The Impact of Music on Learning Brainwaves

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Human behavior pattern is mainly dictated by cerebral activities called brain wave. Brain wave carries messages to all parts of the body and controls thought and behavior. Modern neuroscientists have divided brain wave into 4 different frequency sub-bands:δ (Delta)、θ (Theta)、α (Alpha)、and β (Beta) in order of frequency. Each sub-band has its own special physiological meaning and characteristic. This research from the perspective of cognitive neuroscience investigates how listening to different styles of music can influence learners ’learning activity. The experiment is conducted by having the subjects listening to different styles of piano music while performing logical reasoning at the same time. In addition, during the experiment, the variation of subject’s brain wave characteristic band with respect to different styles of music is recorded and analyzed. A learning brain wave energy formula is developed to compare the effects of different styles of music to the learning. The research result shows some specific styles of music have a positive effect in enhancing learning energy and improve learners learning efficiency.

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339-344

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June 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Albright, T. D. & Neville, H. J., Neurosciences. MITECS: li-lxxii. http: /cognet. mit. edu/MITECS/Articles/neurointro. html , (1999).

DOI: 10.7551/mitpress/4660.003.0006

Google Scholar

[2] Eysenck, Michael W. & Keane, Mark T., Cognitive Psychology: A Student's Handbook.

Google Scholar

[3] Atkinson, R. C. & Shffirn, R. M., Human memory: A propowed system and its control processes, In K. W. Spence & J. T. Spence (Eds), Advances in the psychology of learning and motivation research and theory (Vol. 2), New York: Academic Press, (1968).

Google Scholar

[4] Gagne, R. M., The condition of learning (4th ed. ), New York: Holt Rinehart & Winston, (1985).

Google Scholar

[5] Jensen, E. P., Brain-based learning: The new paradigm of teaching, Thousand Oaks, CA: Corwin Press, (2008).

Google Scholar

[6] J. G. Webster, Electroencephalography: Brain electrical activity, Encyclopedia of medical devices and instrumentation, Vol. 2, pp.1084-1107, (1988).

Google Scholar

[7] Hu, M. M., Physiology, Ho-Chi Book Publishing Co., (1991).

Google Scholar

[8] N. Schaul, The Fundamental Neural Mechanisms of Electroencephalography, Electroencephalography and clinical. Neurophysiology, Vol. 106, pp.101-107, (1998).

DOI: 10.1016/s0013-4694(97)00111-9

Google Scholar

[9] Guan, S.Y., EEG Explanation, Yi-Hsien Publishing Co., (2002).

Google Scholar

[10] F. C. Kao and J. H. Jhong, Analysis of Brainwave Characteristic Frequency Bands for Logic Reasoning, Applied Mechanics and Materials, Vol. 145, pp.470-474 (2012).

DOI: 10.4028/www.scientific.net/amm.145.470

Google Scholar