• The Journal of Society for e-Business Studies
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• v.22 no.4
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• pp.193-214
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• 2017

It is a very important time to check how SW curriculum is actually organized and what is inadequate to practical requirements of SW manpower in the present situation where there is a difference of viewpoints between software field and SW curriculum of university. In overseas cases, efforts have already been made to cultivate SW manpower based on SW training centered on practical requirements. As a result, there is a positive response to the recruitment of actual related companies. In Korea, these attempts have been attempted under government initiative. In particular, based on the SW-centered university project, it has given the role of a leading university in related fields. However, with regard to the labor supply problem in the SW sector, the requirements of the business enterprises still differ from the educational curriculum. In this study, we tried to diagnose the method that can reduce the difference between the composition and the practice of the contents according to the existing limit that the environment factor of the viewpoint of the working companies about the curriculum composition is not clearly reflected. As a result, the topic modeling based on the university's curriculum and lecture plan data is used to derive keywords for curriculum and lecture plan. Through the data analysis, this study confirmed that the practice rate of related university departments utilized in data analysis is relatively low. In addition, we found that it is important to establish a systematic curriculum and to build a lecture plan to cultivate practical skills, as the number of overlapping textbooks and the number of keyword overlapping are found.

• Journal of Korea Technology Innovation Society
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• v.15 no.2
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• pp.299-322
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• 2012

Biotechnology is considered a new propeller to national economic growth. Although BT-based converging technology is one of keywords in nowadays, few studies analyze the characteristics of Korean BT convergence market. This study has conducted the analysis of BT-based converging technology market by using patent database in KIPO (Korean Intellectual Property Office) from 2000 to 2010. We, especially, have classified BT convergence into homogeneous and heterogeneous ones, and compare the nature of BT convergence market with that of non-convergence one. To achieve the object of this study, the following methods are used: concentration across IPC technological classes; concentration of patenting activity across firms; PFS (Patent Family Size) index. Furthermore, according to FOS technology-industry table, we have intended to find new converging industry of BT heterogeneous converging technologies. As very few studies have focused on Korean converging technology market so far, this analysis is considered to be meaningful. It is found that the market of BT converging technology is rather robust than that of BT non-converging one, which refers that BT convergence shows the tendency of concentration towards few technologies by few conglomerate firms in Korea. Meanwhile, we have derived a BINET keyword map to research the convergence of sub-technologies in detail and the related industries. We expect the implications of this study to be utilized in establishing the BT-based converging technology policy.

• Knowledge Management Research
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• v.22 no.2
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• pp.1-17
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• 2021

In this study, we predicted the bitcoin prices of Bithum and Coinbase, a leading exchange in Korea and USA, using ARIMA and Recurrent Neural Networks(RNNs). And we used news articles from each country to suggest a separated RNN model. The suggested model identifies the datasets based on the changing trend of prices in the training data, and then applies time series prediction technique(RNNs) to create multiple models. Then we used daily news data to create a term-based dictionary for each trend change point. We explored trend change points in the test data using the daily news keyword data of testset and term-based dictionary, and apply a matching model to produce prediction results. With this approach we obtained higher accuracy than the model which predicted price by applying just time series prediction technique. This study presents that the limitations of the time series prediction techniques could be overcome by exploring trend change points using news data and various time series prediction techniques with text mining techniques could be applied to improve the performance of the model in the further research.

• Journal of KIISE:Software and Applications
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• v.37 no.3
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• pp.214-221
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• 2010

The search-results clustering problem is defined as the automatic and on-line grouping of similar documents in search results returned from a search engine. In this paper, we propose a new search-results clustering algorithm specialized for a paper search service. Our system consists of two algorithmic phases: Category Hierarchy Generation System (CHGS) and Paper Clustering System (PCS). In CHGS, we first build up the category hierarchy, called the Field Thesaurus, for each research field using an existing research category hierarchy (KOSEF's research category hierarchy) and the keyword expansion of the field thesaurus by a word clustering method using the K-means algorithm. Then, in PCS, the proposed algorithm determines the category of each paper using top-down and bottom-up methods. The proposed system can be used in the application areas for retrieval services in a specialized field such as a paper search service.

• Journal of East-West Nursing Research
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• v.26 no.2
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• pp.118-129
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• 2020

Purpose: The purpose of this study was to analyze the topic trend of domestic simulation nursing education research using text network analysis(TNA). Methods: This study was conducted in four steps. TNA was performed using the NetMiner (version 4.4.1) program. Firstly, 245 articles from 4 databases (RISS, KCI, KISS, DBpia) published from 2008 to 2018, were collected. Secondly, keyword-forms were unified and representative words were selected. Thirdly, co-occurrence matrices of keywords with a frequency of 2 or higher were generated. Finally, social network-related measures-indices of degree centrality and betweenness centrality-were obtained. The topic trend over time was visualized as a sociogram and presented. Results: 178 author keywords were extracted. Keywords with high degree centrality were "Nursing student", "Clinical competency", "Knowledge", "Critical thinking", "Communication", and "Problem-solving ability." Keywords with high betweenness centrality were "CPR", "Knowledge", "Attitude", "Self-efficacy", "Performance ability", and "Nurse." Over time, the topic trends on simulation nursing education have diversified. For example, topics such as "Neonatal nursing", "Obstetric nursing", "Pediatric nursing", "Blood transfusion", "Community visit nursing", and "Core basic nursing skill" appeared. The core-topics that emerged only recently (2017-2018) were "High-fidelity", "Heart arrest", "Clinical judgment", "Reflection", "Core basic nursing skill." Conclusion: Although simulation nursing education research has been increasing, it is necessary to continue studies on integrated simulation learning designs based on various nursing settings. Additionally, in simulation nursing education, research is required not only on learner-centered educational outcomes, but also factors that influence educational outcomes from the perspective of the instructors.

• Korean Journal of Child Education & Care
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• v.17 no.4
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• pp.163-185
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• 2017

This study set out to investigate the joint homeroom teacher system with two regular teachers at early childhood education institutions in a realistic manner, thus contributing to its application to the field, establishing a system of teachers with professionalism, and providing basic data to create and manage the collaborative capabilities of teachers. For these purposes, the investigator collected and analyzed data from 13 semi-structured individual and group interviews with 16 teachers at K Kindergarten in Gyeonggi Province, eight field observations, and four participant observations for about three months from April to July, 2017. The data were analyzed in the stages of qualitative data analysis involving keyword categories, classification, and discovery of sub-themes. Based on the findings, the study categorized the collaborative management of the joint homeroom teacher system with two regular teachers into "job performance," "difficulties," "institutional supports" and "changes." These findings lead to an expectation that the introduction of the joint homeroom teacher system with two regular teachers will establish a foundation for higher quality of education through the process and changes of collaborative management between two teachers with professionalism.

• Journal of Digital Convergence
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• v.10 no.10
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• pp.129-137
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• 2012

Entering $21^{st}$ Century, the most critical keyword for companies is change and innovation. To achieve it, Obtaining right person becomes more and more important to those companies. It is not only supported by managers in business world but also by academia. However it is not easy to obtain right persons who have right experiences and knowledges. Therefore, the purpose of this study is to build strategic system which support help to hire and manage human resource. In this study, the suggested system is a type of strategic simulation game and job seeker can get several opportunities to be hired by joining the game. this system would help for companies to manage and hire right persons and there will be extra business opportunities. In conclusion, this system based on strategic simulation game would help human resource management and also promote job market and exchanging and trading companies' information and knowledge as well.

• The Journal of Korean Association of Computer Education
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• v.20 no.5
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• pp.15-33
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• 2017

The 2015 revised educational curricula focused on creative and convergent student education, so the importance of informatics education is arising along with emphases on its teaching and learning methods. This study has analyzed the research trend of teaching and learning methods and suggested their implications by selecting 179 studies of same keyword searching from 2000 to the present years and classifying them into 16 categories. This analysis showed that problem based learning was the most researched topic on these subjects, while unplugged learning, Creative Problem Solving model and peer teaching were among the actively studied topics. In the content domain of informatics curriculum, the problem solution and programming was most researched. This study is expected to suggest implications for not only studying informatics education research but also selecting teaching and learning methods in the field of class for teachers.

• Journal of the Korea Society of Computer and Information
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• v.25 no.3
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• pp.109-115
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• 2020

In this paper, we propose an artificial intelligence(AI) technology analysis using partial least square(PLS) regression model. AI technology is now affecting most areas of our society. So, it is necessary to understand this technology. To analyze the AI technology, we collect the patent documents related to AI from the patent databases in the world. We extract AI technology keywords from the patent documents by text mining techniques. In addition, we analyze the AI keyword data by PLS regression model. This regression model is based on the technique of partial least squares used in the advanced analyses such as bioinformatics, social science, and engineering. To show the performance of our proposed method, we make experiments using AI patent documents, and we illustrate how our research can be applied to real problems. This paper is applicable not only to AI technology but also to other technological fields. This also contributes to understanding other various technologies by PLS regression analysis.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.568-579
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• 2016

This study tried to design survey questions to inquire continuity in the English curriculum between elementary and middle school by integrating English teachers' opinions. To achieve this goal, the authors designed three-step development procedure. First, to set fundamental structure of the research, the researchers elicited main keywords by adopting Keyword Extraction toward precedent studies. Next, implemented a survey to 102 English teachers and analyzed their quantitative and qualitative responses. Among them, 22 teachers were selected as interviewee. Based on the results drawn from the pilot survey and the interview, this study suggested a survey, containing 40 questions designed to examine seven factors and 3 open-ended questions, to be utilized in researching cognition of continuity of the English curriculum.