• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.232-237
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• 2021

Pre-Corona cultural content was largely formed face to face. For example, the service was great while visiting tourist attractions, visiting performances to see K-Pop, or visiting lectures to learn K-Beauty. However, after the coronation, the virtual world-centered Metaverse began to take the spotlight as non-face-to-face services changed. IT and cultural contents have been combined and developed into various digital services. In that sense, Metaverse, which breaks the boundaries between real-world space and virtual space, has the potential to escape from physical time and space constraints. However, Korea still lacks a Metaverse platform for cultural content. In particular, it is necessary to match each other's necessary services by providing Metaverse -oriented cultural contents that users want, including experienced cultural contents such as K-pop and K-beauty, away from cultural contents that are developed around history museums. Therefore, in this paper, we would like to propose a Metaverse-based cultural content matching platform where users can experience cultural content directly or indirectly.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.3
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• pp.853-873
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• 2021

In recent years, deep reinforcement learning (DRL) models are enjoying great interest as their success in a variety of challenging tasks. Deep Q-Network (DQN) is a widely used deep reinforcement learning model, which trains an intelligent agent that executes optimal actions while interacting with an environment. This model is well known for its ability to surpass skilled human players across many Atari 2600 games. Although DQN has achieved excellent performance in practice, there lacks a clear understanding of why the model works. In this paper, we present a visual analytics system for understanding deep Q-network in a non-blind matter. Based on the stored data generated from the training and testing process, four coordinated views are designed to expose the internal execution mechanism of DQN from different perspectives. We report the system performance and demonstrate its effectiveness through two case studies. By using our system, users can learn the relationship between states and Q-values, the function of convolutional layers, the strategies learned by DQN and the rationality of decisions made by the agent.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2021.06a
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• pp.105-108
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• 2021

Generative adversarial networks (GANs) have reached a great result at creating the synthesis image, especially in the face generation task. Unlike other deep learning tasks, the input of GANs is usually the random vector sampled by a probability distribution, which leads to unstable training and unpredictable output. One way to solve those problems is to employ the label condition in both the generator and discriminator. CelebA and FFHQ are the two most famous datasets for face image generation. While CelebA contains attribute annotations for more than 200,000 images, FFHQ does not have attribute annotations. Thus, in this work, we introduce a method to learn the attributes from CelebA then predict both soft and hard labels for FFHQ. The evaluated result from our model achieves 0.7611 points of the metric is the area under the receiver operating characteristic curve.

• Korean Medical Education Review
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• v.11 no.2
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• pp.33-37
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• 2009

Teaching and learning were carried out long before the word "education" was coined. As teaching and learning became more universal, the word "education" was construed as a social promise, and there was a general consensus as to what it denoted. Many university professors will most likely have great confidence and expertise with respect to "teaching" in their area of specialization, and they believe that they are fulfilling a social promise. However, how much expertise do they have in actually making students "learn"? How concerned are professors about enabling students to utilize their potential and talents to cultivate their learning abilities and to adjust to the different demands of various fields? The same issue arises in medical education. To what extent can professors' teaching heighten students' sense of purpose and motivation to learn? With regard to increasing learners' initiatives, the learning model of constructivism presupposes that learners are active and creative, have their own personalities, and possess unlimited learning potential. The PBL being carried out in medical schools today is a form of study that can take advantage of these aspects of learners. They can maximally widen the range of students' development through many intellectual activities and solve difficult problems by either sharing or critiquing the thoughts and ideas of others. The acts of teaching and learning that have been carried out for thousands of years remain difficult to this day and must be ceaselessly deliberated and researched by experts in the field of education. Just as good teachers are required to produce good learners, we must give ourselves room to rethink the basis of education in order to maximize effective and efficient learning.

• Journal of The Korean Association of Information Education
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• v.13 no.2
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• pp.225-236
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• 2009

According to the revised guideline for information & communication technology, algorithm has to be dealt with the learning contents from elementary school, so now it needs to study various educational methods for students to learn algorithm easily and effectively. In this study, after selecting sort algorithms as the content of learning, which is recognized as an important part of algorithm, an playing activity-based algorithm teaching method and an animation-based algorithm learning and teaching method were applied for the lower graders of an elementary school. Sorting algorithm education is adopted in two different ways, then we got two conclusions after analyzing the results of a specially designed achievement test and the questionnaire. First, there were not great differences in both educational methods in academic achievement, but it was clear that the lower grade elementary students can learn algorithm with ease. Second, the playing activity-centered algorithm education is more effective than animation-based education in improving students' comprehension, interest and satisfaction.

• Journal of the Korea Convergence Society
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• v.8 no.6
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• pp.209-218
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• 2017

Flipped Learning is being suggested which is well known as a teaching method which lets students learn the contents they will learn in advance through the advance online video and have a discussion through the team interaction in the main class for them to solve the assignment through the cooperation in a self-initiated way. Therefore, this study was intended to confirm if the flipped learning class could improve the students' learning ability and raising the interest in math by complementing the problem on the lecture-type class by applying the flipped learning class to the college basic math subject. As a result, in the unit test result, the average score of the experimental group was more than 20 higher than one of the control group indicating that Flipped Learning had a great effect on improving the learning ability, and as for the introspection journal analysis, many subjects from the experimental group showed the positive attitude toward math they felt difficult unlike ones from control group indicating that it was effective in improving the interest level.

• Korean Educational Research Journal
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• v.40 no.2
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• pp.17-33
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• 2019

This study examines the fundamental ethics of practice that Dasan Jung Yak-yong(1762-1836) argued at the book, "Dàxuégōngyì大學公議, The Public debate of Great Learning", by investigating the relationship between main agents of education. "Dàxuégōngyì", the book that Dasan wrote when he was 53 years old at his exiled place, Gangjin. As the title suggested, Dàxuégōngyì, it could be recognized as the impartial view based on the critical perspective to Zhūxǐ(朱憙)'s opinion. Zhuxi focused on the importance of "Great Learning 大學" as a study of the Great people and argued that "Great Learning" is the study for all the people should learn. On the other hand, Dasan claimed that "Tàixuézhīdào太學之道" in "Great Learning" is the study for the prince, not for the normal people. And he also interpreted "Dàxué 大學" as the school for teaching prince. In addition, "Great Learning" suggested the three practical principles; to illustrate illustrious virtue; to renovate the people; and to rest in the highest excellence. However, Dasan argued different way and emphasized three ethics of practice; filial piety(孝), admiration(弟), mercy(慈) and regarded as illustrious virtue of "Great Learning." He denied the three principle of "Great Learning" that Zhuxi reorganized and suggested including renovating the people(新民), and provided that close to the people(親民) is one of the main principles of "Great Learning." According to Dasan, if the king practices these three ethics of practice including filial piety, admiration, and mercy, so that the people will practice these ethics voluntarily. In other words, he indicated that the practice of three ethics is not only for the prince in the loyal family, but also for principles to educate the people in the nation. Thus, three ethics by Dasan including filial piety, admiration, and mercy could be recognized as the symbol of humanity. In other words, Dasan's three ethics in "Great Learning" can be recognized as the practical principles including educational issues and educational interactions. If these three ethics can be referred as the symbol of humanity as mentioned above, the implicit educational interactions are specifically constructed within the basic assumptions. Therefore, it is possible to clarify the specific ethics of practice by the indicating specific subjects and objects in the educational interactions between these three ethics of practice. Also, it helps more clear comprehension about the "Dàxuégōngyì大學公議, The Public debate of Great Learning", by Dasan.

• Journal of Korean Society of Steel Construction
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• v.12 no.5 s.48
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• pp.605-615
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• 2000

Cerebellar model articulation controller (CMAC) is introduced and used for the identification of structural dynamic model. CMAC has fascinating features in learning speed. It can learn structural response within a few seconds. Therefore it is suitable for the real time identification structures. Real time identification is required in the control of structure which may be damaged or undergo severe change in mechanical properties due to shrinkage or relaxation etc. In numerical examples, it is shown that CMAC trained with the dynamic response of three-story building can predict responses under not trained earthquakes with allowable error. Finally, CMAC has great potential in structural and control engineering.

• English Language & Literature Teaching
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• v.17 no.2
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• pp.181-197
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• 2011

The purpose of this study is to measure how English immersion classes affect students. This study seeks to answer two questions. First, will the young learners gain an international sense? Second, will the students learn English naturally without having to be sent abroad to an English speaking country? Several kinds of immersion programs have been designed and implemented in Korea. However, many students have felt great stress and mental pressure in the immersion programs. Students find the programs stressful because English must be used at all times. In this paper, two groups of elementary school students are compared: one being the control group and the other being the experimental group, an immersion class. The results show that the mental health problems, sensitivities, and rates of depression in the immersion group are greater than those of the students in the control group. Therefore, the immersion students' overall mental health is substandard. The negative effects of lethargy and depression are made worse when they are placed in English only environments. The results indicate more attention should be focused on respecting and understanding the students' overall mental health when teaching them English.

• English Language & Literature Teaching
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• v.12 no.3
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• pp.167-186
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• 2006

We live in a global village that requires a language with a genuinely global status as a means of communication. During the twentieth century, English has clearly emerged as the lingua franca owing to both past British political imperialism and the more recent superpower status of the United States. Further contributing to world domination of the English language is the fact that the computer and Internet sprang from the US. Whether you like it or not, you are destined to learn English at least to some extent in order to live in this global village. For the last two decades, one of the most mistaken ideas a number of Korean English teachers have had is that speaking and listening are the primary forms of language, while reading and writing are secondary. In fact, reading is regarded as a skill of much consequence to us since it provides us with access to a huge quantity of information on the Internet, of which at least 80% is written in English. Writing, too, deserves a great deal of attention because we are increasingly called upon to use standard English expressions. As diligent learners of English, we had better not forget the place accorded to language not only as a medium for exchange and constructing information but as a tool for thinking. So we should try to think in English to the point where we have thinking-in-English as a habit, thereby leading to increased familiarity with the language. Such familiarity entails, above all, possessing a command of English.