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http://dx.doi.org/10.6109/jkiice.2012.16.12.2785

Automatic Classification of Learning Objects Using Case-based Cohesion for Learning Management System  

Kim, Hyung-Il (나사렛대학교 멀티미디어학과)
Yoon, Hyun-Nim (한국폴리텍대학 안성여자캠퍼스 디지털정보과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.16, no.12, 2012 , pp. 2785-2791 More about this Journal
Abstract
In this paper, a method for automatic classification of learning objects is proposed for effective management and reuse of learning contents. Proposed method will create cohesion of learning objects using cases of learning objects and perform automatic classification of learning objects by measuring their relationship based on cohesion. Application of proposed method to learning management system has the advantage of reducing the costs for developing learning contents. Simulation has shown the average accuracy of 28.20% with probability-based method and 56.38% with cohesion-based method. Simulation has proved that the method proposed in this paper is effective in automatic classification of learning objects.
Keywords
Learning Management System; Learning Object; Classification; e-Learning;
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