• Journal of Internet Computing and Services
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• v.10 no.1
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• pp.93-99
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• 2009

Game program manufacture had been classed by 3D or on-line game etc. simply. But, atomized game programmer's kind now. So, Artificial Intelligence game programmer's role is important. This paper used reinforcement learning algorithm for Jul_Gonu board characters to learn, and so they can move intelligently. To compare a learned character to an random one, a board game was created, and then they fought against each other. As a result, learned character‘s ability was far more improved.

• Journal of Korea Game Society
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• v.8 no.2
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• pp.37-46
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• 2008

Underachievers, having had more experience with failure in teaming, tend to lose their self-confidence and motivation for study. If they achieve more when studying, they will enhance their self-confidence and motivation and their learning accomplishments will be increased. A game-style learning system was, therefore, developed in which the learner gains self-satisfaction and motivation with a proper 'hit and win' in a game-style program. The system supplies learning content automatically and randomly while adapting to the student's level by continuously checking the learning progress. Positive effects in motivation and learning achievement were recorded when underachievers used this program.

• The Journal of Korean Association of Computer Education
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• v.14 no.5
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• pp.39-46
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• 2011

Serious games are designed for special purposes of education, training, treatment as well as game-like fun and entertainment. Recently, domestic and foreign market of serious game are growing rapidly. By dissemination of smartphone, the global market for serious game will be expanded for various purposes and users. In this paper, we design and implement serious game 'QUICK REMEMBER 20' for memory improvement using smartphone. We analyze game users based on socio-demographic characteristics and evaluate the learning effectiveness of this game with statistic method.

• Journal of Korea Game Society
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• v.10 no.2
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• pp.113-121
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• 2010

This study proposes an educational game system that fit for portable internet environment as a solution to disadvantages of conventional education systems such as lack of understanding learners' learning level and one-way learning. The study analyses conventional e-Learning contents and platforms and proposes a new system adequate for high contents reusability and user-demand service. The learning contents that mainly consist of animations and games can be adjusted to learners' level, and therefore, learners can study according to various scenarios, not constrained in a fixed pattern. Our system is expected to bring much more fun to learners and the education can be conducted more effectively. To show the effectiveness of our system, an example of english pronunciation game was illustrated. As a result, the week points of the conventional e-Learning was overcame and new features of the interactivity was adopted to build a more effective educational game system.

• Journal of Korea Game Society
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• v.11 no.5
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• pp.3-11
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• 2011

The learning by computer games, is in the spotlight as an effective education method for the game generation. The current design methods for educational games is to design all needed game elements and learning elements which should be included in. So to design an educational game for motivation and learning effects, is generally difficult. In this paper, we propose the G-learning model IGLM which is interworked with gameplay and learning play by motivation mechanism, in order to solve the difficult problem. The comparative analysis of the proposed model IGLM on the design difficulty with the current design methods for educational games or G-learning, shows the proposed method can be a solution of the design difficult problem and is the best on the difficulty of, the freedom of, and the scope of designing the component parts of educational games or G-learning.

• Journal of Korea Game Society
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• v.10 no.1
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• pp.105-113
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• 2010

It takes quite amount of time to study a board game because there are many game characters and different stages are exist for board games. Also, the opponent is not just a single character that means it is not one on one game, but group vs. group. That is why strategy is needed, and therefore applying optimum learning is a must. 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 jul-gonu game was created, and then they fought against each other. Improved character considered distance and attacked other one. As a result, improved character's ability was improved on learning speed.

• Journal of Educational Research in Mathematics
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• v.10 no.2
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• pp.199-214
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• 2000

The constructivism is an important stream of the recent trends of mathematics education. In order for students to construct their knowledge for themselves, above all, it should be a prerequisite that they participate in actively, Using games helps students to participate in learning mathematics actively. I think, up to now, mathematics teachers use games mainly for motivation and it does not connect to true learning mathematics through using games. So, the purposes of this study are developing the mathematical games connecting to mathematical contents closely, designing the teaching models to connect game activities to learning mathematics, and developing several teaching plans using games to mathematics class. In this study, I propose what conditions 'good' game should have, classify games as practice game, concept learning game, and strategy game, and develop 43 games from 1 to 6 grade. And I design the teaching models depending on the game types and develop the teaching plans.

• Journal of Korea Multimedia Society
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• v.20 no.7
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• pp.1102-1112
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• 2017

The purpose of this study is to design and application of term project model for Game Math in flipped learning environment. In the term project self study model, students interacts with multi-instruction materials and multi-tutors on flipped learning. We develop a case for game update term project and implement it to a real Game Math classroom. As a result, we show the positive learning experiences focused on effects of technology and human relation through survey.

• Journal of Korea Game Society
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• v.15 no.2
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• pp.95-104
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• 2015

Many games for English vocabulary learning, such as hangman, cross puzzle, matching, etc, have been developed which are of board-type or computer game-type. Most of these computer games are adapting strategy-style game plays so that there is a limit on giving the fun, a nature of games, to learners who do not like games of this style. In this paper, a system for memorizing new English words is proposed which is based on a single-player car racing game targeting youths and adults. In the game, the core of our system, a learner drives a car and obtains game points by colliding with English word texts like game items appearing on the track. The learner keeps on viewing English words being exposed on the track while driving, resulting in memorizing those words according to a learning principle stating viewing is memorization. To our experiment, the effect of memorizing English words by our car racing game is good, and the degree of satisfaction with our system as a English vocabulary learning tool is reasonably high. Also, previous word games are suitable for the memory enforcement of English words but our game can be used for the memorization of new words.

• Journal of The Korean Association of Information Education
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• v.21 no.6
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• pp.607-618
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• 2017

Recently, there is a growing interest in learning to use games as a teaching method for digital native learners. In this study, we conducted a path analysis between bodily-kinesthetic intelligence, linguistic intelligence, flow, learning outcomes(academic achievement, persistence intention) in motion-capture game-based learning(the used game developed for elementary school history class). As a result, bodily-kinesthetic intelligence directly influenced flow and indirectly influenced learning outcomes. Linguistic intelligence did not have direct influence on flow and indirect effects on learning outcomes. Through this result, we expected that the motion-capture game-based learning facilitate learning motivation and performance of learners for higher bodily-kinesthetic intelligence.