Motivation system and human model for intelligent tutoring

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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.

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Matsubara, Y., & Nagamachi, M. (1996). Motivation system and human model for intelligent tutoring. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1086, pp. 139–147). Springer Verlag. https://doi.org/10.1007/3-540-61327-7_110

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