1: Department of Computer Science — Tokyo Institute of Technology 2: Department of Industrial Administration — Science University of Tokyo
Appears in:
International Journal of Artificial Intelligence in Education (IJAIED) 9 (1998) 128-158
Abstract:
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.
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