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Learning Styles Diagnosis Based on User Interface Behaviors for the Customization of Learning Interfaces in an Intelligent Tutoring Systm

byanonymous 2012.03.19 09:29
저자 Hyun Jin Cha, Yong Se Kim, Seon Hee Park, Tae Bok Yoon, Young Mo Jung, and Jee-Hyong Lee 
논문지 Intelligent Tutoring Systems (ITS 2006) 
Vol. 4053 
No.  
pp. 513-524 
게재일 2006-06-26 
Each learner has different preferences and needs. Therefore, it is very crucial to provide the different styles of learners with different learning environments that are more preferred and more efficient to them. This paper reports a study of the intelligent learning environment where the learner’s preferences are diagnosed, and then user interfaces are customized in an adaptive manner to accommodate the preferences. A learning system with a specific interface has been devised based on the learning-style model by Felder & Silverman, so that different learner preferences are revealed through user interactions with the sys-tem. Using this  interface, learning styles are diagnosed 
from learner behavior patterns on the interface using Decision Tree and Hidden Markov Model approaches.
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