Résumé:
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
