Towards a Competence Based System for Recommending Study Materials (CBSR)

Most e-learning systems require intervention from a teacher. The development of adaptive hypermedia systems, such as intelligent tutoring systems, aimed to reduce the teachers´ task. However, such systems are still at risk of inconsistently modelling the user when estimating a learner´s knowledge level. We propose a system called CBSR (Competence based System for Recommending Study Materials) which recommends appropriate study materials from the Web without requiring teacher intervention, based upon a competency model. This has the benefit of an improved pedagogical approach to e-learning, and a more consistent profile of learners´ competences which can persist though their life.