적응적 교육용 게임 개발을 위한 Learning Analytics 모형 개발 : 한국어 독해교육을 중심으로 [韩语论文]

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The purpose of this study is to develop learning analytics model for adaptive educational game development. Recently the interest in korean language education as a foreign language is increased with the increase of the interest of the korean wave, a...

The purpose of this study is to develop learning analytics model for adaptive educational game development. Recently the interest in korean language education as a foreign language is increased with the increase of the interest of the korean wave, and the importance of korean reading has been emphasized. Many games related to the korean reading has been developed and been used in education, but these existing games are been played with the simple fun of the users, they can not be able to utilize the large amounts of data generated by the digital devices. So, this study aims to develop learning analytics model for developing an adaptive educational game that can improve the achievement of study by enhancing the learner’s interest of korean language learning and presenting the adaptive feedbacks through accurate analysis and prediction of learner’s related data. For doing this, First, through the literature review on Korean reading comprehension, we extracted the factors influencing Korean reading comprehension and derived a Korean reading comprehension learning structure model. Second, the design principles for model development were derived by the literature review of the Korean reading comprehension learning structure model, learning analytics, adaptive learning, educational games. Third, developed learning analytics model based on design principles. Fourth, after verifying the validity of the developed model through expert review and formation evaluation process, completed a learning analysis model for development of adaptive educational game .Finally, based on information utilization ethics phase, the final model is constructed to have a cyclical approach with the phase of measure and collect the learner’s related data, analyze and predict steps for adaptive feedback, and take remedial steps for personalization. This will help learner’s to improve their learning effectively by collecting data from learner’s who are playing a Korean reading game, analyzing the characteristics and level of the learner’s, and providing adaptive feedback according to the individual level according to the analysis results.

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