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dc.contributor.authorNazre, Abdul Rashid
dc.contributor.authorMohd Nasir, Taib, Prof. Dr.
dc.contributor.authorSahrim, Lias
dc.contributor.authorNorizam, Sulaiman
dc.contributor.authorZunairah, Hj Murat
dc.contributor.authorRos Shilawani, S. Abdul Kadir
dc.date.accessioned2012-10-18T08:39:08Z
dc.date.available2012-10-18T08:39:08Z
dc.date.issued2012-02-27
dc.identifier.citationp. 470-474en_US
dc.identifier.isbn978-145771989-9
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179061
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/21425
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.org/en_US
dc.description.abstractStudents’ Learning Style (LS) had been recognized as a major component in a teaching and learning. The successful execution of teaching and learning could be improved by taking into consideration the students’ LS. On the other hand, Vigilance or sustained attention is a personality trait that student should possess in order to experience quality learning. In this research, the Kolb’s Learning Style Inventory (KLSI) and Electroencephalogram (EEG) were used to verify participants’ LS and Vigilance. 41 students’ LS were grouped into Diverging, Assimilating, Converging or Accommodating style using KLSI. Then, their brain waves were recorded whereby the Vigilance indices and Asymmetry Relational Ratio (ARR) formula had been adopted to analyze the EEG. The finding shows that Diverging is the Vigilance-bound LS.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesProceedings of the International Conference on Biomedical Engineering (ICoBE 2012)en_US
dc.subjectLearning style (LS)en_US
dc.subjectVigilanceen_US
dc.subjectElectroencephalogram (EEG)en_US
dc.subjectLearning Style (LS) groupingen_US
dc.titleDetermination of Vigilance-bound Learning Style based on EEGen_US
dc.typeWorking Paperen_US
dc.contributor.urlnazre@fskik.upsi.edu.myen_US
dc.contributor.urldr.nasir@ieee.orgen_US


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