Using Multinets for Learner Modelling

Authors:
Mathieu Hibou;Jean-Marc Labat
Affiliations:
Crip5 Université René Descartes --Paris 5, 45 rue des Saints-Pères 75270 Paris Cedex 06 France, mathieu.hibou@math-info.univ-paris5.fr;LIP6 Université Pierre et Marie Curie --Paris 6, France, jean-marc.labat@upmc.fr
Venue:
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Year:
2007

Citing 4
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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.