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:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/24820/ http://umpir.ump.edu.my/id/eprint/24820/ http://umpir.ump.edu.my/id/eprint/24820/ http://umpir.ump.edu.my/id/eprint/24820/1/Learners%27%20Learning%20Style%20classification%20related%20to%20IQ%20and%20Stress%20based%20on%20EEG.pdf

id	ump-24820
recordtype	eprints
spelling	ump-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
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
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/ http://umpir.ump.edu.my/id/eprint/24820/ http://umpir.ump.edu.my/id/eprint/24820/ http://umpir.ump.edu.my/id/eprint/24820/1/Learners%27%20Learning%20Style%20classification%20related%20to%20IQ%20and%20Stress%20based%20on%20EEG.pdf
first_indexed	2023-09-18T22:37:48Z
last_indexed	2023-09-18T22:37:48Z
_version_	1777416712430288896

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

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