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Student Modelling based on Belief Networks

Abstract : Belief networks provide an important way to represent and reason about uncertainty – significant factors for modelling students. These networks provide a way of structuring such models, and allow a system to use a systematic approach when gathering information about the scope of the student's knowledge. This work also provides a theoretically-sound way to update the student model, based on the concept of a dynamic belief network. The relationship to related research is discussed. Finally, the paper describes why the barren node concept is important for computational efficiency in belief-net-based student models. (
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Submitted on : Friday, December 14, 2007 - 2:58:48 PM
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  • HAL Id : hal-00197306, version 1



Jim Reye. Student Modelling based on Belief Networks. International Journal of Artificial Intelligence in Education, Springer, 2004, 14, pp.63-96. ⟨hal-00197306⟩



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