Summative EEG alpha classification relates learning style and openness

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 an...

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Published in:IEEE Global Engineering Education Conference, EDUCON
Main Author: Abdul Rashid N.B.; Taib M.N.B.; Hj. Murat Z.B.; S. Abd. Kadir R.S.B.; Lias S.B.; Sulaiman N.B.
Format: Conference paper
Language:English
Published: IEEE Computer Society 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903480724&doi=10.1109%2fEDUCON.2014.6826188&partnerID=40&md5=bd83a41f8326b7aeb93c60844b1f0e88
id 2-s2.0-84903480724
spelling 2-s2.0-84903480724
Abdul Rashid N.B.; Taib M.N.B.; Hj. Murat Z.B.; S. Abd. Kadir R.S.B.; Lias S.B.; Sulaiman N.B.
Summative EEG alpha classification relates learning style and openness
2014
IEEE Global Engineering Education Conference, EDUCON


10.1109/EDUCON.2014.6826188
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903480724&doi=10.1109%2fEDUCON.2014.6826188&partnerID=40&md5=bd83a41f8326b7aeb93c60844b1f0e88
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. © 2014 IEEE.
IEEE Computer Society
21659559
English
Conference paper

author Abdul Rashid N.B.; Taib M.N.B.; Hj. Murat Z.B.; S. Abd. Kadir R.S.B.; Lias S.B.; Sulaiman N.B.
spellingShingle Abdul Rashid N.B.; Taib M.N.B.; Hj. Murat Z.B.; S. Abd. Kadir R.S.B.; Lias S.B.; Sulaiman N.B.
Summative EEG alpha classification relates learning style and openness
author_facet Abdul Rashid N.B.; Taib M.N.B.; Hj. Murat Z.B.; S. Abd. Kadir R.S.B.; Lias S.B.; Sulaiman N.B.
author_sort Abdul Rashid N.B.; Taib M.N.B.; Hj. Murat Z.B.; S. Abd. Kadir R.S.B.; Lias S.B.; Sulaiman N.B.
title Summative EEG alpha classification relates learning style and openness
title_short Summative EEG alpha classification relates learning style and openness
title_full Summative EEG alpha classification relates learning style and openness
title_fullStr Summative EEG alpha classification relates learning style and openness
title_full_unstemmed Summative EEG alpha classification relates learning style and openness
title_sort Summative EEG alpha classification relates learning style and openness
publishDate 2014
container_title IEEE Global Engineering Education Conference, EDUCON
container_volume
container_issue
doi_str_mv 10.1109/EDUCON.2014.6826188
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903480724&doi=10.1109%2fEDUCON.2014.6826188&partnerID=40&md5=bd83a41f8326b7aeb93c60844b1f0e88
description 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. © 2014 IEEE.
publisher IEEE Computer Society
issn 21659559
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
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