• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.611-612
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• 2021

매치 3게임에서 플레이테스팅 방법은 전통적으로 사람들을 이용하는 방법으로 지속되어 왔으며, 최근에는 딥러닝을 이용하는 방법으로서 게임의 장르적인 특성들을 고려해서 각 레벨에 대한 플레이 데이터를 이용한 지도학습 방법과 환경과 상황 그리고 보상을 통한 강화학습 방법들이 연구되고 있다. 본 논문에서는 매치 3게임에서 강화학습을 이용한 플레이테스팅의 향후 연구 방향성에 대해서 기준을 제시한다.

• Journal of The Korean Association of Information Education
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• v.23 no.3
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• pp.229-235
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• 2019

By combining the elements of the game or game in education, it improves the interest of the students and improves academic achievement by creating an environment where they can participate directly. We propose a curriculum that can learn the core principles of the elementary curriculum through fusion. The proposed curriculum helps students to understand the principles of the elementary curriculum by learning the artificial intelligence method in board game form. Learning methods that incorporate such elements of the game will enable learners to learn the principles of IT so that they can develop their ability to understand objects from various perspectives and enhance their thinking skills. It is expected that the elementary artificial intelligence curriculum that incorporates the proposed gamification will contribute to the development of the information science curriculum, which has been highlighted recently from the 2015 curriculum.

• Journal of Korea Game Society
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• v.13 no.1
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• pp.61-74
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• 2013

In this paper we proposed a gamification methodology for Korean language education. We suggested gamification elements that increased the fun factor and induced immersion by analyzing the successful gamification cases which can be classified into three types; management, Implementation, and self-expression. Then, we analyzed Korean learning theory and methods to extract four key aspects, listening, speaking, vocabulary and culture from eight Korean learning function. Finally, by using Korean Wave contents, we proposed a Korean learning gamification methodology based on the gamification elements and the extracted four key aspects.

• Journal of IKEEE
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• v.25 no.4
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• pp.644-649
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• 2021

Self-Imitation Learning is a simple off-policy actor-critic algorithm that makes an agent find an optimal policy by using past good experiences. In case that Self-Imitation Learning is combined with reinforcement learning algorithms that have actor-critic architecture, it shows performance improvement in various game environments. However, its applications are limited to reinforcement learning algorithms that have actor-critic architecture. In this paper, we propose a method of applying Self-Imitation Learning to Deep Q-Network which is a value-based deep reinforcement learning algorithm and train it in various game environments. We also show that Self-Imitation Learning can be applied to Deep Q-Network to improve the performance of Deep Q-Network by comparing the proposed algorithm and ordinary Deep Q-Network training results.

• Journal of The Korean Association of Information Education
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• v.12 no.1
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• pp.99-107
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• 2008

Over online education based on wired Internet technologies, due to recent development of various mobile technologies, education based on mobile environment becomes popular. In the meanwhile, the young students are more interested in game-based education that provides more interaction and instant feedback than one-way cramming education. The purpose of this thesis is to develop a new motivation model for mobile environment and apply the model to the elementary school students. The proposed model, based on Keller's motivation model, is designed to increase study effects through motivating students with various game strategies. The proposed motivation model has the following characteristics. First of all, the best game genre can be provided for each study theme in early planning stage. Second, the model can allow students to have more interests in their study activity by providing various edutainment elements. Third, a stage of producing game synopsis and concrete scenario is included in motivation model. The stage enables more complete combination of game and mobile motivation strategies. Finally, the proposed model allows contents developed to be appled in teaching plan without any refinement. That is, the model allows a teaching plan to be extracted from study contents instantly.

• Journal of Korea Game Society
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• v.6 no.4
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• pp.25-37
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• 2006

Although the constructivistic instruction is emphasized in these days, many teachers feel burden to implement their teaching based on constructivistic teaming theory. As the main reason for this, difficulty to find out effective materials which can be utilized in the constructivistic instruction can be argued. According to recent studios, effectiveness of online games as the educational material was proven. Based on this result, the possibility for utilizing online games as effective educational materials in the constructivistic instruction was discussed in this study. For this, total process for the business strategy lecture implemented to 50 students in Chung-Ang univ. during 9 months by utilizing an online game named 'Goonzu' was reviewed by the perspective of constructivistic teaming theories. As a result of this review, it was proven that constructivistic methodologies were applied effectively in that lecture. Based on this, the possibility of utilizing online games as the effective material in the constructivistic teaming activity is discussed in this study.

• The KIPS Transactions:PartB
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• v.11B no.7 s.96
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• pp.831-840
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• 2004

In this paper, we propose a scheme to implement intelligent game characters based on neural networks. Neural networks that implement in-telligent game character receive the action of an opponent character and the distance between them, decide intelligent character's action, and output the decision. The neural networks are trained by reinforcement learning using the scores acquired by the actions of two characters as reinforcement values. To show the usefulness of the proposed scheme, a simple fighting action game is implemented and various experiments are performed. Experimental results show that proposed intelligent characters can learn the rule of the game. The proposed scheme can be ap-plied to massively multiple online games as well as fighting action games.

• Journal of Korea Game Society
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• v.14 no.1
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• pp.39-48
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• 2014

Serious games have many potentials to facilitate positive social change on communities and individuals. However, there have been few researches to study this issue in Korea. In this paper, therefore, we developed a persuasive game based on persuasive game design principles to provide an ordinary person with experiences of the blind so that they communicate, understand, and harmonize. We did surveys before and after 20 players played the persuasive game. We found that a persuasive game might have positive impacts on social change literacy partially.

• Journal of Digital Contents Society
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• v.1 no.1
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• pp.77-88
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• 2000

Leading educational paradigm based on Constructivism drives for many changes in the field of education. It causes the shift from instructor-based to learner-based learning, and cooperative teaming amongst the learners. Multi User Game (MUG) which is a network-based cooperative game is popular among many college students. MUG is known to provide positive and creative activities encouraging learners to participate, reform and produce new knowledge and skills. Thus, it has potential as an effective learning tool. In this study, however, we have designed a prototype of Cooperative MUG Game for elementary students to learn within networked environment to play while learning new knowledge and skills. The elementary students will interact with the other students through chatting while playing MUG.

• Journal of the Korean earth science society
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• v.30 no.2
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• pp.257-264
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• 2009

The purpose of this study was to examine the effects of the game application learning 8th graders' scientific attitude, which was utilized as a strategy to improve the teaching skills and methods in the lesson of 'the history of the earth and diastrophism'. The subjects of this study were 120 students of 8th grade at a middle school located in a metropolitan city in Korea. To start off with homogeneity of a group, this study recruited participants by the results of a diagnostic test taken early in the year and a mid-term examination taken at the end of April. As a result, a total of 4 male classes that showed similar results on the two tests were selected and divided into two groups: one in experimental and the other in control. In addition, the top 20% students and the low 20% students were chosen for comparison of their scientific attitudes based on the results of the mid-term examination. The traditional teachings were offered to the control groups while the experimental lessons with the game activities performed at the stages of application and summary in teaching were offered to the experimental groups over 10 periods. Results of the pre- and post-test on the students' scientific attitude demonstrated that there was a statistical significance between the two groups, which suggested that the experimental group showed a meaningful improvement in the scientific attitude after experimental intervention lesson activities with game applications. Also, the more meaningful improvement in the scientific attitude was found in the lower group than in the higher group. It implies that lessons with the game activities motivated the students to voluntarily participate in school science learning by enhancing their interests. Therefore, it is suggested that game application learning be a new teaching-learning material that helps to encourage learners to actively participate in middle school science learning.