%0 Journal Article %T Student Modeling and Machine Learning %+ Department of Computer Science %+ Department of Industrial Administration %A Sison, Raymund %A Shimura, Masamichi %< avec comité de lecture %@ 1560-4292 %J International Journal of Artificial Intelligence in Education %I Springer %V 9 %P 128-158 %8 1998 %D 1998 %K machine learning %K student modelling %Z Computer Science [cs]/Technology for Human LearningJournal articles %X After identifying essential student modeling issues and machine learning approaches, this paper examines how machine learning techniques have been used to automate the construction of student models as well as the background knowledge necessary for student modeling. In the process, the paper sheds light on the difficulty, suitability and potential of using machine learning for student modeling processes, and, to a lesser extent, the potential of using student modeling techniques in machine learning. (http://aied.inf.ed.ac.uk/members98/archive/vol_9/sison/full.html) %G English %2 https://telearn.hal.science/hal-00257111/document %2 https://telearn.hal.science/hal-00257111/file/sison98.pdf %L hal-00257111 %U https://telearn.hal.science/hal-00257111 %~ TELEARN %~ TICE %~ ARINRAE-ARCHIVES %~ TEL