• Journal of Korea Game Society
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• v.7 no.4
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• pp.105-116
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• 2007

Nowadays, learning of agents gets more and more useful in game environments. But it takes a long learning time to produce satisfactory results in game. So, we need a good method to shorten the learning time. In this paper, we present a strategy for improving the learning performance of Q-learning with prediction information. It refers to the chosen action at each status in the Q-learning algorithm, It stores the referred value at the P-table of prediction module, and then it searches some values with high frequency at the table. The values are used to renew second compensation value from the Q-table. Our experiments show that our approach gets the efficiency improvement of average 9% after the middle point of learning experiments, and that the more actions in a status space, the higher performance.

• Journal of Korea Game Society
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• v.19 no.3
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• pp.65-74
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• 2019

This study presented specific alternatives for the use of digital storytelling elements as college education and provided basic data for future Serious games to be more popularized and used as reference materials in various academic circles by considering the criteria for the quality evaluation of game contents, which had been pointed out as limitations of functional games. In particular, the factors to be considered were mainly in developing functional games to learn the clinical reasoning process.

• Journal of Digital Contents Society
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• v.10 no.4
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• pp.659-667
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• 2009

ADL SCORM(Sharable Content Object Reference Model) has been widely accepted as a global reference model for standardizing e-learning technology, and SCORM 2004 4th Edition, a stable version of SCORM, gives content developers the efficient way to build interoperable and reusable e-learning contents. Recently, a number of research efforts have been taken to build on-line SCORM contents based on some traditional training or learning styles. However, they have lacked for supporting more sophisticated learning style such as game based learning, and especially they do not consider employing the specific components of SCORM model for developing game based learning contents in practice. In this work, we elicit some SCORM data elements that is useful for representing game run-time data, and apply those elements to SCORM sequencing of game based learning SCOs(Sharable Content Objects). We thus present the whole procedure of developing SCORM game based learning contents with a sample contents.

• Journal of Korean Elementary Science Education
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• v.42 no.4
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• pp.481-496
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• 2023

This study aimed to evaluate the effects of utilizing educational game content for science learning on science-related attitudes. The content was applied to 24 students in an after-school science club at an elementary school in Gyeongsangbuk-do Province followed by a pre and posttest analysis using the Attitude About the Relevance of Science Test and the Creative Personality Test. This study used Tino's Journey, which was developed by the Korea Creative Content Agency and is currently distributed for free through the Ministry of Education to develop nine lessons that include scientific scenarios and concepts presented in the game. The results demonstrated that science lessons utilizing educational game content significantly influenced the science-related attitudes of the students. Among the subdomains, enjoyment of science lessons increased the most followed by the attitude toward scientific inquiry, social meaning of science, and hobby of science. However, the commonness of scientists, acceptance of scientific attitudes, and career in science did not reveal significant differences. This study classified the students into two groups (i.e., high and low, n=12 each) using the Creative Personality Test in advance. This study performed covariate analysis with the score for pre-science-related attitude as the covariate. Result revealed that the scores for science-related attitude significantly differed between the high and low groups. Specifically, the increase in the scores of the low group was larger than that of the high group. Lastly, the study presented implications for the utilization of educational game content in science learning.

• Proceedings of The KACE
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• 2018.01a
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• pp.165-167
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• 2018

최근 급속히 발전하고 있는 콘텐츠 제작 기술을 활용하여 가상현실 콘텐츠를 제작하고 학습 도구로 활용하는 사례가 증가하고 있다. 학습 자료로써 사진이나 동영상과 같은 정적인 콘텐츠의 의존에서 벗어나, 상호작용적인 가상현실 콘텐츠를 학습에 활용하는 연구의 중요도가 높아지고 있다. 학습자가 기상 현상과 같이 입체적이고도 동적으로 변화하는 소재를 가상현실에서 능동적으로 체험한다면, 학습효과가 높아질 것으로 예상한다. 최신 실시간 컴퓨터 그래픽스 기술과 그래픽스 하드웨어는 기상 현상을 사실적으로 재현할 수 있는 수준으로 이미 발전해 있다. 이러한 최신 기술이 컴퓨터를 활용한 기상학 교육에서 활용할 수 있다. 본 연구에서는 실시간 볼륨 구름 시뮬레이션을 구현하여 상용 게임 엔진에 탑재하고, 이를 기반으로 기상학 학습용 가상현실 콘텐츠를 제작하는 방법에 대해서 논한다.

• 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 Convergence for Information Technology
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• v.11 no.1
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• pp.156-166
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• 2021

The purpose of this study is to find out the impact of classes using a game-based student response system on learning engagement. It is an experimental study that compares learning engagement in classes (experimental groups) and lecture-style classes (comparative groups) that utilize GSRS in nursing education. A total of 211 nursing students participated from October 2019 to December 2019. The differences in learning engagement between the two groups were analyzed as t-test and correlation analysis was conducted on related factors. There was a difference between the comparison group and the experimental group in overall learning engagement(p=.013) and emotional engagement(p=.002). This is meaningful in that it has verified the learning engagement effect of the GSRS for the first time in Korea.

• 한국게임학회지
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• v.6 no.1
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• pp.64-65
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• 2009

• Journal of Korea Game Society
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• v.7 no.2
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• pp.91-100
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• 2007

The purpose of this study is to develope a criterion for evaluation on game-style courseware by the application of HCI theory. 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-style courseware evaluation on the basis of the HCI theory. Thus, it is necessary to apply the HCI theory to studies on the game-style courseware evaluation. This paper shows that evaluation criteria are developed on three viewpoint bases : usefulness, usability, and affect which are as elements in HCI. The evaluation criteria developed in this paper can be applied to a basis for evaluation on game-style coursewares.

• Journal of Korea Game Society
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• v.17 no.4
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• pp.109-116
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• 2017

It takes quite amount of time to study a board game because there are many game characters and many state spaces are exist for board games. Therefore, game must do learning long. But, there is weakness with reinforcement learning. On Learning early, the learning speed becomes slow. If there were equal result that both are considered to be best ones during the course of learning stage, Heuristic which utilizes learning of problem area of Jul-Gonu was used to improve the speed of learning. To compare a normal character to an improved one, a board game was created, and then they fought against each other. As a result, improved character's ability was improved on learning speed.