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실시간 학습자 프로파일링을 이용한 적응적 학습 시스템

Adaptive Learning System using Real-time Learner Profiling

  • 양영욱 (고려대학교 컴퓨터교육학과) ;
  • 유원희 (고려대학교 컴퓨터교육학과) ;
  • 임희석 (고려대학교 컴퓨터교육학과)
  • Yang, Yeong-Wook (Dept. of Computer Science Education, Korea University) ;
  • Yu, Won-Hee (Dept. of Computer Science Education, Korea University) ;
  • Lim, Heui-Seok (Dept. of Computer Science Education, Korea University)
  • 투고 : 2014.01.09
  • 심사 : 2014.02.20
  • 발행 : 2014.02.28

초록

적응적 학습 시스템은 학습자의 학습 요구에 따라서 학습 자료를 적응적으로 제공해주는 시스템을 의미한다. 적응적 학습 시스템은 전문가 모델, 수업 모델, 학습자 모델로 구성되어있다. 전문가 모델은 가르치는 정보를 저장하고 있다. 학습자 모델은 학생들의 학습 정보와 학습 이력에 대한 데이터를 저장한다. 수업 모델은 실제 학습자에게 필요한 학습 자료를 제공해주는 모델이다. 본 논문에서는 학습자 프로파일 정보를 통하여 학습자 모델을 구성하였으며, 동적 시나리오 구축을 통하여 수업 모델을 구성하였다. 이후 학습자의 프로파일 정보 기반의 동적 시나리오를 구축해줌으로써 학습자에게 적응적으로 학습 콘텐츠를 제공해주는 시스템을 개발하였다. 마지막으로 시스템에 대한 만족도 결과는 88%로 높은 만족도를 보였다.

Adaptive learning system means a system that provides adaptively learning materials according to the learning needs of learners. It consists of expert model, instructional model and student model. Expert model is that stores information which is to be taught. Student model stores the data of learning history and learning information of students. Instructional model provides necessary learning materials for actual leaners. This paper has constructed student model through learner's profile information and instructional model through dynamic scenario construction. After that, We have developed adaptively to provide learning to learners by constructing suitable dynamic scenario based on learners profile information. In the end, satisfaction result about this system showed a high degree of satisfaction and 88%.

키워드

참고문헌

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