• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.35-38
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• 2006

The purpose of this study is to design and develop internet-based game content in elementary mass class. The design of Internet-based learning game content should be different from general game contents in terms of achieving learning goal, challenging learning steps, and learning motivation. This study presents the design and development strategies in the second grade multiply mass class. This study concludes that internet-based game content should consider the importances of the process of game, accumulations of game results to remind learners of what to achieve during the internet class not to enjoy the game itself.

• Journal of Korea Game Society
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• v.18 no.6
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• pp.29-38
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• 2018

Although computer games seem to be efficient tools for facilitating and supporting situated learning in Europe, GBL(game based learning) is less likely in Korea. The objectives of this paper are to address the causes of the problem and evaluate a serious game for history GBL. We review various cases of history GBL projects in European School Net, commercial games and serious games which are related to history. We draw a demand of our game's structural type, learning criterion, basic model of instruction, and executable prototype from the analysis results. Scene management educators pursue and dependencies of turning points in the history are critical differentiator. An evaluation team of educators, learners, and edu-game managers evaluates that the prototype is suitable model for application in history instruction.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.7
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• pp.3638-3653
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• 2019

Designing a user interface is important because the user interface determines the level of physical and mental engagement of the user resulting in their level of learning. This paper investigated how physical engagement through a different user interfaces is associated with fun and learning and presented a theoretical physical engagement model called, PEM, developed based on an empirical user study. The PEM model describes how a game user interface is associated with the level of fun and learning, particularly in playing a full body engaged game. There are many different types of games but the Wii Tennis, an embodied interactive game, was chosen as an instance of full body engaged game. A user study with 32 participant's age ranged from 21 to 40 years old revealed that there is a positive correlation between both fun and learning and the level of physical engagement through two different user interfaces. The results of the study showed that the extent of fun and learning are associated with the physical engagement of the player through an interface. As an implication from the study, the result recommend that the level of user engagement is realized by an effective user interface, and the level of physical engagement is determined by the level of authenticity bridged by the user interface.

• Journal of Korea Game Society
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• v.15 no.2
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• pp.53-62
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• 2015

This paper introduces an educational game development method for the purpose of designing game as part of school curriculum activities, base on experimental case of making history learning game for private elementary schools in Korea. Our first approach was to define a game as a educational learning tool like any other media and mediating platform such as smart phones or other applications. We regard user as a player, and students as a end user and decision making-customers. Unlike other game development process we brought service design methode to the development process, making a game platform that is specially designed for teachers' teaching tool, which is easy and effective to use to ther subject of teacher's intention. Based on our research case, we suggest educational games development methodology which can be better suited for games with school curriculum in learning environment.

• Journal of Internet Computing and Services
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• v.11 no.3
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• pp.25-32
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• 2010

It takes quite amount of time to study a game because there are many game characters and different stages are exist for games. This paper used reinforcement learning algorithm for characters to learn, and so they can move intelligently. On learning early, the learning speed becomes slow. Improved sequential prediction method was used to improve the speed of learning. To compare a normal learning to an improved one, a game was created. As a result, improved character‘s ability was improved 30% on learning speed.

• 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.

• 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 Information Technology Services
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• v.16 no.4
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• pp.137-148
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• 2017

Researches on the Artificial Intelligence has been explosively activated in various fields since the advent of AlphaGo. Particularly, researchers on the application of multi-layer neural network such as deep learning, and various machine learning algorithms are being focused actively. In this paper, we described a development of an artificial intelligence Janggi game based on reinforcement learning algorithm and MCTS (Monte Carlo Tree Search) algorithm with accumulated game data. The previous artificial intelligence games are mostly developed based on mini-max algorithm, which depends only on the results of the tree search algorithms. They cannot use of the real data from the games experts, nor cannot enhance the performance by learning. In this paper, we suggest our approach to overcome those limitations as follows. First, we collects Janggi expert's game data, which can reflect abundant real game results. Second, we create a graph structure by using the game data, which can remove redundant movement. And third, we apply the reinforcement learning algorithm and MCTS algorithm to select the best next move. In addition, the learned graph is stored by object serialization method to provide continuity of the game. The experiment of this study is done with two different types as follows. First, our system is confronted with other AI based system that is currently being served on the internet. Second, our system confronted with some Janggi experts who have winning records of more than 50%. Experimental results show that the rate of our system is significantly higher.

• International Journal of Contents
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• v.16 no.2
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• pp.78-91
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• 2020

In this study, an investigation was conducted into the influencing factors for the learning motivation of players in the game, including experience, vicarious experience, the need of achievement, the need of power, and mastery motivation. Then, a discussion was conducted regarding the role played by learning motivation, learning performance, and satisfaction with continuous use. A survey was conducted with 519 players, most at the intermediate gaming level in . As demonstrated by the results of this study, experience, vicarious experience, the need of power, and the mastery of motivation have significant positive association with the players' motivation of learning the game. Learning performance and satisfaction have a positive impact on the continuity of use. Additionally, the correlation between the need of achievement and learning motivation is insignificant. Overall, the research results confirm the significance of the social-cognitive theory relative to the learning motivation. Players began to transform, satisfied with their achievements in the game, as well as gradually evolving toward self-improvement to achieve satisfaction. It offers a new explanation and crucial reference for mastering the gaming trend among the contemporary players.

• 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.