Appraisal of EEG Beta summative power towards Learning Style classification

Author

bin Abdul Rashid, Nazre ; bin Taib, Mohd.Nasir ; Murat, Zunairah binti Hj. ; Kadir, Ros Shilawani binti S.Abd. ; bin Lias, Sahrim ; bin Sulaiman, Norizam

Author_Institution

Computing Department, Faculty of Arts, Computing and Creative Industry, Sultan Idris Education University, 35900, Tg. Malim, Perak, Malaysia

fYear

2015

fDate

30-31 March 2015

Firstpage

1

Lastpage

5

Abstract

Advancement in Neuroscience namely EEG technology had been serving in education-related research with immense contributions. On the other hand, Learning Style (LS) had emerged as an important study in education frontier. In this research, the classification of participants (N=131) LS is implemented using EEG Beta Summative Power Spectrum Density (PSD) and Kolb´s Learning Style Inventory questionnaire. The LS clustering process with EEG Beta Summative PSD dataset is fulfilled using SPSS Two-steps Cluster Analysis tool. The findings established that EEG Beta Summative power had been successful in classifying the LS with high percentage obtained. Meanwhile, the classification dissimilarity caused by EEG Beta Summative PSD in different construct was considered as minimal and Accommodators had been discovered as the best LS classified using EEG Beta Summative PSD.

Keywords

Biomedical engineering; Decision support systems; Classification; EEG; Learning Style; PSD;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering (ICoBE), 2015 2nd International Conference on

Conference_Location

Penang, Malaysia

Type

conf

DOI

10.1109/ICoBE.2015.7235124

Filename

7235124