• Journal of Korea Game Society
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• v.16 no.3
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• pp.7-16
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• 2016

This research aims to suggest a gamified smart learning design for Korean EFL young learners' speaking proficiency. Gamification is the use of game-thinking and game mechanics in non-game contexts to engage users in solving problems. Thus, the gamified smart learning as gamification in education is designed not only to elicit students' participation but also to enhance speaking skills. Especially, this research based on the results of a pilot study is focused on easing the burden of homework as well as engaging the speaking English game for the primary students with a relatively short attention span. The game elements utilized in this study are competition, rewards, customized characterization and so on. Kakao Talk is selected for this gamified smart learning research because of its ease of accessibility, and multiple applicable functions for language learning such as voice recording, text messaging and sharing videos or photos. Gamification in smart learning can be a means of productive approach to contemporary EFL teaching and learning.

• Journal of the Korea Institute of Military Science and Technology
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• v.23 no.4
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• pp.337-345
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• 2020

The Weapon-Target Assignment(WTA) problem can be formulated as an optimization problem that minimize the threat of targets. Existing methods consider the trade-off between optimality and execution time to meet the various mission objectives. We propose a multi-agent reinforcement learning algorithm for WTA based on mean field game to solve the problem in real-time with nearly optimal accuracy. Mean field game is a recent method introduced to relieve the curse of dimensionality in multi-agent learning algorithm. In addition, previous reinforcement learning models for WTA generally do not consider weapon interference, which may be critical in real world operations. Therefore, we modify the reward function to discourage the crossing of weapon trajectories. The feasibility of the proposed method was verified through simulation of a WTA problem with multiple targets in realtime and the proposed algorithm can assign the weapons to all targets without crossing trajectories of weapons.

• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.417-419
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• 2022

This paper undertakes educational games and gamification, their features, importance, and integration into the educational process. Besides outlining features, benefits, and difficulties, it highlights the difference between gaming, gamification, and game-based learning. The article contends that game-based learning and gamification elements such as reward, completion, and cooperation develop students' positive attitudes toward the curriculum and boost their learning motivation.

• Journal of Service Research and Studies
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• v.6 no.2
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• pp.175-184
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• 2016

The educational computer game service, due to its entertainment role, is a very attractive tool for students to raise their interests in learning. Especially mathematics, the most difficult subject for many students, is one of the typical subjects in which the educational computer game service can be efficiently applied. Most of the previous game services is for single or two learners. And learner only have to simply submit a solution for the proposed math expression in the game. In this paper a multi-player game service based on TCP/IP socket programming technique is designed and implemented to join in the game for multiple learners. In addition, we design a game rule to improve learners' number sense by letting them arrange various ways to solve the problem. Finally, using the requirements of educational game service, we evaluate the proposed game service and its usability.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.175-178
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• 2012

이 연구에서는 학습전략 게임 활용 학습에서 자기조절학습능력의 효과를 분석하였다. 그리고 학습전략 게임 활용 학습이 학습자의 학습전략 수준에 따라 자기조절학습능력 신장에 주는 효과성을 검증하여 효과적인 게임 활용 학습 환경 설계에 시사점을 제공하고자 하였다. 연구대상으로서 103명의 초등학생에게 학습전략의 수준을 측정하고 4주간 10차시에 걸쳐 학습전략 게임 활용학습을 실시한 후 자기조절학습능력의 효과를 분석하였다. 연구결과 첫째, 학습전략 게임 활용 학습은 실험집단과 통제집단의 자기조절학습능력에 있어서 통계적으로 유의한 차이가 있었으며 특히 인지조절, 동기조절에서 유의한 차이가 있었다. 둘째, 학습전략 게임 활용 학습은 학습전략 수준별 상, 중, 하 집단의 자기조절학습능력의 향상 차원에서 통계적으로 유의한 차이를 보였으며 특히 중 집단에서 유의한 차이가 있었다.

• Journal of Korea Game Society
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• v.8 no.4
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• pp.3-16
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• 2008

This study tried to look into various linguistic elements of MMORPG and suggested teaching methods to be applied in teaching and learning English. To support this idea, diverse attributes of CALL applications were investigated and suggested suitable position of MMORPG in technological stream of CALL. After that, focusing on 'Goonzu Global', the linguistic environment of MMORPG was considered. Based on aforementioned results, this study proposed an effective method to utilize MMORPG in teaching English adopting three teaching methods; collaborative method, task-based learning and problem-based learning.

• Journal of Korea Game Society
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• v.6 no.3
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• pp.33-42
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• 2006

This study is aimed to develop adventure-game style learning program for offering different levels curriculum in mathematics and figure areas in elementary schools. The 7th mathematics curriculum introduced different levels curriculum considering learners' ability, aptitude, requirement, interest so that it could improve learners' growth potential and educational efficiency. But in reality, it is quite difficult to increase educational efficiency by conducting individual learning classes according to students' ability due to the big differences among students' levels in addition to high population in each classroom. The purpose of this study is to offer different levels curriculum based on van Hiele theory and develop adventure-game style learning program to increase interests of the learners. This program can improve students' academic achievement by offering differentiated curriculums to learners who need advanced or supplementary learning materials. And it also enhances leaners' spatial-perceptual ability by offering various operating activities in figures learning.

• Journal of The Korean Association of Information Education
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• v.11 no.1
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• pp.1-9
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• 2007

The purpose of this study is to develope a criterion for evaluation on game-type learning programs by the application of HCI(Human Computer Interaction) theory. And to analyze game-type learning programs for elementary students on the criterion developed in this study. The HCI theory, which deals with principles or methods for developing systems people can use conveniently and pleasantly, has been applied to overall area of program development. And it also has been widely used to evaluate learning programs. However, there have been few studies on a game-type learning program evaluation on the basis of the HCI theory. This paper shows that evaluation criteria are developed on three viewpoint bases : usefulness, usability, and affect which are as elements in HCI. And analyzes the game-type learning programs from these three points of view. The evaluation criteria developed in this study can be applied to a basis for evaluation on game-type learning programs, and the analysis will be able to be a useful guide to game programers as well as its users.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.9
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• pp.1190-1198
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• 2021

In this paper, we present the results of implementing an interactive lecturer introduction game that allows new students or freshmen to learn about their lecturer's information using a Digital Game-based Learning (DGBL) methodology. This game provides information such as the lecturer's name, photo, the courses that they teach in the form of a quiz game, with Unity and PHP used as the development environment. Communication between the game, Content Management System (CMS), and the database is by using the REST API, which enables the administrator to manage the content of the game such as score and number of questions for each level, user's password, and performance threshold, as well as the lecturer's information itself. Since the developed interactive game uses an integrated CMS, the content can be updated dynamically according to the situation, therefore, it can be easily applied to other departments, as well as other various educational games.

• Journal of Korea Game Society
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• v.16 no.2
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• pp.27-40
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• 2016

Predicting stealthy behaviors plays an important role in designing stealth games. It is, however, difficult to automate this task because human players interact with dynamic environments in real time. In this paper, we present a reinforcement learning (RL) method for simulating stealthy movements in dynamic environments, in which an integrated model of Q-learning with Artificial Neural Networks (ANN) is exploited as an action classifier. Experiment results show that our simulation agent responds sensitively to dynamic situations and thus is useful for game level designer to determine various parameters for game.