  In this paper we propose a model to study the appropriation of knowledge of
one student in a non-collaborative online class. We formulate a stochastic
model based on the quality of the teacher's class and the affinity of the
student to understand the sessions, under the assumption that previous sessions
have some influence in the understanding of the next sessions. This assumption
implies that the process is not even a Markov process. This kind of situation
appears in seminars and classes with many different sessions. We derive some
recursive expressions for the distribution of the number of sessions that the
student comprehends. Furthermore, we study the convergence of this distribution
and study the speed of this convergence through some numerical examples.
