artificial intelligenCE planning techniques FOR ADAPTIVE VIRTUAL COURSE construction

artificial intelligenCE planning techniques FOR ADAPTIVE VIRTUAL COURSE construction

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...

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Journal Title: DYNA. Revista de la Facultad de Minas
First author: NÉSTOR DARÍO DUQUE
Other Authors: DEMETRIO ARTURO OVALLE
Palabras clave:
Language: Spanish
Get full text: https://revistas.unal.edu.co/index.php/dyna/article/view/29389
Resource type: Journal Article
Source: DYNA. Revista de la Facultad de Minas; Vol 78, No 170 (Year 2011).
Publisher: Universidad Nacional de Colombia
Usage rights: Reconocimiento - NoComercial - SinObraDerivada (by-nc-nd)
Categories: Physical/Engineering Sciences --> Engineering, Multidisciplinary
Abstract: 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 Systemfor Adaptive Courses through a Multi-Agent System approach"), which validates the model proposed.