As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
In this paper we shall introduce a new conceptual model for learner modelling based on multinets, which are Bayesian networks mixture. This conceptuel model makes it possible to take into account in a single student model different Bayesian networks, with the same nodes but different structures. We also present experiemental results obtained with real students data.