An Ontology-driven Architecture for Intelligent Tutoring Systems with an Application to Learning Object Recommendation

Abstract

The state-of-the-art in Artificial Intelligence (AI), the Internet, and the computational power reached by current technologies, allow much more advanced thinking about Intelligent Tutoring Systems than their original definition. The KEPLAIR project envisions an online platform, designed to help all players involved in educational endeavors, especially learners, to improve performance and effectiveness of their activities. Using leading edge AI solutions, KEPLAIR will act as a personalized assistant, helping its users in the entire educational experience, from goal elicitation through learning path definition, selection of materials, performance/attainment testing, analytics and report building. This paper introduces the architecture and functionalities of KEPLAIR as well as illustrating a new methodology for Learning Object (LO) suggestion based on personal profile information.