Learning management system based on SCORM, agents and mining

Authors:
Carlos Cobos;Miguel Niño;Martha Mendoza;Ramon Fabregat;Luis Gomez
Affiliations:
Systems Department, University of Cauca, Colombia;Systems Department, University of Cauca, Colombia;Systems Department, University of Cauca, Colombia;Institute of Informatics and Applications, University of Girona, Spain;Systems and Computing Engineering School, Industrial University of Santander, Colombia
Venue:
WISE'07 Proceedings of the 8th international conference on Web information systems engineering
Year:
2007

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Abstract

Based on SCORM sequencing and navigation specifications, a learning management system has been developed. The system has intelligent tutoring system capabilities that allow contents, presentation and navigation to be adapted according to the learner's requirements. In order to achieve that development, two concepts were put together: multi-agent systems and data mining techniques (especially the ID3 algorithm). All the implementation code was developed in VS. Net, which implied building a supporting framework for agents. The results of a pilot test were favorable.