Advertisement

Brain-Inspired e-Learning System Using EEG

  • Kiyohisa Natsume
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8228)

Abstract

English rhythm instruction materials (RIM) encourage one to learn English rhythm. In RIM, you have to speak loud following the English teacher’s song looking at the phrases of the song in the text. During the learning the power of theta band (4 - 8Hz) of electroencephalogram (EEG) increased at the frontal region. When you repeat the lesson several times, you become bored. The powers of alpha (8-14 Hz), beta (14-30 Hz) and gamma (30-50 Hz) bands started to decrease in a wide regions before the subjects felt bored. On the other hand, theta power did not change. In addition, the coherence between the two recording sites mainly the electrode pairs along the midline was significantly different comparing between before and after subjects felt bored. The coherence of theta band did not change. These results suggest that using the characteristics of EEG, e-learning system for English rhythm can be developed.

Keywords

EEG Boredom α wave β wave γ wave Coherence 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Aslanyan, E.V., Kiroy, V.N.: Electroencephalographic Evidence on the Strategies of Adaptation to the Factors of Monotony. The Spanish Journal of Psychology 12(1), 32–45 (2009)CrossRefGoogle Scholar
  2. 2.
    Katayama, T., Natsume, K.: The Change in EEG When You are Bored. J. Signal Processing 16(6), 637–641 (2012)CrossRefGoogle Scholar
  3. 3.
    Kawamoto, H.: Tiring Force. NHK Publishing Seikatsujin-Shinsyo (2010) (in Japanese)Google Scholar
  4. 4.
    Lorist, M.M., Bezdan, E., ten Caat, M., Span, M.M., Roerdink, J.B., Maurits, N.M.: The Influence of Mental Fatigue and Motivation on Neural Network Dynamics; An EEG Coherence Study. Brain Research 1270, 95–106 (2009)CrossRefGoogle Scholar
  5. 5.
    Nakano, H.: The Effect of Rhythm Instruction on Production Ability of Japanese EFL Learners. Annual Review of English Language Education in Japan 8, 81–91 (1997)Google Scholar
  6. 6.
    Nakano, H., Natsume, K.: English Rhythm Learning and Changes in EEG Using RIM with Beat. Computer & Education 13, 88–93 (2011) (in Japanese)Google Scholar
  7. 7.
    Ninomiya, K., Tetsutani, N.: A Research on “Tired” Factor Analysis Using Gaze-line Information. IEICE Tech. Rep. 109, 107–112 (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Kiyohisa Natsume
    • 1
  1. 1.Kyushu Institute of TechnologyKitakyushu CityJapan

Personalised recommendations