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. (http://aied.inf.ed.ac.uk/members04/archive/Vol_14/Reye/Reye04.html)
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Jim Reye. Student Modelling based on Belief Networks. International Journal of Artificial Intelligence in Education (IJAIED), 2004, 14, pp.63-96. ⟨hal-00197306⟩

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