• 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