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An Intelligent Tutoring System with Motivation Diagnosis and Planning

byIISLab 2012.03.19 06:17
저자 Taebok Yoon, Jee-Hyong Lee 
학회명 IEEE International Conference on Consumer Electronics 
학회명 (약자) ICCE 2007 
pp.  
학회시작일 2007-11-05 
학회종료일 2007-11-09 
비고  
Motivation is a paramount factor to student success in learning. Although it is well known that the learner’s motivation and emotional state in educational contexts are very important, they have not been fully addressed in intelligent tutoring systems (ITS). In this paper, a method for integrated motivation diagnosis and motivational planning is described in a manner applied to an operable system. For the motivational diagnosis rules, three different channels of data (performance from interaction with the system, self-report, and answer to system action) are combined. For the motivational planning rules, four different strategies (different learning process according to the motivational state, helps suggestion, different teaching strategies, arousal questions/system actions) are combined. By applying the mechanisms, a tutoring 
system with motivation diagnosis using fuzzy logic and motivational planning has been implemented.  
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