Enhancing Learner’s Activities through Recommendations based on Annotations

Abstract

The tendency of using the Recommender Systems (RSs) that support learners in online learning environments through individualizing their learning experiences to fit the needs of each student is increased. In this paper, we propose an approach of recommendation of web services from the annotative activity of the learner to assist him throughout learning activities. This process of recommendation is based on two preparatory phases: the phase of modeling learner’s personality profile through analysis of annotation digital traces in learning environment realized via a profile constructor module and the phase of discovery of web services which can meet the goals of annotations made by the learner via the web service discovery module. The evaluation of these two main modules (web service discovery module & profile constructor module) through empirical studies realized on groups of learners based on the Student’s t-test showed significant results.