 1877-0428 https://doi.org/10.1016/j.sbspro.2011.11.339 https://doi.org/10.1016/j.sbspro.2011.11.339
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Nazre, Abdul Rashid
Mohd. Nasir, Taib
Sahrim, Lias
Norizam, Sulaiman
Zunairah, Hj. Murat
Ros Shilawani S., Abdul Kadir
Learners' Learning Style classification related to IQ and Stress based on EEG
description The importance to recognize a learner's Learning Style (LS) is ever-essential as to substantiate success in a teaching and learning process. At the same time, the learner's IQ and personality traits such as Stress also being actively investigated in educational research as educationists consistently attempted to understand learners in a more adept way. Nevertheless, the effort was usually confined to psychoanalysis test. With the emergence of Electroencephalography (EEG) technology, learner's brain characteristics could be accessed directly and the outcome may well hand-in-hand supported the conventional test. In this study, the participants (n= 80) are grouped to the LS of Diverger, Assimilator, Converger or Accommodator using the Kolb's Learning Style Inventory (KLSI). Subsequently, their brain signals were then recorded using EEG at resting baseline state of Open Eyes and Closed Eyes. A statistical tool of SPSS 16 was used for data analysis purposes. Using the Two Step Cluster analysis, the participants’ EEG datasets were 100% classified to the corresponding LS. Then, EEG Alpha band was selected to link between LS, IQ and Stress. The study concluded that Diverger is the LS with highest IQ while Converger and Diverger are the LS that prone to Stress.
format Article
author Nazre, Abdul Rashid
Mohd. Nasir, Taib
Sahrim, Lias
Norizam, Sulaiman
Zunairah, Hj. Murat
Ros Shilawani S., Abdul Kadir
author_facet Nazre, Abdul Rashid
Mohd. Nasir, Taib
Sahrim, Lias
Norizam, Sulaiman
Zunairah, Hj. Murat
Ros Shilawani S., Abdul Kadir
author_sort Nazre, Abdul Rashid
title Learners' Learning Style classification related to IQ and Stress based on EEG
title_short Learners' Learning Style classification related to IQ and Stress based on EEG
title_full Learners' Learning Style classification related to IQ and Stress based on EEG
title_fullStr Learners' Learning Style classification related to IQ and Stress based on EEG
title_full_unstemmed Learners' Learning Style classification related to IQ and Stress based on EEG
title_sort learners' learning style classification related to iq and stress based on eeg
publisher Elsevier Ltd.
publishDate 2011
url http://umpir.ump.edu.my/id/eprint/24820/1/Learners%27%20Learning%20Style%20classification%20related%20to%20IQ%20and%20Stress%20based%20on%20EEG.pdf
http://umpir.ump.edu.my/id/eprint/24820/
https://doi.org/10.1016/j.sbspro.2011.11.339
https://doi.org/10.1016/j.sbspro.2011.11.339
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