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http://dx.doi.org/10.22156/CS4SMB.2019.9.2.108

Intelligent Vocabulary Recommendation Agent for Educational Mobile Augmented Reality Games  

Kim, Jin-Il (Talmage Liberal Arts College, Hannam University)
Publication Information
Journal of Convergence for Information Technology / v.9, no.2, 2019 , pp. 108-114 More about this Journal
Abstract
In this paper, we propose an intelligent vocabulary recommendation agent that automatically provides vocabulary corresponding to game-based learners' needs and requirements in the mobile education augmented reality game environment. The proposed agent reflects the characteristics of mobile technology and augmented reality technology as much as possible. In addition, this agent includes a vocabulary reasoning module, a single game vocabulary recommendation module, a battle game vocabulary recommendation module, a learning vocabulary list Module, and a thesaurus module. As a result, game-based learners' are generally satisfied. The precision of context vocabulary reasoning and thesaurus is 4.01 and 4.11, respectively, which shows that vocabulary related to situation of game-based learner is extracted. However, In the case of satisfaction, battle game vocabulary(3.86) is relatively low compared to single game vocabulary(3.94) because it recommends vocabulary that can be used jointly among recommendation vocabulary of individual learners.
Keywords
Mobile-learning; Game-style Courseware; Situated Learning; Intelligent agent; Location-Based Service;
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Times Cited By KSCI : 4  (Citation Analysis)
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