Abstract
In this paper, we focus on the student's “motivation level” in his learning situation, and we propose the ergonomic design of ITS framework as the motivation system. The aim of this system is motivating the student for his/her learning process to give the appropriate encouragement, praise or reproach messages. It is important to represent the student's internal psychological state. Therefore, we propose the human model which consists of several element for pshycological characteristics and prepares the fuzzy if-then rules to infer the message policy as the adequate strategy knowledge. In general, it is difficult to identify the fuzzy if-then rules and membership functions, so we introduce the automatic fuzzy rule acquisition system, called FREGA, which is our new knowledge acquisition system combining ID3 method and Genetic Algorithm. Finally, we give the estimation of this system.
This work is supported in part by Grand-in-Aid for Scientific Research 07780162 from the Ministry of Education, Science and Culture
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Matsubara, Y., Nagamachi, M. (1996). Motivation system and human model for intelligent tutoring. In: Frasson, C., Gauthier, G., Lesgold, A. (eds) Intelligent Tutoring Systems. ITS 1996. Lecture Notes in Computer Science, vol 1086. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61327-7_110
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DOI: https://doi.org/10.1007/3-540-61327-7_110
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