• Journal of the Korean School Mathematics Society
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• v.4 no.1
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• pp.103-114
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• 2001

The purpose of this study is to develop learning materials for functional concept on variable and to verify the effect of how well students could learn functional concept after they studied with those materials. To accomplish the purpose of this study, I developed learning materials and after teaching students with them. I have concluded the followings : First, there was little effect in teaching functional concept on variable between two experimental groups, whereas teaching functional concept had greater effect on forming functional concept in high level groups in those two experimental groups. Second, teaching functional concept on variable had little effect on students' understanding of functional concept and perfecting tables in Black box, graph, and mathematical problems, whereas there was much effect in students' understanding functional concept and solving relation formula, image, and range problems related to everyday life or general things. On the basis of the problems which appeared in the process of this study, the following can be suggested : First, we should develop learning materials fit for low level students so that they could understand functional concept. Second, we should continue to teach the basic problems like solving relation formula, image, and range, and understanding functional concept in graph until students are able to understand them exactly. Third, since the goals of Unit Function in a middle school textbook is to solve problems related to everyday life through functional thinking, there should be change in constructing systematic contents of Unit Function in a middle school textbook.

• Journal of Information Management
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• v.27 no.3
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• pp.61-74
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• 1996

I had a chance to learn about grants made by British Library Research and Development Department in London and the Council on Library Resources in Washington in my studies designed to produce an institutional vision of supporting research and development in the field of library and information science in Japan. In this article, I have tried to elucidate contributions of the two agencies to the librarianship and research communities, reviewing their histories, management process and some features of research areas which meet their standards of providing grants.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.630-634
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• 2008

The purpose of this research is to suggest improvement of web environment to supplement dependency of silver generation as we have aged super aged society ahead. In order to improve web environment for silver generation which has more various obstacles than common people, I examined methods to increase accessibility and usability through expansion of web interface by reinforcing contents structure and function. As a result, the try to increase web usability of web sites related to silver generation was positive, but interface designs are not unified which requires users to learn new skills, and developer produce designs that are not standardized. Therefore, I suggest web environment improvement methods to guide silver generation to be adapted to information society by suggesting solutions such as support for module of operation system and establishment of standardized design.

• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.99-102
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• 2021

The article considers one of the areas of development of artificial intelligence where there is the development of computer intelligent systems capable of performing functions traditionally considered intelligent - language comprehension, inference, use of accumulated knowledge, learning, pattern recognition, as well as learn and explain their decisions. It is found that informational intellectual systems are promising in their development. The article is devoted to intelligent information systems and technologies in educational activities, ie issues of organization, design, development and application of systems designed for information processing, which are based on the use of artificial intelligence methods.

• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.169-172
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• 2021

The article discusses the results of a quantitative analysis of open educational resources in the field of information technology. Study is based on a study of the content of ten platforms that provide access to open resources (OPs). To achieve this goal, we used the following methods: theoretical analysis and generalization of Internet sources to determine the popularity of educational platforms and resources on them; quantitative data analysis to determine the relative proportion of IT courses in various parameters: the relative weight of courses in the IT field in general and on each platform in particular, the language of instruction, the quantitative content by thematic areas. The following platforms providing access to open educational resources were subjected to quantitative analysis: Coursera, Edx, Udemy, MIT OpenCourseWare, OpenLearn, Intuit, Prometheus, UoPeople, Open Learning Initiative, Maidan Open University.

• Quality Improvement in Health Care
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• v.27 no.1
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• pp.2-9
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• 2021

Patient safety remains one of the most important health care issues in Korea. To improve patient safety, we have introduced concepts from the field of safety science such as the Swiss cheese model, and adopted several methodologies previously used in other industries, including incident reporting systems, root cause analysis, and failure mode and effects analysis. This approach has enabled substantial progress in patient safety to be made through undertaking patient safety improvement activities in hospitals that are systems-based, rather than individual-based. However, these methods have the shared limitation of focusing on negative consequences of patient safety. Therefore, the paradigm shift from Safety I to Safety-II in safety science becomes the focus of our discussion. We believe that Safety-II will complement, rather than replace, Safety-I in the discipline of patient safety. In order to continuously advance patient safety practices in Korea, it is necessary that Korea keeps abreast of the recent global trends and development in safety science. In addition, more focus should be placed on testing the feasibility of new patient safety approaches in real-world situations.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.241-248
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• 2011

Past theories on construction price formation have been shown to be inadequate in terms of their ability to represent real-life industry practice and price formation predictability. In this paper, we develop a theoretical framework on construction price formation that integrates four theories within the domains of marketing, learning, resource management and economics. These are: (i) marketing pricing theory; (ii) experiential and organisational learning theory; (iii) resourced based theory and (iv) microeconomic theory. Utilising pricing theory from marketing, a foundation is able to be created for the procedure of construction price formation, namely: (i) identifying the objectives; (ii) assessing the tendering environment; and (iii) formation of the price. However, understanding contractors' decision making process in tender pricing as such can be attributed to theories of experiential learning and consequently organisational learning. It is argued that contractors do learn from past experience and history and are able to adapt to different market conditions. In formation of the price, neoclassical microeconomics is able to provide additional insight in terms of the supply and demand model and consideration of the market conditions. Interrelated with the microeconomic concept of scarcity, we appreciate that contractors do have limited resources that affect their tender pricing decisions and resource based theory is used to substantiate this. Integrating the various theories as a unity allows the broader reality to be visualised and add to our theoretical understanding of construction price formation.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.75-81
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• 2019

Though recent advancement of deep learning methods have provided satisfactory results from large data domain, somehow yield poor performance on few-shot classification tasks. In order to train a model with strong performance, i.e. deep convolutional neural network, it depends heavily on huge dataset and the labeled classes of the dataset can be extremely humongous. The cost of human annotation and scarcity of the data among the classes have drastically limited the capability of current image classification model. On the contrary, humans are excellent in terms of learning or recognizing new unseen classes with merely small set of labeled examples. Few-shot learning aims to train a classification model with limited labeled samples to recognize new classes that have neverseen during training process. In this paper, we increase the backbone depth of the embedding network in orderto learn the variation between the intra-class. By increasing the network depth of the embedding module, we are able to achieve competitive performance due to the minimized intra-class variation.

• Journal of The Korean Astronomical Society
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• v.38 no.2
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• pp.329-332
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• 2005

The purpose of the East Asian Young Astronomers Meeting (EAYAM) is to provide a chance for young astronomers from or working in China, Korea, Japan, and Taiwan to meet, learn about each other's scientific research, exchange ideas and cultural views, and find out more about leading research facilities in the different member regions. I report on the inaugural EAYAM held in Taiwan in 2003, and the future of this meeting. The purpose of the EAMA Schools is to teach young astronomers how to make best use of the research facilities of member regions. The first EAMA school is currently being organized to better inform young astronomers on using the SUBARU telescope.

• Asia pacific journal of information systems
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• v.6 no.2
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• pp.5-17
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• 1996

There are various cases that we vote for making a decision or combining ideas (i.e. human being's opinions) in group meetings. Group Decision Support System(GDSS) provides us with a number of voting methods for decision making or aggregation of the ideas. It is generally difficult to select a voting method appropriate for given a meeting situation, without any aid of experts or computers having a knowledge on voting. In this paper we propose a supporting system for selecting an appropriate voting method. Since the selected method is recommended to the facilitator of GDSS, a part of time and effort related with the voting would be reduced. The knowledge in the system is represented as rules that are inductively generated from examples of voting. We used UNiK-INDUCE with ID3 algorithm so as to learn, which is a tool of developing expert systems.