• Korean Journal of Childcare and Education
• /
• v.20 no.2
• /
• pp.39-57
• /
• 2024

Objective: This study was conducted to identify trends in teacher education research for early childhood teachers in Korea from 2013 to 2023, aiming to provide practical data for early childhood teacher education research. Methods: For this purpose, 62 articles published in Korean journals were analyzed according to the specified criteria. Through the analysis, we closely examined research trends, educational practices, and trends in educational program development. Results: First, both quantitative and qualitative research have been conducted steadily since 2015. The majority of participants were childcare center teachers, and numerous studies focused on program development. Second, among the trends in teacher education practices, many studies aimed to improve teaching skills. Third, concerning the trend of teacher education program development research, various research methods were utilized, with quantitative research being conducted in 2015, 2020, and 2022. Particular, regarding independent and dependent variables, numerous studies focused on enhancing teaching effectiveness and educational knowledge. Conclusion/Implications: Based on the results, we offer implications for the education policy field and related organizations, along with recommendations for enhancing the guidance and support of early childhood teacher education in program development and implementation.

• Journal of Distribution Science
• /
• v.21 no.7
• /
• pp.41-50
• /
• 2023

Purpose: The purpose of the research is identified factors influencing the competitiveness of the copper industry in Kazakhstan. Research design, data and methodology: A few studies are dedicated to the analysis in developing countries, particularly Kazakhstan. The algorithm was chosen for research provision: statistical and comparative analysis, correlation, and regression analysis. The data of 1999-2021 obtained from the World Bank, Bureau of National Statistics, National Bank of Kazakhstan. Results: The obtained results demonstrate the trends in the development of the industry since 2000. The development of the copper industry is strongly influenced by the distribution and state of the business environment, economic situation, and trends in the global commodity markets. Conclusions: According to econometric modeling, there is a correlation between the profitability of the copper industry, GDP, copper prices, liquidity, and energy resource prices. Trends in global commodity and energy markets have a significant impact on the state of the industry. Further research should be conducted to include an analysis and forecast of internal factors that may affect the development of the industry, such as copper reserves, condition of fixed assets, government programs, etc. It is also important to examine the correlation with the trends in the development of the global green economy and the revival of the Chinese market.

• Journal of the Korean Society of Safety
• /
• v.35 no.4
• /
• pp.92-100
• /
• 2020

Along with the rapid development of industrial technology, the industrial structure has been continuously changed. Accordingly, safety technologies have been gradually developed to be applied into various industrial fields as well, not limited to a specific industry area. As a result, it became important to analyze and predict trends of safety technology development in order to establish technology strategies for industrial safety. In particular, since patents are easily accessible to gather the technology and business information, many studies have highlighted technology forecasting using patent information. Thus, this study proposes the patent analysis of monitoring trends of safety technologies of industry fields, taking into account both static and dynamic aspects through index and text analysis. First, patent documents containing safety-related keywords are collected from the WIPSON database for extracting technology information. Then, the development trends of safety technologies by industry fields are identified and analyzed through the analysis of indicators such as marketability, growth, and activation. The results of various indicator analyses of safety technologies are visualized to compare among industrial safety technologies for businesses and technology developers. Second, textmining algorithm is applied to identify trends of specific technology keywords of major industries extracted from patent index analysis. As a result, it is expected that the safety manager uses the patent analysis of safety technologies to provide safety technology information with safety-related companies and institutes. The extracted safety technologies are applicable to business practice and predict future promising technologies.

• The Research Journal of the Costume Culture
• /
• v.29 no.4
• /
• pp.538-553
• /
• 2021

As interest in the sustainable fashion industry continues to increase along with climate issues, it is necessary to identify research trends in sustainable fashion and seek new development directions. Therefore, this study aims to analyze research trends on sustainable fashion. For this purpose, related papers were collected from the KCI (Korean Citation Index) and Scopus, and 340 articles were used for the study. The collected data went through data transformation, data preprocessing, topic modeling analysis, core topic derivation, and visualization through a Python algorithm. A total of eight topics were obtained from the comprehensive analysis: consumer clothing consumption behavior and environment, upcycle product development, product types by environmental approach, ESG business activities, materials and material development, process-based approach, lifestyle and consumer experience, and brand strategy. Topics were related to consumption, production, and education of sustainable fashion, respectively. KCI analysis results and Scopus analysis results derived eight topics but showed differences from the comprehensive analysis results. This study provides primary data for exploring various themes of sustainable fashion. It is significant in that the data were analyzed based on probability using a research method that excluded the subjective value of the researcher. It is recommended that follow-up studies be conducted to examine social trends.

• Korean Journal of Child Studies
• /
• v.29 no.2
• /
• pp.15-31
• /
• 2008

This analysis of trends in research on parent-child relationships published in Korean journals focused on child and family studies. Analysis was for research frequency, contents, and methodology. Results showed that 186 research articles on parent-child relationship were published between 2000 and 2006. The main content of research was the effects of parent-child relationships on child development. Most of the studies used methods categorized as quantitative data and cross-sectional surveys.

• Journal of Industrial Technology
• /
• v.44 no.1
• /
• pp.9-15
• /
• 2024

Innovative medical devices apply cutting-edge technology to ensure significantly greater safety and effectiveness than other treatments compared to existing medical devices. In relation to this, Innovative medical device-related systems are being implemented not only in Korea but also in various developed countries. Innovative medical device software means that Software as Medical Device (SaMD) has been recognized as an Innovative medical device, and the Korea Ministry of Food and Drug Safety is introducing various related systems. This study aims to provide Korean medical device stakeholders with insight into the direction of industry development by analyzing research trends on Innovative medical device software. Therefore, we analyzed the designation status of innovative medical devices in Korea and analyzed the designation rate of SaMD, purpose, class, application area, and approval of Innovative medical device software. It was found that the rate of SaMD was high in Innovative medical devices, that Innovative medical device software was mainly developed for diagnostic purposes, was divided into class 2 and class 3 medical devices, and mainly targeted organs essential for life support. In the case of licensing, it was investigated that it was obtained at a high rate in Korea, but it was extremely low in the US market. We expect that this study will contribute to strategic decision-making in the medical device industry in the future by providing industry workers with insights such as product trends developed through analysis of the development trends of Innovative medical device software.

• Educational Technology International
• /
• v.11 no.1
• /
• pp.47-68
• /
• 2010

The purpose of this study was to analyze majors trends and issues of e-Learning curriculum for human resource development in the corporate context. The e-Learning curriculum was chosen as the subject of research consists of 2,710 lectures that were given from 2007 to July 2009 for the recent three years by providing at Ministry of Labor and Korea Research Institute for Vocational Education & Training. In order to investigate trends and issues, it was employed theme analysis which is one of the types of document analysis that approach a qualitative research methodology. As a result of this research, 7 major trends and issues in e-Learning curriculum for HRD in the field of corporate education were drawn; ① Strengthening expertise through learning of job related professional knowledge, ② Cultivation of common & essential knowledge for a job to increase work performance efficiency ③ Organizational management strategy for improving performance, ④ Organizational management and operational strategy for actively responding to environmental changes, ⑤ Leadership as a strategy for cultivating core personnel and field-centered practical leadership. ⑥ Creating a happy workplace through the work-life balance, ⑦ Strengthening global communication skill. Based on these analysis, practicals and theoretical implications of e-Learning professionals and HR researchers for HRD were suggested.

• Journal of Digital Convergence
• /
• v.18 no.6
• /
• pp.121-132
• /
• 2020

The purpose of this study is to identify the current status and research trends of the efficiency assessment of scientific research and development in Chinese universities over the last 10 years through social network analysis(SNA). The data used in the analysis were extracted from 589 papers from CNKI academic archives in China and analyzed among them 190 papers directly related to the evaluation of scientific research and development efficiency. The analysis showed that the present state of science and technology research efficiency assessment in Chinese universities, identifying research trends, major factors on scientific research and development and major factors promoting exchanges of scientific research. This study can provide positive meaning to facilitate the development of scientific research and development in universities, enhance scientific research management and promote knowledge exchange. This study has limitations in comprehensively analyzing scientific research trends in the actual Chinese research environment. Subsequent studies need to compare trends in China and other countries.

• International Journal of Contents
• /
• v.10 no.1
• /
• pp.29-35
• /
• 2014

This paper proposes an approach for visualizing research trends using theme maps and extra information. The proposed algorithm includes the following steps. First, text mining is used to construct a vector space of keywords. Second, correspondence analysis is employed to reduce high-dimensionality and to express relationships between documents and keywords. Third, kernel density estimation is applied in order to generate three-dimensional data that can show the concentration of the set of documents. Fourth, a cartographical concept is adapted for visualizing research trends. Finally, relative vitalization information is provided for more accurate research trend analysis. The algorithm of the proposed approach is tested using papers about Traditional Korean Medicine.

• Journal of the Korea Society of Computer and Information
• /
• v.24 no.1
• /
• pp.25-32
• /
• 2019

With the rapid development of artificial intelligence technology, the patenting activities related to the fields of AI is increasing worldwide. In particular, a share of patent filed in China has exploded in recent years and overtakes the numbers in the US. In the present study, we focus our attention on the patenting activity of China and the US. We analyzed 6,281 and 13,664 patent applications in the US and China respectively between 2008 and 2018, and belonging to the "G06F(Electric Digital Data Processing)", "G06N(Computer Systems Based on Specific Computational Models)", "H04L(Transmission of Digital Information)" and nine more relevant technological classes, as indicated by the International Patent Classification(IPC). Our analysis contributes to: first, the understanding of patent application trends from foreign countries filed in the US and China, 2) patent application status by applicants category such as companies, universities and individuals, 3) the development direction and forecasting vacant technology of AI according to main IPC code. Through the analysis of this paper, we can suggest some implications for patent research related to artificial intelligence in Korea. Plus, by analyzing the most recent patent data, we can provide important information for future artificial intelligence technology research.