Deep learning for a smart e-learning system

Abstract

E-learning is the process of learning, educating, or training using web-based technologies. With the extensive use of such means, a tremendous amount of data are generated. The traditional methods of manual features engineering to collect, manage and process those data are very limited and time-consuming. Deep learning is one of the modern approaches that could automate this process in order to achieve effective smart e-learning. In this paper, we aim to introduce our personalized e-learning model that associate deep learning with process mining, in order to provide the learners with learning resources that fit their individual preferences, after giving an overview of both e-learning as an online educational system, and deep learning as a broader family of artificial intelligence.