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A General Knowledge Representation Model for the Acquisition of Skills and Concepts
Abstract
A cognitive model for skills and concepts representation as well as a proposal for its computational implementation is presented in this paper. The model is intended to help bridge some of the natural problems that arise in current massive education models through the adaptation and personalization of learning environments. The model is capable of representing rich semantic knowledge, including both skills and concepts, while integrating them through a coherent network of role based associations. The associations build an ontology that integrates on itself different domain taxonomies to represent the knowledge acquired by a student keeping relevant context information. The model is based on a constructivist approach.
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