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http://dx.doi.org/10.7465/jkdi.2015.26.1.55

Brain laterality and whole brain EEG on the learning senses  

Kwon, Hyungkyu (Department of Education, Kyungsung University)
Publication Information
Journal of the Korean Data and Information Science Society / v.26, no.1, 2015 , pp. 55-64 More about this Journal
Abstract
The present study identified the brain based learning activities on the individual learning senses by using the brain laterality and the whole brain index. Students receive the information through the visual, auditory, and kinesthetic senses by Politano and Paquin's (2000) classification. These learning senses are reflected on brain by the various combinations of senses for learning. Measuring the types of the learning senses involving in brain laterality and whole brain is required to figure out the related learning styles. Self-directed learning involved in the learning senses shows the problem-based learning associated to the brain function by emphasizing the balanced brain utilization which is known as whole brain. These research results showed the successful whole brain learning is closely associated with elevated auditory learning and elevated visual learning in sensorimotor brainwave rhythm (SMR) while it shows the close association with elevated kinesthetic and elevated visual learning in beta brainwave rhythm.
Keywords
Auditory learner; beta rhythm; brain laterality; kinesthetic learner; sensorimotor rhythm; visual learner; whole brain;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 Breiman, L., Friedman, J., Olshen, R. and Stone, C. (1984). Classification and regression trees, Wadsworth, Monterey, CA, USA.
2 Denno, D. W. and Nachshon, I. (1987). Violent behavior and cerebral hemisphere function, the causes of crime, Cambridge University Press, New York.
3 Lee, M. S., Park, C. and Nam, J. H. (2013). Importance of sport emotional intelligence on sports psychological skills and sports emotion among athletes. Journal of the Korean Data & Information Science Society, 24, 355-368.   과학기술학회마을   DOI   ScienceOn
4 Fischer, K. W. (2008). Dynamic cycles of cognitive and brain development: Measuring growth in mind, brain, and education. The Educated Brain; Essays in Neuroeducation, edited by A. M. Battor, K. W. Fischer and P. J. Lena, Cambridge University Press, New York.
5 Kwon, H. K (2011). Brainwave activities of the cognitive individual differences in computerized arithmetic addition by implicit association test. Journal of Korea Association of Information Education, 15, 635-644.   과학기술학회마을
6 Kwon, H. K. and Cho, J. S. (2007). Homogeneity analysis for the SMR brainwave by the functional laterlization of the brain based on the science learning methods. Journal of the Korean Data & Information Science Society, 18, 721-733.
7 Kwon, H. K. and Fischer, K. (2013). Neurological brain technology for learning. Proceedings of the 10th International Conference and Expo on Emerging Technologies for a Smarter World, 22-23.
8 Kwon, J. R. (2007). Learning senses in teaching and learning mathematics. Journal of the Korean Society of Mathematical Education C: Education of Primary School Mathematics, 10, 1-13.   과학기술학회마을
9 Kwon, Y. J. and Lawson, A. E. (1999). Why do most science educator encourage to teach school science through lab-based instruction: A neurological explanation. Journal of Research in Science Teaching, 19, 29-40.
10 Jasper, H. H. (1958). The ten twenty electrode system of the international federation. Electroencephalography and Clinical Neurophysiology, 10, 371-375.
11 Kass, L. R. (1980). Ethical dilemmas in the care of the III: II. What is the patient's good? The Journal of the American Medical Association, 244, 1946-1949.   DOI   ScienceOn
12 Park, S. H. (2000). A study on the relationships between brain laterality and crativity. Journal of Educational Psychology, 14, 31-56.
13 Politano, C. and Paquin, J. (2000). Brain-based learning with class, Portage & Main Press, Winnipeg, MB, Canada.
14 Yang, Y., Raine, A., Lencz, T., Bihrle, S., LaCasse, L. and Colletti, P. (2005). Volume reduction in prefrontal gray matter in unsuccessful criminal psychopaths. Biological Psychiatry, 57, 1103-1108.   DOI   ScienceOn