• DocumentCode
    2565070
  • Title

    EEG theta and Alpha asymmetry analysis of neuroticism-bound Learning Style

  • Author

    Rashid, Nazre Abdul ; Taib, Mohd Nasir ; Lias, Sahrim ; Sulaiman, Norizam Bin ; Murat, Zunairah Hj ; Kadir, Ros Shilawani S Abdul

  • Author_Institution
    Fac. of Arts, Comput. & Creative Ind., Univ. Pendidikan Sultan Idris, Tanjong Malim, Malaysia
  • fYear
    2011
  • fDate
    7-8 Dec. 2011
  • Firstpage
    71
  • Lastpage
    75
  • Abstract
    Students Learning Style (LS) and Personality Traits have been considered as a major components in education domain. The success of teaching and learning could be enhanced by considering the learners´ preferred LS. On the other hand, Neuroticism is one of the traits that could shed some light on the learners´ well-being. In this study, the participants´ LS and Neuroticism attribute were investigated using Kolb´s Learning Style Inventory (KLSI) and Electroencephalogram (EEG). First, The participants´ (N=41) LS were classified using KLSI which grouped them into Diverger, Assimilator, Converger or Accommodator style. Subsequently, their brain signals were recorded whereby the Theta band and Asymmetry Relation Ratio (ARR) of Alpha band were chosen for analysis using the SPSS 2Step Cluster Analysis. Assimilator was found as the Neuroticism-bound LS.
  • Keywords
    electroencephalography; neurophysiology; pattern clustering; psychology; statistical analysis; EEG alpha asymmetry analysis; EEG theta asymmetry analysis; KLSI; Kolb Learning Style Inventory; accommodator style; assimilator style; asymmetry relation ratio; converger style; diverger style; electroencephalography; neuroticism bound learning style; student learning style; student personality traits; Brain models; Electroencephalography; Instruments; Clustering; EEG; Learning Style; Neuroticism;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering Education (ICEED), 2011 3rd International Congress on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4577-1258-6
  • Type

    conf

  • DOI
    10.1109/ICEED.2011.6235363
  • Filename
    6235363