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Learning Recommendation System using Knowledge based on ITS
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ITS 기반의 Knowledge를 이용한 학습 추천 시스템

논문 기본 정보

Type
Academic journal
Author
Kibbm Lee (글로브비트캠프) Seok-Jae Moon (신한대학교)
Journal
The Society of Convergence Knowledge The Society of Convergence Knowledge Transactions Vol.4 No.1 KCI Accredited Journals
Published
2016.1
Pages
35 - 41 (7page)

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Result
Learning Recommendation System using Knowledge based on ITS
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Abstract· Keywords

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Intelligent Tutoring System(ITS) is a system introduced an artificial intelligence techniques to overcome the limitations of computer-assisted learning by supporting dynamic flexibility training conditions in the current situation of the learner. However, the existing system of ITS are providing standardized learning contents without taking into account the characteristic of learners, learner level, etc. which is important factors in improving academic achievement. Because of this, it is difficult to effective learning, course schedules to fit the learning goals of the learner. There are so adaptable problems cannot be dynamically provided. In this paper, we propose a learning recommendation system using ITS based knowledge which provides study materials and dynamic learning course matching each learner’s level and characteristics as adaptive methods. The proposed system for the characterization of learner self-test module, learning ability to understand the objectivity that the level of learning elements per learner evaluation module, study recommended modules for the learning objectives, a dynamic learning course scheduling module considers the learning situation offer.

Contents

요약
ABSTRACT
Ⅰ. 서론
Ⅱ. 연구방법
Ⅲ. 제안 시스템
Ⅳ. 시스템 적용
Ⅴ. 결론
참고문헌

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UCI(KEPA) : I410-ECN-0101-2016-004-002384948