Machine Learning and Deep Learning applications in E-learning Systems: A Literature Survey using Topic Modeling Approach

Abstract

E-learning has been one of the major trends in education and its becoming an attracting topic in the field of artificial intelligence and its subfields like machine learning and deep learning, that are considered the most promising technologies in our era where its application score is almost unlimited. Many researchers are showing interest in the topic with significant research results. The aim of this paper is to extract the applications of machine learning and deep learning in E-learning systems. In this work we collected research papers from five research databases: Springer Link, Science Direct, Scopus, IEEE Digital Library, and Web of Science for a topic modeling application using a machine learning technique known as Latent Dirichlet Allocation (LDA).