• Journal of Korea Game Society
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• v.21 no.5
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• pp.75-86
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• 2021

This study examines the access index to the development of immersive contents suitable for elementary school users. The findings of this study can be used as a correct development guide for companies participating in the production of virtual reality sports room contents, by providing users with an effective content experience of education and physical exercise based on the immersive content of sports, physical education, and convergence learning linked with various sensor technologies. As for the research method, this study selected content developed based on the standardization guide of the supporting institution. Through research using expert advice, interviews with sports managers, and content experience survey, this study derived a content access standard index of the virtual reality sports room. Finally, the study verified the developed contents through advanced development applying the production standard indicators.

• Journal of the Korea Society of Computer and Information
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• v.18 no.8
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• pp.17-25
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• 2013

TIn this paper, we propose a model automatically scoring a student's answer for a descriptive problem by using a voting method. Considering the model construction cost, the proposed model does not separately construct the automatic scoring model per problem type. In order to utilize features useful for automatically scoring the descriptive answers, the proposed model extracts feature values from the results, generated by comparing the student's answer with the answer sheet. For the purpose of improving the precision of the scoring result, the proposed model collects the scoring results classified by a few machine learning based classifiers, and unanimously selects the scoring result as the final result. Experimental results show that the single machine learning based classifier C4.5 takes 83.00% on precision while the proposed model improve the precision up to 90.57% by using three machine learning based classifiers C4.5, ME, and SVM.

• Journal of Fisheries and Marine Sciences Education
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• v.24 no.3
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• pp.416-423
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• 2012

Smartphone and Tablet PC has become a popular. So, various location-based service applications are being made in the field of advertising, games, and search. However, the location-based services application is lacking in the field of education. Therefore, this study proposes a Location-based service application for Tablet PC, which can be take advantage in school. The application was designed with these considerations in mind. First, the application to increase the participation of the students take the form of play. Second, participating students are influencing each other. Third, through the promotion of the cycle has allowed long-term operations. This application will be used usefully in an environment that students use a individual Tablet PC through the spread of e-textbooks.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.778-780
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• 2005

최근 인공지능의 기법을 도입한 게임에 관한 연구가 활발히 진행되고 있다. 특히 신경망의 역 전파 알고리즘을 적용한 게임은 구현이 용이하고 학습이 완료되면 비교적 실행이 빨라서 많은 연구가 진행되고 있지만 기본적인 학습시간이 길고 최적화에 관한 문제점이 존재하고 있다. 이러한 문제점을 개선하고자 본 논문에서는 기존의 역 전파 알고리즘과 강화학습의 Q-learning알고리즘을 모델로 게임에 적용하여 비교 분석 하였다. 실험은 단순한 min-max 알고리즘과 각각 대결하여 승수 와 승율을 중심으로 비교하였고 실험의 결과는 강화학습의 알고리즘이 역 전파 알고리즘에 비하여 비교적 우수한 결과를 제시하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.12
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• pp.4835-4848
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• 2020

The recent expansion of the digital content market is increasing the technical demand for various facial image transformations within the virtual environment. The recent image translation technology enables changes between various domains. However, current image-to-image translation techniques do not provide stable performance through unsupervised learning, especially for shape learning in the face transition field. This is because the face is a highly sensitive feature, and the quality of the resulting image is significantly affected, especially if the transitions in the eyes, nose, and mouth are not effectively performed. We herein propose a new unsupervised method that can transform an in-wild face image into another face style through radical transformation. Specifically, the proposed method applies two face-specific feature loss functions for a generative adversarial network. The proposed technique shows that stable domain conversion to other domains is possible while maintaining the image characteristics in the eyes, nose, and mouth.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.526-528
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• 2022

In this study, through the capstone design project, an IoT based piano training system was developed after identifying problems in piano learning. The piano training system recognizes sheet music through image processing technology and checks whether the correct keyboard is struck through FFT transformation during piano practicing. By providing a visual effect and score display function using a rhythm game, it was possible to arouse interest in boring piano practice and increase the effect of piano learning.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.42 no.3 s.303
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• pp.17-28
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• 2005

Recently intelligent characters in computer games have been an important element more and more because they continually stimulate gamers' interests. As a typical method for implementing such intelligent characters, neural networks have been used for training action patterns of opponent's characters and game rules. However, some of the game rules can be abruptly changed and action properties of garners in on-line game environments are quite different according to gamers. In this paper, we address how a neural network adapts to those environmental changes. Our adaptation solution includes two components: an individual adaptation mechanism and a group adaptation mechanism. With the individual adaptation algorithm, an intelligent character steadily checks its game score, assesses the environmental change with taking into consideration of the lastly earned scores, and initiates a new learning process when a change is detected. In multi-user games, including massively multiple on-line games, intelligent characters confront diverse opponents that have various action patterns and strategies depending on the gamers controlling the opponents. The group adaptation algorithm controls the birth of intelligent characters to conserve an equilibrium state of a game world by using a genetic algorithm. To show the performance of the proposed schemes, we implement a simple fighting action game and experiment on it with changing game rules and opponent characters' action patterns. The experimental results show that the proposed algorithms are able to make intelligent characters adapt themselves to the change.

• The Journal of the Korea Contents Association
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• v.12 no.10
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• pp.541-554
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• 2012

This study suggests the effectiveness of G-learning English afterschool classes implemented to elementary school students at low achievement level in English. These days, the use of games in teaching and learning, known as G-learning, has gradually expanded, so it is necessary to consider how to adapt G-learning generally in English education. A G-learning afterschool English class was implemented to 23 low-level 5th grade students in an elementary school located in Daejon for 12 weeks. This study set two hypotheses aiming to determine the effectiveness in achievement and affectiveness of the participants. Pre and post achievement tests were conducted. Also, survey and FGI (focused group interview) were carried out twice with the participants. The study found that students' spelling awareness, vocabulary recognition and dialogue comprehension ability (hypothesis 1) were all improved with statistical significance. Moreover, after the class, participants' confidence and interest toward English study showed meaningful increases.

• International Journal of Computer Science & Network Security
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• v.24 no.7
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• pp.157-169
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• 2024

The article presents an analysis of innovative teaching technologies as a way to increase students' competitiveness. The author found that innovative technologies in education are information and communication technologies relying on computer-based learning. The structure, content of educational software, organization of Web-space are important when using innovative teaching technologies in English classes. We conducted the study in several stages: comparative analysis, synthesis, classification and systematization of the results of psychological and pedagogical, educational and methodological research; study of legislative acts, periodicals in order to identify the state of the research issue, and determining the directions of its solution, as well as subject, goal and objectives of the study. We used modelling to create situations of foreign language professional communication of future IT specialists. Empirical methods involved questionnaires used for identifying the motives of professional development and determining the features of the educational activities of future IT specialists in the process of training. The methods of mathematical statistics allowed to scientifically describe and systematize the obtained data, to identify the quantitative relationship between the studied phenomena, to analyse and summarize the results. We conducted a socio-psychological study during 2016 - 2019. It involved 255 first- and fourth-year students of National Technical University of Ukraine "Igor Sikorsky Kyiv Poly-technic Institute." Innovative information and communication technologies that improve the educational and cognitive activity of students, as well as increase the level of their knowledge have become important in teaching a foreign language in higher educational institutions. These technologies include MOODLE - Modular Object-Oriented Dynamic Learning Environment, business game, integrated pedagogical technology, case study technology. Thus, the information-rich learning process in combination with the use of innovative technologies, well-organized e-learning, interactive training courses, multimedia tools improves the program of teaching and learning foreign languages in general, and English in particular, improves the level of knowledge of future IT specialists and motivation to study and learn foreign languages, allows students to use a variety of authentic materials. We state that all these factors influence the process of individualization of learning and contribute to the successful mastery of a foreign language.

• The Journal of Korean Association of Computer Education
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• v.7 no.3
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• pp.91-99
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• 2004

Elementary school students have a great deal of interest in Internet games which provide integrated multimedia and so they become to know well the terminology used in network such as game server, Internet service, transfer time, etc. In addition, they are used to understand the technological phenomena occurring in internet. They, however, have difficulty understanding concepts and principles regarding the phenomena mentioned above because the educational contents in elementary school computer textbooks consist of only ICT education and its applications, i.e., tool-based technology. In this paper, we apply educational learning on network concepts which are the basis on the internet to classroom instruction by using problem oriented models. We conclude that the educational contents in elementary school computer education should be transferred to the area with principles and concepts.