Intelligent Adapted e-Learning System based on Deep Reinforcement Learning

Today, E-Learning platforms are getting more popularity and relevance between educational institutions such as open and distance universities and research institutes. But unfortunately, these platforms present yet unsolved problems, due to the absence of face-to-face interaction. Distance formation instructors have real difficulties recognizing who their students are, understanding their student's behaviors in the virtual course, what's possibilities they have to achieve the subject, what complications they find. Basically, they require having a reply which assists them to increase the learning/teaching process. So, it is necessary to develop an intelligent and adapted learning strategy based on the recommendation system that helps professors to do their work efficiently.