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http://dx.doi.org/10.9708/jksci.2011.16.2.083

An Ontology-Based Method for Calculating the Difficulty of a Learning Content  

Park, Jae-Wook (Dept. of Computer Science and Engineering, Dongguk University-Seoul)
Park, Mee-Hwa (Dept. of Computer Science and Engineering, Dongguk University-Seoul)
Lee, Yong-Kyu (Dept. of Computer Science and Engineering, Dongguk University-Seoul)
Publication Information
Journal of the Korea Society of Computer and Information / v.16, no.2, 2011 , pp. 83-91 More about this Journal
Abstract
Much research has been conducted on the e-learning systems for recommending a learning content to a student based on the difficulty of it. The difficulty is one of the most important factors for selecting a learning content. In the existing learning content recommendation systems, the difficulty of a learning content is determined by the creator. Therefore, it is not easy to apply a standard rule to the difficulty as it is determined by a subjective method. In this paper, we propose an ontology-based method for determining the difficulty of a learning content in order to provide an objective measurement. Previously, ontologies and knowledge maps have been used to recommend a learning content. However, their methods have the same problem because the difficulty is also determined by the creator. In this research, we use an ontology representing the IS-A relationships between words. The difficulty of a learning content is the sum of the weighted path lengths of the words in the learning content. By using this kind of difficulty, we can provide an objective measurement and recommend the proper learning content most suitable for the student's current level.
Keywords
Ontology; Learning Contents; Difficulty;
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Times Cited By KSCI : 6  (Citation Analysis)
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