CG-PerLS: Conceptual Graphs for Personalized Learning Systems

F. Kokkoras, D. Sampson, I. Vlahavas, “CG-PerLS: Conceptual Graphs for Personalized Learning Systems”, Proc. 8th Panhellenic Conference on Informatics, Livani Publishing Organization, Vol. 2, pp. 531-540, Nicosia, Cyprus, 2001.

Proc. 8th Panhellenic Conference on Informatics, Livani Publishing Organization, Vol. 2, pp. 531-540, Nicosia, Cyprus, 2001.

Two of the most important standardization efforts for e-learning technologies are related to the definition of metadata describing educational resources and metadata describing the learner’s profile. The internal details of systems that utilize these metadata is still an open issue since these efforts are primarily dealing with “what” and not “how”. Under the light of these emerging efforts, we present CG-PerLS, a knowledge based approach for organizing and accessing educational resources. CG-PerLS is a model of a WWW portal for learning objects that encodes the learning technologies metadata in the Conceptual Graph knowledge representation formalism, and uses related inference techniques to provide advanced, personalized functionality. CG-PerLS allows learning resource creators to manifest their material, client-side learners to access these resources in a way tailored to their individual profile and educational needs, and dynamic course generation based on fine or coarse grained educational resources.