  Studies on massive open online courses (MOOCs) users discuss the existence of
typical profiles and their impact on the learning process of the students.
However defining the typical behaviors as well as classifying the users
accordingly is a difficult task. In this paper we suggest two methods to model
MOOC users behaviour given their log data. We mold their behavior into a Markov
Decision Process framework. We associate the user's intentions with the MDP
reward and argue that this allows us to classify them.
