DocumentCode :
2565070
Title :
EEG theta and Alpha asymmetry analysis of neuroticism-bound Learning Style
Author :
Rashid, Nazre Abdul ; Taib, Mohd Nasir ; Lias, Sahrim ; Sulaiman, Norizam Bin ; Murat, Zunairah Hj ; Kadir, Ros Shilawani S Abdul
Author_Institution :
Fac. of Arts, Comput. & Creative Ind., Univ. Pendidikan Sultan Idris, Tanjong Malim, Malaysia
fYear :
2011
fDate :
7-8 Dec. 2011
Firstpage :
71
Lastpage :
75
Abstract :
Students Learning Style (LS) and Personality Traits have been considered as a major components in education domain. The success of teaching and learning could be enhanced by considering the learners´ preferred LS. On the other hand, Neuroticism is one of the traits that could shed some light on the learners´ well-being. In this study, the participants´ LS and Neuroticism attribute were investigated using Kolb´s Learning Style Inventory (KLSI) and Electroencephalogram (EEG). First, The participants´ (N=41) LS were classified using KLSI which grouped them into Diverger, Assimilator, Converger or Accommodator style. Subsequently, their brain signals were recorded whereby the Theta band and Asymmetry Relation Ratio (ARR) of Alpha band were chosen for analysis using the SPSS 2Step Cluster Analysis. Assimilator was found as the Neuroticism-bound LS.
Keywords :
electroencephalography; neurophysiology; pattern clustering; psychology; statistical analysis; EEG alpha asymmetry analysis; EEG theta asymmetry analysis; KLSI; Kolb Learning Style Inventory; accommodator style; assimilator style; asymmetry relation ratio; converger style; diverger style; electroencephalography; neuroticism bound learning style; student learning style; student personality traits; Brain models; Electroencephalography; Instruments; Clustering; EEG; Learning Style; Neuroticism;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering Education (ICEED), 2011 3rd International Congress on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-1258-6
Type :
conf
DOI :
10.1109/ICEED.2011.6235363
Filename :
6235363
Link To Document :
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