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DYNA

versão impressa ISSN 0012-7353

Resumo

DUQUE, NÉSTOR DARÍO  e  OVALLE, DEMETRIO ARTURO. ARTIFICIAL INTELLIGENCE PLANNING TECHNIQUES FOR ADAPTIVE VIRTUAL COURSE CONSTRUCTION. Dyna rev.fac.nac.minas [online]. 2011, vol.78, n.170, pp.70-78. ISSN 0012-7353.

This paper aims at presenting a planning model for adapting the behavior of virtual courses based on artificial intelligence techniques, in particular using not only a multi-agent system approach, but also artificial intelligence planning methods. The design and implementation of the system by means of a pedagogical multi-agent approach and the definition of a framework to specify the adaptation strategy allow us to incorporate several pedagogical and technological approaches that are in accordance with the teamwork points of view, thus providing a very concrete implementation and installation. A novel pre-planner was included that allows transparency and neutrality within the proposed model and which also offers support to translate the virtual course elements within a planning problem specification. The final section exhibits the experimental platform SICAD+ (Sistema Inteligente de Cursos ADaptativos+, meaning “Intelligent System for Adaptive Courses through a Multi-Agent System approach”), which validates the model proposed.

Palavras-chave : AI planning techniques; multi-agent systems; adaptive virtual course construction.

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