Simple Human Emotions Modeling Oriented to Human Learning: A Brain Computer Simulation

By Sergio Ledesma, Jose Ruiz Pinales, Ma Guadalupe Garcia and Francisco Elizalde.

Published by Ubiquitous Learning: An International Journal

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Article: Print $US10.00
Article: Electronic $US5.00

The human brain receives input from internal and external sources. Internal sources include body signaling like hunger, cold, need for urination, etc. On the other hand, external sources include conversations with other students (or family members), school related activities, surrounding objects, etc. Students tend to process these inputs using several scheduling algorithms. Emotions play an important role in how humans interact with others and their environment. As emotions provide clear information about how likely a task will be completed before it loses its activation, a scheduling algorithm based on emotions is proposed. Because the level of activation of a thought decreases with time, and because humans may forget to complete a task if the level of activation is low, it is important to switch among several tasks to keep their activations high. Clearly, when a student is working on a specific assignment, the activation of it rises. However, this processing will activate other regions of memory, and forgotten uncompleted assignments may gain enough activation. Computer simulations are used to demonstrate how students tend to keep their emotions positive. Finally, it is concluded that human learning can be improved if one specific case of study is used in several courses. In this situation, the student learns specific information that is being used simultaneously in several courses. This has the advantage of helping the students to keep the matter of the current case of study active. As the proposed model includes human emotions in the learning process, the simulations show how the student may feel good or bad while experiencing school activities.

Keywords: Emotions, Learning, Computer Simulation

Ubiquitous Learning: An International Journal, Volume 3, Issue 2, pp.125-138. Article: Print (Spiral Bound). Article: Electronic (PDF File; 651.072KB).

Dr. Sergio Ledesma

Professor / Researcher, School of Engineering, Department of Electrical and Computer Engineering, University of Guanajuato, Salamanca, Guanajuato, Mexico

Sergio Ledesma received his Ph.D. in 2001 from Stevens Institute of Technology from the Department of Electrical and Computer Engineering. He currently holds a professor and researcher position at the School of Engineering from the University of Guanajuato. He is the author of the software Neural Lab to simulate artificial neural networks and Wintempla to develop Win32 applications. He worked as software engineering in the United States for Barclays Global Investors and other fines corporations. His main interests are: neural networks and artificial intelligence.

Jose Ruiz Pinales

University of Guanajuato, Salamanca, Guanajuato, Mexico

Ma Guadalupe Garcia

University of Guanajuato, Salamanca, Guanajuato, Mexico

Francisco Elizalde

University of Guanajuato, Salamanca, Guanajuato, Mexico