Identification of Felder-Silverman learning styles with a supervised neural network

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:
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
Year:
2010

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Abstract

In this paper, we present an intelligent tool implemented as a learning social network. An author can create, display, and share lessons, intelligent tutoring systems and other components among communities of learners in web-based and mobile environments. The tutoring systems are tailored to the student's learning style according to the model of Felder-Silverman. The identification of the student's learning style is performed using self-organizing maps. The main contribution of this paper is the implementation of a learning social network to create, view and manage adaptive and intelligent tutoring systems using a new method for automatic identification of the student's learning style. We present the architecture of the social network, the method for identifying learning styles, and some experiments made to the social network.