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Erschienen in:
2010 | OriginalPaper | Buchkapitel
A Learning Social Network with Recognition of Learning Styles Using Neural Networks
verfasst von : Ramón Zatarain-Cabada, M. L. Barrón-Estrada, Viridiana Ponce Angulo, Adán José García, Carlos A. Reyes García
Erschienen in: Advances in Pattern Recognition
Verlag: Springer Berlin Heidelberg
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The implementation of an adaptive learning social network to be used as an authoring tool, is presented in this paper. With this tool, adaptive courses, intelligent tutoring systems and lessons can be created, displayed and shared in collaborative and mobile environments by communities of instructors and learners. The Felder-Silverman model is followed to tailor courses to the student’s learning style. Self Organizing Maps (SOM) are applied to identify the student’s learning style. The introduction of a social learning network to create, view and manage adaptive intelligent tutoring systems, and a novel method to identify the student’s learning style, are the contributions of this paper.