DocumentCode
148421
Title
Summative EEG alpha classification relates learning style and openness
Author
Bin Abdul Rashid, Nazre ; Bin Taib, Mohd Nasir ; Binti Hj Murat, Zunairah ; binti S. Abd Kadir, Ros Shilawani ; Bin Lias, Sahrim ; Bin Sulaiman, Norizam
Author_Institution
Comput. Dept., Sultan Idris Educ. Univ., Tanjong Malim, Malaysia
fYear
2014
fDate
3-5 April 2014
Firstpage
807
Lastpage
810
Abstract
Learning Style (LS) had been drawn as one of the important domains in a learner´s profile. It was considered relevance to different aspects of teaching and learning such as achievement and motivation. On the other hand, Openness has been interpreted as a major trait which linked to knowledge and skill acquisition which linked to learner differences. In this research the relation between LS and Openness is studied as to underline a substantive learners´ profile. Kolb´s Learning Style Inventory (KLSI) had been employed to determined participants´ (N= 131) LS of Diverger, Assimilator, Converger or Accommodator. Then, Electroencephalogram (EEG) technology was utilized to gather their brain signals. The signals dataset of Alpha band is selected, processed and classified towards the corresponding LS using SPSS 2-Step Cluster Analysis. The result shown 100% classification of brain signals towards LS achieved while Accommodator found as the LS that related to Openness.
Keywords
electroencephalography; medical signal processing; pattern clustering; signal classification; statistical analysis; EEG alpha classification; Kolb´s Learning Style Inventory; SPSS 2-step cluster analysis; accommodator; assimilator; brain signal classification; converger; diverger; electroencephalogram technology; openness; Conferences; Cultural differences; Decision support systems; Engineering education; Hafnium; Clustering; EEG; Learning Style; Openness;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Engineering Education Conference (EDUCON), 2014 IEEE
Conference_Location
Istanbul
Type
conf
DOI
10.1109/EDUCON.2014.6826188
Filename
6826188
Link To Document