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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.

    2013

    2012

      Fuzzy Category and Fuzzy Interest for Web User Understanding
      2012.03.19
      저자: Si-Hun Lee, Jee-Hyong Lee, Keon Myung Lee, and Hee Yong Youn     논문지: International Conference on Computational Science and Its Applications (ICCSA 2005)     Vol.: 3483     pp.: 1149-1158     게재일: 2005-05-09    
      Mixed Control Actions for Uustable Linear Systems
      2012.03.19
      저자: Kwan-Ho You, Jiecai Luo, and Jee-Hyong Lee     논문지: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences     Vol.: 86     No.: 9     pp.: 2317-2324     게재일: 2003-09-01    
      A Fuzzy Ranking Method for Fuzzy Numbers
      2013.06.10
      저자: Jee-Hyong Lee, Kwan-Ho YOU     논문지: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer     Vol.: E86-A     No.: 10     pp.: 2650-2658     게재일: 2003-01-01