Personalized Learning Pathways using semantic web rules

Abstract

Information technology has the potential to greatly improve the quality of services offered by educational institutions. Personalized learning requires adaptive learning schemes since the student status and conditions inside an institution constantly change. In this paper, we present the EDUC8 (EDUCATE) system, which aims at providing a new approach concerning real-time personalization and adaptation of learning business processes. The EDUC8 system consists of a learning process execution engine supported by a semantic framework, which is based on an ontology enclosing the knowledge and the information and provides decisions and recommendations for the next steps of the learning process. Moreover, the results of the rule-set execution may create new objects that will be stored in the ontology as new knowledge1.