• The Journal of the Korea Contents Association
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• v.6 no.8
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• pp.133-143
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• 2006

Today, most of games permit interaction between user and game freely. Therefore it is difficult to progress the story-line of the primary stage. Especially in educational game surroundings, we have more difficulties in achieving original purpose of education. In this paper, we proposed the applied model of mini-game which was inserted into main-game in order to control interaction between user and game. On the basis of this model, we derived valuation elements by mini-game implementation types from developing the educational game in which involved mini-game. We looked around whether the educational game achieved the educational goal of first stage or not. Comparing with some excellent ones picked up by public authorities, we evaluated the educational game. As the result of evaluation, we could find that the application of mini-game had very high effectiveness in attainment of teaming goal, studying of well-balanced, and induction of learning motivation. And we found that the application also had very affirmative effect to the practical objects of primary stage in overall sphere.

• Journal of Korea Game Society
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• v.8 no.2
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• pp.107-118
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• 2008

The world is changing fast from the information society to the knowledge society as the amount of knowledge exploded over through development of the information communication technology. Much efforts to use serious fames for students' learning is being made actively via international and domestic. It is expected that the results of this study would suggest how to utilize serious games in learning and training. The purpose of this study is to totally understanding of serious games that made to achieve educational goal based on specific character of game in which make flow, goal achievement, satisfaction. For this, introduce the game-based learning model to apply education and training, and trends development of serious games.

• Journal of Digital Contents Society
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• v.14 no.2
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• pp.235-245
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• 2013

Recent national attention on English conversation continued, smartphone game has emerged into the mainstream of game industry. In this study, smartphone serious game that combines english conversation learning and smartphone game for learning english conversation was designed and implemented. English sentence patterns separated words, phrases, and sentences was able to learn step-by-step and repeatedly. Also, Throughout the game of different type by stage was to provide interested. Test results were discovered the problem not causing continuous user interest. To compensate for this, study of a game changes element and difficulty adjusting will be followed.

• Journal of Korea Game Society
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• v.16 no.3
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• pp.7-16
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• 2016

This research aims to suggest a gamified smart learning design for Korean EFL young learners' speaking proficiency. Gamification is the use of game-thinking and game mechanics in non-game contexts to engage users in solving problems. Thus, the gamified smart learning as gamification in education is designed not only to elicit students' participation but also to enhance speaking skills. Especially, this research based on the results of a pilot study is focused on easing the burden of homework as well as engaging the speaking English game for the primary students with a relatively short attention span. The game elements utilized in this study are competition, rewards, customized characterization and so on. Kakao Talk is selected for this gamified smart learning research because of its ease of accessibility, and multiple applicable functions for language learning such as voice recording, text messaging and sharing videos or photos. Gamification in smart learning can be a means of productive approach to contemporary EFL teaching and learning.

• Journal of the Korean Operations Research and Management Science Society
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• v.26 no.1
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• pp.61-69
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• 2001

This paper presents a two stage game model which examines the effect of learning-by-doing and spillover. Increases in the firm’s cumulative experience lower its unit cost in future period. However, the firm’s rival also enjoys the experience via spillover. Unlike previous theoretical research model, a cost asymmetric market entry game model is developed between the incumbent firm and new entrant. Mathematical results show that the incumbent firm exploits the learning curve to gain future cost advantage, and that the diffusion of learning to the new entrant induces the incumbent firm to choose decreasing output strategically. As a main result, we show that the relative magnitude between the learning and spillover rate determines the market share ratio of competing firms.

• Journal of the Korea Society of Computer and Information
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• v.11 no.4 s.42
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• pp.17-25
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• 2006

An intelligent game has been studied for some time, and the main purpose of the study was to win against human by enhancing game skills. But some commercial games rather focused on adaptation of the user's behavior in order to bring interests on the games. In this study, we are suggesting an adaptive reinforcement learning algorithm, which focuses on the adaptation of user behavior. We have designed and developed the Othello game, which provides large state spaces. The evaluation of the experiment was done by playing two reinforcement learning algorithms against Min-Max algorithm individually. And the results show that our approach is playing more improved learning rate, than the previous reinforcement learning algorithm.

• Journal of Internet Computing and Services
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• v.10 no.3
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• pp.9-15
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• 2009

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. This paper used reinforcement learning algorithm for board characters to learn, and so they can move intelligently. 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 far more improved on learning speed.

• The Journal of Korean Association of Computer Education
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• v.6 no.2
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• pp.157-164
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• 2003

To enhance the effect of learning in vocabulary learning, it is important first of all for learner to take active learning and be interested in learning, not cramming education. Due to this background, the instructor sometimes takes advantage of the game concepts in producing the courseware for vocabulary learning. But because of overwhelming overload in making the game-based courseware, it have been not made practical application to vocabulary learning. In this research, we study on the strategy for making practical application of the game concept to producing the courseware for vocabulary learning. And, based on the strategy, we design and implement the authoring tool of courseware for vocabulary learning based on crossword puzzle game. This tool enables instructor to produce the courseware based on crossword puzzle game easily and quickly and to make efficiently the courseware for vocabulary learning with level.

• 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 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.