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http://dx.doi.org/10.15207/JKCS.2020.11.3.067

A Design for the Personalized Difficulty Level Metric based on Learning State  

Jung, Woosung (Graduate School of Education, Seoul National University of Education)
Publication Information
Journal of the Korea Convergence Society / v.11, no.3, 2020 , pp. 67-75 More about this Journal
Abstract
The 'level of difficulty' is one of the major factors for learners when selecting learning contents. However, the criteria for the difficulty level is mostly defined by the contents providers. This approach does not support the personalized education which should consider the abilities and environments of various learners. In this research, the knowledge of the learners and contents were formalized and generalized to resolve the issue, and object models, including a metric for personalized difficulty level, were designed in order to be applied for experiments. And then, based on 100 contents for music education and 20 learners, we performed simulations with an implemented tool to validate our approach. The experimental results showed that our method can calculate the personalized difficulty levels considering the similarities between the knowledges from the learning state and the contents. Our approach can be effectively applied to the on-line learning management system which contains easy access to the learning state and contents data.
Keywords
Contents; Difficulty Level; Metric; Personalized Education; Learning State;
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