• Journal of Korea Game Society
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• v.16 no.5
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• pp.111-122
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• 2016

The purpose of this study is to suggest an curriculum model of teaching scheme which performs team project learning based on Integrated project with different fields. To address this goal, the present study suggests a practical game project model under the same game-making circumstances as game industry by consisting of real case of convergence parts(game graphic, game design, game program). This project-based learning case has been conducting Integrated project education since 2008 in A educational Institute in Korea. The results of study suggest a standard of Integrated-based curriculum model and it is constructed with two parts. The first part is what students learned during project processing, such as responsibility, communication. The other part is how to construct the educational environment for integrated project. It explains how to organize and build teams, plan of integrated project, rule the role of team task, perform collaborative task, present interim/final presentation, evaluate grade. This study is expected to be utilized as a framework for the instructional design and the guideline for improving learner competency in team project learning.

• Journal of IKEEE
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• v.23 no.4
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• pp.1187-1194
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• 2019

This paper proposes a CNN architecture as value function network of an artificial intelligence Othello game agent and its learning scheme using reinforcement learning algorithm. We propose an approach to construct the value function network by using CNN to learn the records of professional players' real game and an approach to enhance the network parameter by learning from self-play using reinforcement learning algorithm. The performance of value function network CNN was compared with existing ANN by letting two agents using each network to play games each other. As a result, the winning rate of the CNN agent was 69.7% and 72.1% as black and white, respectively. In addition, as a result of applying the reinforcement learning, the performance of the agent was improved by showing 100% and 78% winning rate, respectively, compared with the network-based agent without the reinforcement learning.

• Journal of Korea Game Society
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• v.12 no.5
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• pp.5-12
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• 2012

The information represented by graphic is preferred more than by text to the game generation familiar to computer games in the cognitive style. The learning to solve the math problems represented by graphic is significantly effective to improve learner's problem-solving power in math education. In this paper, we proposed a method of graphic representation of mathematical sentences for effective learning of the game generation. The proposed method arranges the unit informations in the logical structure and represent the logical interrelation between the informations by symbols, line segments, or arrows using the graphic elements with good visibility for the game generation to recognize easily and to understand accurately the logical meaning. The proposed method is able to represent accurately the math sentences until the detail level that appears the tense and the voice of the sentences differently from the previous graphic representation method's ability. The proposed method could be used as learning tools and used widely to represent graphically mathematical informations for the instructional scaffolding of an educational game in oder that the game generation could learn effectively.

• Journal of Korea Entertainment Industry Association
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• v.13 no.6
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• pp.143-153
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• 2019

In order to save lives by recognizing the deteriorating changes of the patients, patient's assessment and reporting should be foundation, but this task is mainly delegated to nursing students or inexperienced nurses. A whisper game is a game in which the first person whisper selects a word, phrase or sentence and delivers it to the team member and finally confirms how many original message have changed during the transmit process. The purpose of this study was to develop a whisper game program to transmit the information of the children included in the DVD using in the pediatric advanced life support process. After four times of games, the experiences of 31 nursing students in the fourth grade were explored by analyzing the reflective journal. The results of the study showed three themes: learning motivation, metacognitive ability, and situated contextual learning. Repeated practice through a whisper game is expected to be widely used because it has been identified as a fresh and interesting learning method that enables nursing students to metacognize the process of assessing patients and conveying information in the contextual situation.

• ETRI Journal
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• v.45 no.4
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• pp.713-723
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• 2023

Game bots are illegal programs that facilitate account growth and goods acquisition through continuous and automatic play. Early detection is required to minimize the damage caused by evolving game bots. In this study, we propose a game bot detection method based on action time intervals (ATIs). We observe the actions of the bots in a game and identify the most frequently occurring actions. We extract the frequency, ATI average, and ATI standard deviation for each identified action, which is to used as machine learning features. Furthermore, we measure the performance using actual logs of the Aion game to verify the validity of the proposed method. The accuracy and precision of the proposed method are 97% and 100%, respectively. Results show that the game bots can be detected early because the proposed method performs well using only data from a single day, which shows similar performance with those proposed in a previous study using the same dataset. The detection performance of the model is maintained even after 2 months of training without any revision process.

• Asia Marketing Journal
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• v.21 no.4
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• pp.77-89
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• 2020

Population-level learning has traditionally been used to provide an explanation for the underlying mechanism of industry change. But it has yet to examine the impact on strategic decisions such as market entry. This conceptual paper aims to provide an insight into how population-level learning affects entry likelihood by acting as a tool for interpreting population-level changes. We study this in the context of the fast-paced mobile gaming industry where population-level information is salient and develop a set of propositions with regard to the likelihood of entry.

• Journal of The Korean Association of Information Education
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• v.18 no.1
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• pp.121-132
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• 2014

The main goal of this research is to invest the difficulties in the process of developing serious game for science learning to acquire the suggestion. We analysed the journals written by developers of game scenario on the procedure of the development and on the review of the accomplished game. Then we also interviewed the scenario developers as well as game developers. When interviewing the game developers, we passed them the thoughts and questions of scenario developers. The possible difficulties in developing serious game are form the difference of cognitions on the skills which can be embodied in the development process and interaction and communication problem between scenario developers and game developers. As a consequence of the research, we acquired some suggestions for developing serious game as follows; 1) Scenario developers and game developers must understand the concepts of serious game as well as learning theory; 2) Both scenario developers and game developers should be aware of secured technological capacity and allowed time period. 3) Scenario developer should take a part of game developer' role as using a learning contents authoring tool; 4) Scenario developers have to consistently interact with game developers in developing the games; 5) Scenario should be concretely described in detail; and 6) A Supervisor is essential to control both scenario developers and game developers.

• Journal of Digital Contents Society
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• v.7 no.4
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• pp.257-261
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• 2006

In this paper, learning oriented puzzle game which based on combination of consonant and vowel of Korean alphabet is implemented. Firstly, consonants and vowels of Korean alphabet are classified separately, and then reconstructed a word in real time. Word combinator is utilized by API based edit window and, in order to effective retrieve, initial combined syllable consonant based method is involved. Implemented Korean puzzle game can be used for improving the words learning capability for children.

• Journal of Korea Game Society
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• v.11 no.6
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• pp.61-70
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• 2011

In this paper, we propose a defense NPC control model in the soccer game by applying the Decision Tree learning algorithm. The proposed model extracts the direction patterns and the action patterns generated by many soccer game users, and applies these patterns to the Decision Tree learning algorithm. Then, the proposed model decides the direction and the action according to the learned Decision Tree. Experimental results show that the proposed model takes some time to learn the Decision Tree while the proposed model takes 0.001-0.003 milliseconds to decide the direction and the action based on the learned Decision Tree. Therefore, the proposed model can control NPC in the soccer game system in real time. Also, the proposed model achieves higher accuracy than a previous model (Letia98); because the proposed model can utilize current state information, its analyzed information, and previous state information.

• English Language & Literature Teaching
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• v.10 no.2
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• pp.133-158
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• 2004

The purpose of the present study was to scrutinize computer games that can motivate elementary school students through their interactive "edutainment" effects. The types of elements in computer games that students find interesting as learning media and their impact were studied. The current status of Korean computer games, issues related to learning English, and methods to stimulate the motivation and interest in learning by elementary school students were explored. A computer game model for efficiently teaching English to elementary school students through a connection between computer games and education was suggested. In this model, overall games were designed with the focus on the integration of curriculum and content subjects related to learning activities. For games not to be biased toward entertainment and to have systemized learning steps, the games are composed of an introduction, presentation, practice, production and evaluation, in that order. The model suggested by this plan and composition make it possible to approach learning efficiently with entertaining games based on a systematic learning curriculum. As shown above, developing the model of educational computer games can be seen as an opportunity, which can provide amusement and interests and a broad learning experience as an additional learning method.