• Journal of The Korean Association of Information Education
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• v.16 no.4
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• pp.489-502
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• 2012

Today computer education puts an emphasis on algorithm education. There are little researches about how to express the given problem in algorithm and how to interpret the expressed algorithm. In this study play-based learning methods dealing with flow chart which is one of the expressing tools of algorithm are developed for lower graders of elementary school. Then we diagnosed the learning possibility of the tool after applying the methods in a classroom environment. There are four types of learning game activities; sequential play, selective play, repetitive play and puzzle play. Puzzle play is a game that students need to reconstruct the learned content to a real flow chart by using flow chart cards. The result of an achievement test after teaching students flow chart showed that the group who took the play-based lesson got their average score with about 7.5% higher than the group who took the ICT-based lesson. Both the groups got their average scroe of more than 9 out of 10 after the lesson. This result shows that flow chart lessons are adaptable for the lower graders of elementary school. It also shows that play-based education can be exceptionally effective.

• 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 Internet Computing and Services
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• v.16 no.6
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• pp.69-78
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• 2015

Recently, research on the multi-agent system is developed actively in the various fields, especially on the control of complex system and optimization. In this study, we develop a multi-agent system for NPC simulation in game environment. The purpose of the development is to support quick and precise decision by inferencing the situation of the dynamic discrete domain, and to support an optimization process of the agent system. Our approach employed Petri-net as a basic agent model to simplify structure of the system, and used fuzzy inference engine to support decision making in various situation. Our experimentation describes situation of the virtual battlefield between the NPCs, which are divided two groups, such as fuzzy rule based agent and automata based agent. We calculate the percentage of winning and survival rate from the several simulations, and the result describes that the fuzzy rule based agent showed better performance than the automata based agent.

• Journal of Educational Research in Mathematics
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• v.17 no.1
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• pp.51-66
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• 2007

The purpose of this study is to analyse the cases of the posed problems while the mathematically gifted students are playing the NIM game. The findings of a qualitative case study have led to the conclusions as follows. Most of all mathematically gifted students in the elementary school are not intend to suggest the solutions of the posed problem unless the teacher or the 'problem is requested. But a higher level of promising children were changing each data components of a problem in a consistent way and restructuring the problems while controlling their cognitive process. This is compared to that a relatively lower level of promising children tends to modify one or two data components instantly without trying to look at the whole structure. And we gave 2 suggestions to teach the mathematically gifted students in the problem posing.

• Journal of Korea Game Society
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• v.15 no.2
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• pp.105-114
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• 2015

We propose a real time user interface that utilizes emotion recognition by physiological signals. To improve the problem that was low accuracy of emotion recognition through the traditional EEG(ElectroEncephaloGram), We developed a physiological signals-based emotion recognition system mixing relative power spectrum values of theta/alpha/beta/gamma EEG waves and autonomic nerve signal ratio of ECG (ElectroCardioGram). We propose both a data map and weight value modification algorithm to recognize six emotions of happy, fear, sad, joy, anger, and hatred. The datamap that stores the user-specific probability value is created and the algorithm updates the weighting to improve the accuracy of emotion recognition corresponding to each EEG channel. Also, as we compared the results of the EEG/ECG bio-singal complex data and single data consisting of EEG, the accuracy went up 23.77%. The proposed interface system with high accuracy will be utillized as a useful interface for controlling the game spaces and smart spaces.

• Journal of Korea Game Society
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• v.12 no.6
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• pp.59-70
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• 2012

There are many methods to buy and sell online items. But A lot of people use item trade sites when they want to sell or buy their items. This article analyzes the price structure of item trade, and finds why gamers use item trade sites in spite of the brokerage. We analyze the difference of item prices between in the market of item trade sites and in the market of other trade methods. And we find that the prices of item trade sites is higher than those of other markets. Buyers pay about 6% higher prices to seller. The higher prices are for the safe trading what item trade sites supply. And sellers take about 0.7% higher prices than in other markets. There is a sufficient motive when gamers use item trade sites in spite of their high prices.

• Journal of the Korean Society of Costume
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• v.57 no.3 s.112
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• pp.63-77
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• 2007

The purpose of this study is to apply fashion design to developing dress design of mobile-phone game characters. As for the research methodology, first, market research has been carried out to extract main images from dress designs of game characters and to understand their socio-cultural meanings. Second, the fashion design, which ran be compared to the extracted images of game characters were selected. Third, analyses were done to find out the gap between the game character's dress designs and the fashion designs. The main images of game characters are revealed as erotic, romantic, heroic, grotesque. These images have been formed by psychological and socio-cultural effects such as stimulation, empathy, compensation, increase of female game player. The differences between the game character's dresses and the fashion designs are as follows; With regard to style, game dresses have silhouette distinguished from background, but fashion collection have blurred silhouette. In the aspect of color, while strong colors are mainly used in game dress, neutral rotors are preferred in fashion collection. As for texture, the expression of 'textures in game character's dress is so far limited due to the insufficient level of the concerned technology. However, the fashion design applying drape of fabrics are well-developed. Mobile-phone game players want reality in game design. Therefore, the effort to overcome the gaps between game dress and fashion design can contribute to the growth of game character design.

• Journal of Korea Game Society
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• v.8 no.3
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• pp.15-22
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• 2008

Recently, Our average life span of korean people is extended and fast-growing an elderly population caused by Being Improved our living conditions and medical science level. Our another problems which being faced by an aging population are that marked psychological and social changes of the aged. The psychological changes of the aged is related to how they make their living and it strong influences on their successful aging process. For health of the aged, there is an urgent need of recreation which can be social activities to void decline their own process of thinking and the executive ability to adapt for controlling health. Therefore, thepurpose of this recreation Courseware program is to help the alienated minorities to achieve the optimal health and best quality of life based on the knowledge of the social-activities and to understand the korean traditional culture plays. Finally, This study could contribute it as a baseline model for the empirical study and to develop further recreation program for the elderly social activities and sufficient for needs of understanding our traditional culture plays.

• 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 Internet Computing and Services
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• v.18 no.2
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• pp.43-51
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• 2017

As the game industry is blooming, the generation of contents is far behind the consumption of contents. With this reason, it is necessary to afford the game contents considering level of game player's skill. In order to effectively solve this problem, Procedural Content Generation(PCG) using Artificial Intelligence(AI) is one of the plausible options. This paper proposes the procedural method to generate various monsters considering level of player's skill using genetic algorithm. One gene consists of the properties of a monster and one genome consists of genes for various monsters. A generated monster is evaluated by battle simulation with a player and then goes through selection and crossover steps. Using our proposed scheme, players adaptive monsters are generated procedurally based on genetic algorithm and the variety of monsters which are generated with different number of genome is compared.