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Using multinets for learner modelling

Abstract : 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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Submitted on : Wednesday, May 4, 2016 - 3:15:48 PM
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  • HAL Id : hal-01311643, version 1


Mathieu Hibou, Jean-Marc Labat. Using multinets for learner modelling. International Conference on Artificial Intelligence in EDucation, Jul 2007, Los Angeles, United States. pp.575-577. ⟨hal-01311643⟩



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