융합정보논문지 (Journal of Convergence for Information Technology)

중소기업융합학회 (Convergence Society for SMB)
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교육용 모바일 증강현실 게임을 위한 지능형 어휘 추천 에이전트

Intelligent Vocabulary Recommendation Agent for Educational Mobile Augmented Reality Games

  • 김진일 (한남대학교 탈메이지교양교육대학)
  • Kim, Jin-Il (Talmage Liberal Arts College, Hannam University)
  • 투고 : 2018.12.26
  • 심사 : 2019.02.20
  • 발행 : 2019.02.28
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초록

본 논문에서는 모바일 교육 증강현실 게임 환경에서 게임 학습 참여자의 학습 필요와 요구에 부응하는 어휘를 자동으로 제공해주는 지능형 어휘 추천 에이전트를 제안한다. 제안된 에이전트는 모바일 기술의 특성과 증강 현실 기술의 특성을 최대한 반영하여 설계하도록 하고 상황 어휘 추론 모듈, 싱글 게임 어휘 추천 모듈, 배틀 게임 어휘 추천 모듈, 학습 어휘 목록 모듈, 유의어 모듈로 구성한다. 연구 결과, 게임 학습 참여자들은 대체적으로 만족함을 알 수 있다. 상황 어휘 추론과 유의어의 정확도는 각각 4.01점, 4.11점으로 게임 학습 참여자가 처한 상황과 관련이 깊은 어휘가 추출되는 것을 보여준다. 하지만 만족도의 경우에는 배틀 게임 어휘(3.86)는 개인별 학습자의 추천 어휘 중에서 공동으로 사용할 수 있는 어휘를 추천하기 때문에 싱글 게임 어휘(3.94)보다는 상대적으로 낮은 결과가 나타났다.

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.

키워드

JKOHBZ_2019_v9n2_108_f0001.png 이미지

Fig 1. Structure of Agent

Table 1. Vocabulary sets(one part)

JKOHBZ_2019_v9n2_108_t0001.png 이미지

Table 2. Precision and Satisfaction of recommended vocabulary for each module

JKOHBZ_2019_v9n2_108_t0002.png 이미지

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