• Journal of the Korean Society for information Management
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• v.32 no.3
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• pp.69-97
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• 2015

This study aims to analyse the research areas and trends of reading (reading instruction) abroad in the respect of LIS, and suggest future research tasks. First, I reviewed the controlled keywords in SU field of LISTA database and the entries of DDC 23, and identified the research areas of reading and reading instruction in overseas. Second, I analysed the research trends of this field by applying a intellectual structure analysis on 2,115 research articles (1914~2014) retrieved from a representative database in the areas of Library and Information Science (LISTA). Third, Based on the results of these analysis, I suggested the future research tasks of this field in the domain of library and information science.

• Journal of the Korean Home Economics Association
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• v.45 no.5
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• pp.25-38
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• 2007

This study sought to analyze the trends in research on Korean fathers with young children. In this study, journal articles related to child and family studies, early childhood education and childcare published between 1980 and 2006 were analyzed for research frequency, content, and methodology. The study results were as follows. First, 56 research articles on Korean fathers with young children were published during this period of time. Second, the research was primarily focused on fathering attitudes and the relationships between the characteristics of the father and the development of the child. Third, the majority of the studies used methods categorized as quantitative and non-experimental: the subjects included more than 100 fathers with 3-5-year-old children. Research instruments validated in foreign countries (52.4%), surveys (75.4%), and quantitative data analysis methods (98.2%) were primarily used in these research studies. Finally, the results of this study suggest that further studies concerning Korean fathers with young children need to be conducted according to current research trends, content, and methodology.

• International Journal of Contents
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• v.10 no.1
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• pp.29-35
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• 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 Korean Association For Science Education
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• v.9 no.1
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• pp.69-74
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• 1989

For the advancement of research in biological education in Korea, research trends shown in Journal of Biological Education(JBE)of England were analyzed by using a PC program(REFMENU). Papers Published in JBE between 1977 and 1987 were registered on the program with classifying keys of biological education and biology including names of authors, year, title, volume pages, and key words. Those input-date were analyzed by sorting depend-ing on either the classifying keys or the key words. Among the 361 papers 28.8% was dealing with the theory of science education. The rest dealt with biology and biological education, together. Of the six categories of biological education, the research on biological curriculum was 41 % of total and was the most. The major trends in this category was in developing the content of the curriculum. In the research of biological instruction, 37 papers dealt with the instruction theory and the rest 60 papers dealt with the tactics of Instruction. Of the 60 papers on materials in biological education, the research in developing the biological material was the most. Thus, the general research trend was far more practical aspect than the theoretical aspect of biological education. In the analysis of the papers depending on the biological categories, the one dealt with ecology was the most(26.8%). The rest papers showed almost even distribution in the 13 categories of biology. The results of this analysis was discussed by comparing with the research trends in Korea to suggest the possible future studies.

• Korean Journal of Child Studies
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• v.30 no.5
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• pp.1-8
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• 2009

For the purpose of this analysis of trends in research on creativity of preschool children, 98 volumes with articles on the creativity of preschool children were selected from 6 reliable Korean academic journals. Analysis was for year, content, research methods, research design, and subjects. Results showed that (1) the changes by year were that the number of qualitative researches increased from 4 articles in 1998 to 24 articles in 2006. (2) The greatest amount of research content concerned educational methods for the generation of creativity. (3) Most research methods were empirical studies. (4) The most used measurement scale was the Korean Comprehensive Creativity Test for Young Children (Jeon, 2000). (5) Most data analyses were by t-test.

• International Journal of Advanced Culture Technology
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• v.7 no.4
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• pp.295-301
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• 2019

Since the third artificial intelligence boom was triggered by deep learning, it has been 10 years. It is time to analyze and discuss the research trends of deep learning for the stable development of AI. In this regard, this study systematically analyzes the trends of research on deep learning over the past 10 years. We collected research literature on deep learning and performed LDA based topic modeling analysis. We analyzed trends by topic over 10 years. We have also identified differences among the major research countries, China, the United States, South Korea, and United Kingdom. The results of this study will provide insights into research direction on deep learning in the future, and provide implications for the stable development strategy of deep learning.

• The Korean Journal of Emergency Medical Services
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• v.26 no.2
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• pp.19-35
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• 2022

Purpose: This study aimed to identify research topics in the emergency medical technician (EMT) field and examine research trends. Methods: In this study, 261 research papers published between January 2000 and May 2022 were collected, and EMT research topics and trends were analyzed using topic modeling techniques. This study used a text mining technique and was conducted using data collection flow, keyword preprocessing, and analysis. Keyword preprocessing and data analysis were done with the RStudio Version 4.0.0 program. Results: Keywords were derived through topic modeling analysis, and eight topics were ultimately identified: patient treatment, various roles, the performance of duties, cardiopulmonary resuscitation, triage systems, job stress, disaster management, and education programs. Conclusion: Based on the research results, it is believed that a study on the development and application of education programs that can successfully increase the emergency care capabilities of EMTs is needed.

• Journal of Home Health Care Nursing
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• v.27 no.2
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• pp.210-218
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• 2020

Purpose: The purpose of this study was to analyze research trends, using the keyword home health care, in articles published in the Journal of Korean Academic Society of Home Health Care Nursing over the past 10 years. Methods: An analysis was conducted of 50 home health care-based studies chosen from among the 206 studies published in the Journal of Korean Academic Society of Home Health Care Nursing from 2010 to 2019. The analysis focused on research methodology and keyword. Descriptive statistics were used to examine the frequency distribution of research methods and keywords. Results: Study participation was mainly focused on nurses (52.0%). Most of the studies used quantitative methods (96.0%), and 43 studies (86.0%) used self-report structured questionnaires. The most commonly used data analyses methods were descriptive statistics, t-test, analysis of variance, correlation, and regression. Major keywords were home health nursing, elderly care facility, visiting nurse, home care service, home healthcare nurse, home care agencies, long-term care, and home care. Conclusion: The results of this study identified current trends and interests in the Journal of Korean Academic Society of Home Health Care Nursing. This study suggests that future studies include a variety of research methods and maintain appropriate standards of research ethics.

• Korean Medical Education Review
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• v.23 no.3
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• pp.176-184
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• 2021

The aim of this study was to analyze the research trends in articles published in the Korean Journal of Medical Education (KJME) and Korean Medical Education Review (KMER) using keyword network analysis. The analyses included 507 papers from 2010 to 2019 published in KJME and KMER. First, keyword frequency analysis showed that the research topics that appeared in both journals were "medical student," "curriculum," "clinical clerkship," and "undergraduate medical education." Second, centrality analysis of a network map of the keywords identified "curriculum" and "medical student" as highly important research topics in both journals. Third, a cluster analysis of 20 core keywords in KMER identified research clusters related to academic motivation, achievement, educational measurement, medical competence, and clinical practice (centered on "learning," while in KJME, clusters were related to educational method and program evaluation, medical competence, and clinical practice (centered on "teaching"). In conclusion, future medical education research needs to expand to encompass other research areas, such as educational methods, student evaluations, the educational environment, student counseling, and curriculum.

• Industry Promotion Research
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• v.8 no.4
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• pp.139-146
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• 2023

The purpose of this study is to examine the research trends of overseas journals related to dream analysis over the five-year period between 2019 and 2023, and to draw implications for future domestic research directions related to dream analysis. For this purpose, 84 overseas journals searched on Google scholar from 2019 to 2023 were selected and analyzed for research trends, including publication year, journal by topic, theory of use, major research topics, and research methods. The results of the analysis showed that, first, the number of published studies increased from 2019 to 2021 and then decreased, and related studies were active in each country during the COVID-19 period. Second, there was a tendency to interpret the unconscious through dream analysis and apply it to various fields. Third, the trend of research methods was 53 studies using qualitative research, 24 studies using quantitative research, 5 mixed studies, and 2 meta-analyses. Finally, we discuss our findings and suggest further research in the field of dream analysis.