%0 Journal Article %T Student Modelling based on Belief Networks %+ School of Information System %A Reye, Jim %< avec comité de lecture %@ 1560-4292 %J International Journal of Artificial Intelligence in Education %I Springer %V 14 %P 63-96 %8 2004 %D 2004 %K student modelling %K probabilistic models %Z Computer Science [cs]/Technology for Human LearningJournal articles %X 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) %G English %2 https://telearn.hal.science/hal-00197306/document %2 https://telearn.hal.science/hal-00197306/file/Reye04.pdf %L hal-00197306 %U https://telearn.hal.science/hal-00197306 %~ TELEARN %~ TICE %~ TEL