PREDICTING FACTORS AFFECTING STUDENT’S PERFORMANCE IN A LEARNING MANAGEMENT SYSTEM

Abstract

Throughout the last years, the Online Learning Platforms have experienced a great success due to their power to offer accessible content and innovative Learning Strategies who Respect the rhythm of learning of each learners. These educational environments handle a large amount of information, which generates a large amount of data to be explored, in order to increase the performance of the various educational actors. This article discusses the evolution of Educational Data Mining and reviews different exploration tools and powerful prediction algorithms that will help in a pertinent Data visualisation and Analysis in the way to Predict and classify the most important Factors Affecting student’s performance and success in a Learning management system.