Building and assessing intelligent tutoring systems with an e-learning 2.0 authoring system

Authors:
M. L. Barrón-Estrada;Ramón Zatarain-Cabada;Rosalío Zatarain-Cabada;Hector Barbosa-León;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 Colima, Colima, México;Instituto Nacional de Astrofísica, Óptica y Electrónica, Puebla, México
Venue:
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Year:
2010

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Abstract

Knowledge Societies also named Social Learning Networks (SLN) allow interaction and collaboration between individuals (instructors and students), who share their connections under a scheme of learning communities around common learning interest. In this paper, we present Zamná, a Knowledge Society implemented as an adaptive learning social network. A community of Instructors and Learners can create, display, share and assess communities, intelligent tutoring systems or adaptive courses in a collaborative environment. The communities and courses are tailored to the student's learning style according to the learning style model of Felder-Silverman. The identification of community's and student's learning style is performed using self-organizing maps. The main contribution of this paper lies at the integration of Artificial Intelligence with SLN.