Overview of personalization approaches in MOOCs

Abstract

Covid-19 has been an alarming bifurcation in the last three years. Education and learning are among the areas most affected. Online learning environments are not a choice or a model for learning modernization, but it is an obligation and a unique solution to ensure educational continuity. This has led to a growing interest in MOOCs, which reveals the importance of taking into account some appropriate information to ensure learner-centered learning to overcome the requirements of the massiveness of learners and their scattering in front of the numerous services of MOOCs. Following this direction, we propose a deep study of different approaches to personalize MOOCs. Our study aims to consider affective information as one of the main personalization parameters in the learner model, to guarantee a high-quality education with a high recommendation accuracy.