Classification system of learners engagement within Massive Open Online Courses

Engagement is one of the important key of success in academic process, the present article aims to model the classification system of learners in Massive Open Online Course (MOOC) based on their engagement levels. In this scope, our mission is to define the notion of engagement as well as establish its different levels. This will enable us to present an approach based on indicators measurement with the application of the k-means clustering classification algorithm, in order to group the learners depending on their engagement level, which will help tutors and developers to take good decisions and minimize the dropout rate.