Browse > Article
http://dx.doi.org/10.3745/KIPSTB.2006.13B.4.421

Development of a Adaptive Knowledge Base Object Model for Intelligent Tutoring System  

Kim Yong-Beom (한국교원대학교 컴퓨터교육과)
Kim Yung-Sik (한국교원대학교 컴퓨터교육과)
Publication Information
The KIPS Transactions:PartB / v.13B, no.4, 2006 , pp. 421-428 More about this Journal
Abstract
Intelligent Tutoring System(ITS), which offers individualized learning environment that consider many learners' variable, is realized by the effective alternative to take the place of domain expert. Accordingly, research on Learning Companion System(LC) is currently noticing. However, to develop LCS which applies effective interaction, it is necessary to combine several LCs, and personalized knowledge base have to be made first. Therefore, in this paper, we propose the 'Knowledge Base Object Medel', which is based on connectionist' in cognition structure, represents learner's knowledge to self-learnig object, and grows adaptive object by proprietor, verify the validity. This model lays the groundwork for design of personalized knowledge base, offers clue to development of adaptive ITS using knowledge base object.
Keywords
Intelligent Tutoring System; Neuronet; Knowledge Base Object;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Quinlan P., Connectionism and psycholgy: A psychological perspective on new connectionist research, Chicago University Press, 1991
2 Shulman. L. S., 'Those Who Understand : Knowledge Growth in Teaching', Educational Researcher. Vol.15, No.2, p.8, 1986   DOI
3 R. A. Faraco, M. C. Rosatelli, A. O. Gauthier, 'Adaptivity in a Learning Companion System', Forth IEEE International Conference on advanced Learning Technologies, pp.151-155, 2004   DOI
4 W. Kim, Introduction to Object-Oriented Database, MIT Press, 1990
5 Xu D., 'Towards an Object-Oriented Logic Framework for Knowledge Based Systems', Knowledge-Based Systems, Vol.10, pp.351-357, 1998   DOI   ScienceOn
6 James R., Michael B., Object Oriented Modeling and Design, Prentice Hall, 1991
7 Higa K., 'Object-Oriented Methodology for Knowledge Base/Database Coupling' Communications of the ACM 35, pp.99-113, 1992   DOI
8 Chia H. W., Tan C. L, 'Association based evolution of comprehensive neural logic networks', GECCO 2004, pp.26- 30, 2004
9 Chow D. Y, Chan T. w., Lin C. W., 'Redefining the Learning Companion: The Past, Present, and Future of Educational Agents', Computers & Education Vol.40, No.3, pp.255-269, 2003   DOI   ScienceOn
10 김용범, 오필우, 김영식, '교수내용지식을 위한 하이브리드 지식 표현 기법', 인지과학, 제16권 제4호, pp.369-386, 2005   과학기술학회마을
11 김정환, 교육연구 및 통계방법, 원미사, pp.437-456, 2003
12 박한식, 이강섭, 수리통계학, 교육연구사, pp.90-95, 1984
13 김성식, 인공지능 기법, 홍릉과학출판사, pp.457-474, 1996
14 강남형, '개인의식 창출 과정과 이에 영향을 주는 요인'. 이화여자대학교 대학원p.22, 2001
15 강창동, 채선희, 학교교육 지원을 위한 사이버 교육 방안에 관한 연구 I , 한국교육과정평가원, 2001
16 김대현, 김석우, 교육과정 및 교육평가, 학지사, p.151, 2003
17 Henry W. C., Chew L. T., 'Neural Logic Network Learning using Genetic Programming', International journal of Computational Intelligence and Applications, Vol.1, No.4, pp.357-368, 2001   DOI   ScienceOn
18 http://aied.inf.ed.ac.uk/
19 Livingston C., Borko H., 'Expert Novice Difference in Teaching: A Cognitive Analysis and Implications for Teacher Education', Journal of Teacher Education, p.37. 1989   DOI
20 Malrey Lee, 'Fuzzy Inference Network and Search Strategy using Neural Logic Network', 멀티미디어학회 논문지 제4권 제2호, pp.189-196, 2001   과학기술학회마을
21 Hyman R., Approaches in Cuniculum, New Jersey: Prentice-Hall, 1973.
22 Cochran K. F., 'Pedagogical content Knowing: An Integrative Model for Teacher Preparation', Journal of Teacher Education, Vol.44, No.4, p.265, 1993
23 Gumundsdottir S., 'Pedagogical Content Knowledge: Expert/Novice Companion in social Studies', Annul Meeting of American Educational Association, 1988
24 Chan T. W., 'Integration-Kid: A Learning Companion System', Proceedings of the 12th International Conference on Artificial Intelligence, Vol.2, pp.1094-1099, 1991
25 이기호, 최영미, 지능형 교육 시스템 개론, 교학사, pp.211-220, 1992
26 이정모, 연결주의:이론적 특성과 문제점, 성원사, p.117, 1996
27 이헌주, 김재호, '신경논리망 기반의 퍼지추론 네트워크와 탐색전략', 한국정보처리학회 논문지 Vol.3, No.5, pp.1138-1146, 1996