A framework for creating, training, and testing self-organizing maps for recognizing learning styles

Authors:
Ramón Zatarain-Cabada;M. L. Barrón-Estrada;Viridiana Ponce Angulo;Adán José García;Carlos A. Reyes García
Affiliations:
Instituto Tecnológico de Culiacán, Culiacán, Sinaloa, México;Instituto Tecnológico de Culiacán, Culiacán, Sinaloa, México;Instituto Tecnológico de Culiacán, Culiacán, Sinaloa, México;Instituto Tecnológico de Culiacán, Culiacán, Sinaloa, México;Instituto Nacional de Astrofísica, Óptica y Electrónica, Puebla, México
Venue:
Edutainment'10 Proceedings of the Entertainment for education, and 5th international conference on E-learning and games
Year:
2010

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Abstract

In this paper, we present a framework used for creating, training, and testing SOM neural networks, which are used to recognize student learning styles under different pedagogical models. The SOMs are part of the student model of Intelligent Tutoring Systems we implemented for mobile devices and Web-based Learning Systems. The main contribution of this paper is the framework to build SOMs which can be used with any pedagogical model of learning styles. The SOM network produced with our framework has been tested with mobile devices and a system of web-based learning.