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.
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