Enhancing the learner’s performance analysis using SMEUS semantic e-learning system and business intelligence technologies

Abstract

Ontologies represent an efficient way of semantic web application on e-learning and offer great opportunity by bringing great advantages to e-learning systems. Nevertheless, despite the many advantages that we get from using ontologies, in terms of structuring the data, there are still many unresolved problems related to the difficulties about getting proper information about a learner’s behavior. Consequently, there is a need of developing tools that enable analysis of the learner’s interaction with the e-learning environment. In this paper, we propose a framework for the application of Business Intelligence (BI) and OLAP technologies in SMEUS e-learning environment. Hence, on one hand, the proposed framework will enable and support the decision-making by answering some questions related to learner’s performance, and on the other hand, will present a case study model for implementing these technologies into a semantic e-learning environment.