Theoretical Model for Interplay between Some Learning Situations and Brainwaves

  • Alicia Heraz
  • Claude Frasson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6095)


There is interplay between brainwaves and learning. To describe and understand part of this complex interaction, this paper proffers a new learner model called the LBD Model (or Learning and Brainwaves Dominances Model). Twenty-three participants were recruited to validate this Model. Results show distinct instances of the LBD Model regarding three situations of learning: positive learning, unconscious learning and unlearning.


Intelligent Tutoring System Brainwaves Learner Model Learning Situations 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Anderson, J.R.: Tailoring Assessment to Study Student Learning Styles. American Association for Higher Education (2001)Google Scholar
  2. 2.
    D’Mello, S.K., Graesser, A.C.: Automatic Detection of Learner’s Affect from Gross Body Language. Applied Artificial Intelligence 23, 123–150 (2009)CrossRefGoogle Scholar
  3. 3.
    Heraz, A., Daouda, T., Frasson, C.: Decision Tree for Tracking Learner’s Emotional State predicted from his electrical brain activity. In: ICITS 2008, Montréal, Canada (2008)Google Scholar
  4. 4.
    Heraz, A., Razaki, R., Frasson, C.: Using machine learning to predict learner emotional state from brainwaves. In: ICALT 2007, Niigata, Japan (2007)Google Scholar
  5. 5.
    Heraz, A., Frasson, C.: Predicting the Three Major Dimensions of the Learner’s Emotions from Brainwaves. International Journal of Computer Science (2007)Google Scholar
  6. 6.
    Nkambou, R., Héritier, V.: Facial expression analysis for emotion recognition in ITS. In: ITS 2004 workshop on Emotional Intelligence Proceedings (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Alicia Heraz
    • 1
  • Claude Frasson
    • 1
  1. 1.HERON Lab, Computer Science DepartmentUniversity of MontréalMontréalCanada

Personalised recommendations