• Informatization Policy
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• v.23 no.1
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• pp.3-19
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• 2016

The purpose of the study is to analyze the existing literature and to suggest future research directions in the big data security area. This study identifies 62 research articles and analyses their publication year, publication media, general research approach, specific research method, and research topic. According to the results of the analyses, big data security research is at its intial stage in which non-empirical studies and research dealing with technical issues are dominant. From the research topic perspective, the area demonstrates the signs of initial research stage in which proportion of the macro studies dealing with overall issues is far higher than the micro ones covering specific implementation methods and sectoral issues. A few promising topics for future research include overarching framework on big data security, big data security methods for different industries, and government policies on big data security. Currently, the big data security area does not have sufficient research results. In the future, studies covering various topics in big data security from multiple perspectives are anticipated.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.281-289
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• 2023

The purpose of this study was to analyze the research trends of Korean articles on early childhood software education. For this purpose, 55 articles published in domestic KCI journals on the topic of early childhood software education from 2017 to 2022 were selected for analysis and analyzed according to the year of publication, research method, and research topic. The results showed that, first, research on early childhood software education in Korean journals was first published in 2017 and continued to be conducted every year until 2022. Second, in terms of research methods, the research type was 'quantitative research,' the data collection method was 'literature survey,' and the data analysis methods were 'descriptive statistical analysis' and 'literature analysis.' In addition, 'infants' and 'kindergarten teachers' were the most common research subjects. Third, the analysis of research topics showed that 'analyzing the relationship between variables in early childhood software education' was the most common. Based on these results, we recommended research topics on early childhood software education for the future.

• Journal of the Korean Society of Costume
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• v.66 no.5
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• pp.163-173
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• 2016

As the severity of environmental problems has come to light in recent times environmental protection has garnered more interest and importance. The purpose of this study was to determine the current research trends in ecofriendly fashion in Korea by analyzing the research trends related to eco fashion, provide information necessary for developing eco and eco-friendly fashion in the future, and set the research direction for related research. The study analyzed 1,746 research papers in Journal of Korean Society of Costume, Journal of the Korean Society of Clothing and Textiles, Research Journal of the Costume Culture, and Journal of the Korea Fashion and Costume Design Association from 2010 to 2014, and a total of 55 research papers related to eco fashion were selected. Major conclusions of the study are as follows: First, Journal of the Korean Society of Clothing and Textiles published the most papers on eco fashion, Journal of the Korea Fashion and Costume Design Association published the fewest. Second, the highest number of research papers published in a year was 14 in 2014. Only a small number of papers were published in 2012, but the figure increased in 2014. Third, the most frequently covered topic among the 12 topics was the 'eco-friendly' topic with 13 papers (23.64%), followed by topics on corporate social responsibility (CSR), eco, sustainable, green, ethical, and recycle, respectively. The 7 topics above were covered by 47 of the selected 55 papers (85.45%). Fourth, the following research methods were used: the questionnaire method, literature review, case study, Internet search, costume construction, online survey and interview. The questionnaire method was used in 22 papers (29.33%), making it the most frequently used method. Fifth, fields of research were divided into fashion design(19 papers, 34.55%) and fashion marketing(36 papers, 65.45%). Papers on fashion design was published the most in 2010, and fashion marketing papers peaked in 2014. The use of eco fashion will be expanded in various ways in terms of country, firms and consumers in the future.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.683-690
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• 2021

The purpose of this study is to identify research trends on artificial intelligence education. We analyzed 164 domestic journal papers related to AI education published since 2016. The criteria for papers analysis are number of publications by year, journal name, research topic, research type, data collection method, research subject, and subject. The main research areas and areas that require further research are reviewed. The method of the study was analyzed based on the topic and summary of the selected papers, but the text was checked if it was unclear. As a result of the study, research on 'artificial intelligence education' started in earnest after 2017, and has been rapidly increasing in recent years. As a result of the analysis, there were many studies on artificial intelligence education programs and content development, and artificial intelligence perception and image. As for the type of research, there were many quantitative studies, and the development research method was used a lot as a data collection method. In the study subjects, elementary school had a high proportion, and in subject, it was found that there were many practicial subject(technology) dealing with artificial intelligence contents.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.468-475
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• 2022

The purpose of this study is to identify trends in domestic breaking research to derive characteristics and implications, and further suggest future research directions. To this end, literature analysis (the timing of paper publication, research method, research topic) and keyword analysis of 50 papers related to breaking published in academic journals registered with the Korea Research Foundation (KCI) were conducted. The research results are as follows. First, the trend by thesis publication period was first published in 2006, showed a slight increase in 2012, and then increased rapidly in 2021. Second, domestic braking-related research has been mainly focused on qualitative research (60%). Third, looking at the research topic, it is divided into three categories: identity establishment, culture and arts field, and sports field, of which studies related to identity establishment accounted for more than 60%. Finally, looking at the keywords frequently used in breaking papers, the most frequently appeared word was 'hip-hop', followed by 'culture'. Based on these results, implications were drawn to establishing the identity of braking through academic and theoretical approaches, practical approaches through the development of standardized textbooks and curriculum, strengthening the characteristics and capabilities of the field through integrated approaches, and changing to sports.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.69-76
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• 2021

The purpose of this study is to identify research trends on artificial intelligence education. We analyzed 164 domestic journal papers related to AI education published since 2016. The criteria for thesis analysis are number of publications by year, journal name, research topic, research type, data collection method, research subject, and subject. The main research areas and areas that require further research are reviewed. The method of the study was analyzed based on the topic and summary of the selected thesis, but the text was checked if it was unclear. As a result of the study, research on 'artificial intelligence education' started in earnest after 2017, and has been rapidly increasing in recent years. As a result of the analysis, there were many studies on artificial intelligence education programs and content development, and artificial intelligence perception and image. As for the type of research, there were many quantitative studies, and the development research method was used a lot as a data collection method. In the study subjects, elementary school had a high proportion, and in subject, it was found that there were many practicial subject(technology) dealing with artificial intelligence contents.

• Journal of the Korean Institute of Landscape Architecture
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• v.49 no.2
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• pp.17-26
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• 2021

For the past half century, the Journal of the Korean Landscape Architecture has been leading the landscape architecture research and industry inclusively. In this study, abstracts of 1,802 articles were collected and analyzed with topic modeling and network analysis method. As a result of this paper, a total of 27 types of subjects were identified. Health and healing in the field of environmental psychology, garden and aesthetics, participation and community, modernity, place and placenness, microclimate, tourism and social equity also have been continued as important research area in this journal. Modernity, community and urban regeneration is hot topics and ecological landscape related topics were cold topics. Although there was a difference by subject, the variability of the research subjects appeared after the 2000s. In Network analysis, it shows that 'Park' is a representative keyword that can symbolize the journal, and 'landscape' is also important a leading area of the journal. Looking at the overall structure of the network, it can be seen that the journal conducts research on 'utilizing', 'using', and creating 'park', 'landscape', and 'space'. This study is meaningful in that it grasped the overall research trend of the journal by using topic modeling and network analysis of text mining.

• Journal of The Korean Association For Science Education
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• v.42 no.5
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• pp.487-499
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• 2022

This study aims to understand the trends and characteristics of elementary science textbook research. For this purpose, among the papers published in science-related journals from 2001 to 2021, 156 studies related to elementary science textbooks were analyzed to examine the research trends on textbook analysis. The analysis criteria consisted of two major categories, 'outward feature' and 'topic.' The subcategories of 'outward feature' consist of 'year of publication,' 'target curriculum,' 'target grade,' 'science content area,' 'subject of study,' and 'publishing institution.' The sub-categories of 'topic' consist of 'comparison,' 'content,' 'illustration,' 'inquiry activity,' 'perception of textbooks,' and 'others.' As a result of the analysis on 'outer feature,' textbook-related research was conducted almost every year, and the research on the 2009 revised science curriculum, on the 3-6 grades, and on the whole field of science had the most. The science textbook researches were published not only in science education-related journals but also in other areas' journals. As a result of the analysis of the 'topic,' the number of papers was higher in the order of comparative research, content analysis, illustration, inquiry activities, and perception of textbooks. Implications for accredited textbook system of elementary science were discussed based on the analyses on the elementary science textbook research trends.

• Journal of the Korean Society for information Management
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• v.39 no.3
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• pp.263-292
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• 2022

The purpose of this study is to identify the topics of research related to the concepts of literacy in the field of Library and Information Science which is related to user education in libraries. Data were collected from the WoS and KCI databases, and complementary keyword analysis and topic modeling analysis techniques were used to identify topics of literature-related research articles in the field of Library and Information Science. Findings presented that there was a difference in keywords and topics between the two databases. Literacy-related topics identified from the KCI database were classified into three groups through topic modeling. Also, it was analyzed that there is a difference between the overall literacy-related research trend, the timing of the surge in research volume, and key frequent keywords in the Library and Information Science field confirmed in the study. In particular, in the study of literacy in all fields, a number of words such as 'literacy', 'education', 'media', and 'digital' were derived. However, in literature research in the field of Library and Information Science, keywords such as 'information utilization ability' and 'school library' appeared. Based on this, it was concluded that research on the ability to develop an evaluative eye for information is needed in line with today's information environment, where information is rapidly increasing in Korea in the future.

• 핵융합뉴스레터
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• s.48
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• pp.12-13
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• 2010

지난 9월, 포르투갈에서 열린 제26차 핵융합기술심포지엄(SOFT2010)학회에서 국가핵융합연구소 ITER한국사업단 연구원들의 논문이 Topic G분야 'Best Poster Award'를 수상하였다.