• Journal of The Korean Association of Information Education
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• v.11 no.2
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• pp.167-176
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• 2007

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. In this situation, mobile learning based on the mobile devices (PDAs, Cellular phone, Tablet PC, etc) offers the opportunity to assist each individual and group to learn anytime, anywhere. The purpose of this study is to discuss development direction of game styled contents for mobile learning. we introduce the development direction and prototypes of mobile learning contents focused on game-styled activities as the alternative to make up for the weak points of the mobile devices.

• Journal of Korea Game Society
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• v.10 no.4
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• pp.35-48
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• 2010

The purpose of the present study was to suggest basic word lists and contents of English for mobile games and to propose how to apply basic word lists to mobile games for English vocabulary learning because it is possible that some potential advantages of mobile games can provide elementary school students with new learning environment for English vocabulary learning. To support this idea, firstly, the basic word lists were selected from essential word lists in the national English curriculum, the word lists from textbooks, and five randomly chosen word books. Secondly, mobile games were examined and appropriate mobile games for learning English words was selected. Lastly, the basic word lists for mobile games were applied to the selected game.

• Journal of Digital Contents Society
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• v.10 no.1
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• pp.17-26
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• 2009

Recently, an interest in mobile games is increasing according to the extension of the high speed network infra and the development of mobile devices. Specially, the mobile game for learning can help to reinforce an academic performance and an interest for a brief time anytime anywhere. Thus, we propose new mobile contents named V-Killer which combines learning with a game. V-Killer is a word puzzle game which has functions of ranking and searching. The game can get feedback on your learning or progress and choose the degree of difficulty according to the ability of the user. The game lead to an interaction of user and games as sets questions by user, in addition, it is easy to operate and has a simple construction. In the paper, we implement the proposed game on the mobile and present the game.

• 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.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.7
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• pp.3413-3430
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• 2017

With the fast increasing popularity of mobile services, ubiquitous mobile devices with enhanced sensing capabilities collect and share local information towards a common goal. The recent Mobile Crowd Sensing (MCS) paradigm enables a broad range of mobile applications and undoubtedly revolutionizes many sectors of our life. A critical challenge for the MCS paradigm is to induce mobile devices to be workers providing sensing services. In this study, we examine the problem of sensing task assignment to maximize the overall performance in MCS system while ensuring reciprocal advantages among mobile devices. Based on the overlapping coalition game model, we propose a novel workload determination scheme for each individual device. The proposed scheme can effectively decompose the complex optimization problem and obtains an effective solution using the interactive learning process. Finally, we have conducted extensive simulations, and the results demonstrate that the proposed scheme achieves a fair tradeoff solution between the MCS performance and the profit of individual devices.

• 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.14 no.4
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• pp.95-104
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• 2014

In this research, we investigated the effect of arithmetic learning utilizing mathematical mobile application on arithmetic fluency and learning motivation of underachieving students in math. 24 4th grade math underachievers were divided into control and experimental groups. Arithmetic learning utilizing mathematical mobile application was conducted for experimental group and arithmetic learning utilizing learning worksheets was conducted for comparative group. After three weeks, the experimental group showed increase in math fluency and motivation compared to control group. Implications are discussed.

• Journal of Convergence for Information Technology
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• v.9 no.2
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• pp.108-114
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• 2019

In this paper, we propose an intelligent vocabulary recommendation agent that automatically provides vocabulary corresponding to game-based learners' needs and requirements in the mobile education augmented reality game environment. The proposed agent reflects the characteristics of mobile technology and augmented reality technology as much as possible. In addition, this agent includes a vocabulary reasoning module, a single game vocabulary recommendation module, a battle game vocabulary recommendation module, a learning vocabulary list Module, and a thesaurus module. As a result, game-based learners' are generally satisfied. The precision of context vocabulary reasoning and thesaurus is 4.01 and 4.11, respectively, which shows that vocabulary related to situation of game-based learner is extracted. However, In the case of satisfaction, battle game vocabulary(3.86) is relatively low compared to single game vocabulary(3.94) because it recommends vocabulary that can be used jointly among recommendation vocabulary of individual learners.

• Journal of the Korea Institute of Building Construction
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• v.22 no.2
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• pp.219-228
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• 2022

In this study, to improve educational motivation and learning outcomes, a mobile app using game elements was developed, and the effect of its application in rebar work education was analyzed. Using the 4F(Figure out-Focus-Fun design-Finalize) process, which is a game development model, a mobile learning app for rebar work was developed that considers the characteristics of college students familiar with smartphone use, and the app was developed in a manner that utilizes game mechanics such as learning missions and points to stimulate a learner's interest and improve educational motivation. The results show that the proposed app for rebar work is positively evaluated in terms of interface style, perceived usefulness, perceived ease of use, perceived enjoyment, attitude toward using, and intention to use. Therefore, it can be concluded that using the learning game app for rebar work in classes can contribute to improving a learner's performance in various aspects.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.648-651
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• 1997

This paper proposes methods for the cooperative control of multiple mobile robots and constructs a robotic soccer system in which the cooperation will be implemented as a pass play of two robots. To play a soccer game, elementary actions such as shooting and moving have been designed, and Q-learning, which is one of the popular methods for reinforcement learning, is used to determine what actions to take. Through simulation, learning is successful in case of deliberate initial arrangements of ball and robots, thereby cooperative work can be accomplished.