Paper Info
Title
Motivation System and Human Model for Intelligent Tutoring
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.
Year
DOI
Venue
1996
10.1007/3-540-61327-7_110
Intelligent Tutoring Systems
Keywords
Field
DocType
motivation system,human model,intelligent tutoring,genetic algorithm,membership function
Praise,Neuro-fuzzy,Computer science,Fuzzy logic,Knowledge management,Artificial intelligence,ID3,Knowledge acquisition,Genetic algorithm,Machine learning,Fuzzy rule
Conference
ISBN
Citations 
PageRank 
3-540-61327-7
7
7.18
References 
Authors
1
2
Name
Order
Citations
PageRank
Yukihiro Matsubara11511.62
Mitsuo Nagamachi26619.26