Learning Analytics Pour l’Évaluation des Performances Académiques des Apprenants

Abstract

Digital Learning Analytics is the collection, analysis and interpretation of data on student learning activities. The analysis of this data makes it possible to generate useful information on the behavior of the learners, their interactions with the educational content and their progress. This work aims to improve the performance of learners in a distance learning environment by analyzing learning data or traces left behind by learners during the performance of their educational activities. To achieve this, an online learning platform (EPAA : Analysis of Academic Performance of Learners) was implemented to collect and analyze learning data. Dashboards were used to visualize the training data to be able to draw conclusions. Based on the analyzed data, recommendations are sent to learners in the form of notifications. Statistics made on the learning process are sent to teachers in the form of dashboards so that they can react and make the necessary updates