• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.25-37
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• 2022

The purpose of this study is to comprehensively check trends in policies, discourses, educational directions and contents, and social issues by deriving the subjective characteristics of peace education and unification education based on big data analysis. The results of this study are as follows. First, 'peace', 'unification', 'education', 'research', 'student', 'school', 'teacher', 'target', and 'Korean Peninsula' were commonly important keywords in peace education and unification education. Second, the top topic of peace education was 'peace education and civic education', and the top topic of unification education was ' sympathy and participation in unification education'. Third, topics that show an upward trend by regime in peace education were 'World Peace and Human Rights' and 'Object and Direction of Peace Education', and 'Subject of Unification Education' as topics that showed an upward trend by regime in unification education. Fourth, in peace education, the centrality of 'peace', 'education', 'student', 'school', and 'peace education' was high, and in unification education, 'unification', 'education', 'unification', 'school', and 'teacher' were high. Based on these results, it was intended to expand the horizon of understanding peace education and unification education, and to provide meaningful implications for establishing policies and conducting follow-up studies.

• The Journal of Economics, Marketing and Management
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• v.10 no.6
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• pp.1-7
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• 2022

Purpose: The purpose of this study is identifying the research trends of degree papers related to the beauty industry and providing information which can contribute to the development of the domestic beauty industry and the direction of various research about beauty industry. Research design, data and methodology: This study used 154 academic papers and 189 academic papers with English abstracts out of 299 academic papers. All of these papers were found by searching for the keyword "beauty industry" in ScienceON on August 15, 2022. For the analysis, BERTopic and LDA (Latent Dirichlet Allocation) analysis were conducted using Python 3.7. Also, OLS regression analysis was conducted to understand the annual increase and decrease trend of each topic derived with trend analysis. Results: As a result of word frequency analysis, the frequency of satisfaction, management, behavior, and service was found to be high. In addition, it was found that 'service', 'satisfaction' and 'customer' were frequently associated with program and relationship in the word co-occurrence frequency analysis. As a result of topic modeling, six topics were derived: 'Beauty shop', 'Health education', 'Cosmetics', 'Customer satisfaction', 'Beauty education', and 'Beauty business'. The trend analysis result of each topic confirmed that 'Beauty education' and 'Health education' are getting more attention as time goes by. Conclusions: The future studies must resolve the extreme polarization between the structure of the small beauty industry and beauty stores. Furthermore, the researches have to direct various ways to create the performance of internal personnel. The ways to maximize product capabilities such as competitive cosmetics and brands are also needed attentions.

• Korean Journal of Health Education and Promotion
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• v.7 no.1
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• pp.10-26
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• 1990

In Korean education, the health contents are scattered in various course subjects throughtout the primary and junior high school curriculum. So it is very difficult to provide systematic health education. The purpose of this study was to provide a guide for health education using health topic areas and major concepts that represent the scope of material that should be covered in health instruction. The steps used in selecting these health topic areas and major concepts were as follows: 1. A review of the literature related to health and health education was done to develop the rationale underlying this study. 2. Health topic areas basic to the growth and development characteristics of children, to human needs and to societal needs for healthful living were indentified. 3. The major concepts for each health topic area based on health sciences and children's growth and development levels were selected. 4. The major concepts selected were organized in sequence to guide health education from grade one to grade nine. The results of this study were as follows: 1. The identification of eleven health topic areas essential for health education. These include: personal habits and health healthy growth and development nutrition and health prevention of disease and disorders drugs and health mental health family life and health sex education accident prevention consumer health community health 2. The identification of the major concepts(generalizations) for each health topic area: 33 major concepts were identified as a guide in determining the health content of health education programs. These are 1) body cleaniness, 2) health of the sensory organs, 3) dental health, 4) exercise and rest, 5) growth and development, 6) body structure and function, 7) developmental tasks, 8) balanced nutrition, 9) eating habits, 10) food preparation and food storage, 11) sources of disease and disorders, 12) disease preventive behavior, 13) care during illness, 14) drug use and misuse, 15) drug addiction, 16) emotional responses, 17) human relationship, 18) self concept, 19) social adjustment, 20) health habits of the family, 21) interdependence of family members, 22) origin of life, 23) characteristics of man and woman, 24) sexual instinct, 25) safety behavior, 26) emergency measures, 27) criteria for selection of health products, 28) proper use of health information, 29) utilization of health and medical services, 30) environmental conservation, 31) environmental pollution, 32) population control, 33) function of public health services. 3. The organization of the concepts(generalizations) in sequence and for continuity in health instruction at the primary and junior high school level.

• Korean Journal of Remote Sensing
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• v.38 no.5_3
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• pp.873-885
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• 2022

The particulate matter (PM) has emerged as a hot topic around the world as it has been reported that PM is related to an increase in mortality and prevalence rates. In South Korea, the importance of PM has been recognized since the late 1990s, and various studies on PM have been conducted. This study investigated the PM research topics and trends for papers (D=2,764) published in Research Information Sharing Service (RISS) using topic modeling based on Latent Dirichlet Allocation (LDA). As a result, a total of 10 topics were identified in the whole papers, and the PM research topics were classified as 'PM reduction (Topic 1)', 'Government policy and management (Topic 2)', 'Characteristics of PM (Topic 3)', 'PM model (Topic 4)', 'Environmental education (Topic 5)', 'Bio (Topic 6)', 'Traffic (Topic 7)', 'Asian dust (Topic 8)', 'Indoor PM (Topic 9)', 'Human risk (Topic 10)'. In particular, the proportion of papers on topics 'Government policy and management (Topic 2)', 'PM model (Topic 4)', 'Environmental education (Topic 5)', and 'Bio (Topic 6)' to the toal number of papers increased over time (linear slope > 0). The results of this study provide the new literature review methodology related to particulate matter and the history and insight.

• Journal of Korean Elementary Science Education
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• v.41 no.2
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• pp.356-372
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• 2022

This study examined the topics that have appeared in the "Journal of Korean Elementary Science Education" over the past 50 years to identify the changes that have occurred in the Korean Society of Elementary Science Education. Latent Dirichlet allocation topic modeling was applied to 1,065 English abstracts from the first issue (1983) to 2021, from which 14 main topics were extracted. The meaning of each topic was then analyzed from its keywords and documents. Subsequently, to elucidate the topic trends, the topics' increase or decrease every three years was statistically examined through linear regression analysis. Based on the results, implications for developing and supporting elementary science education research in the future were discussed.

• Women's Health Nursing
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• v.29 no.2
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• pp.128-136
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• 2023

Purpose: Topic modeling is a text mining technique that extracts concepts from textual data and uncovers semantic structures and potential knowledge frameworks within context. This study aimed to identify major keywords and network structures for each major topic to discern research trends in women's health nursing published in the Korean Journal of Women Health Nursing (KJWHN) using text network analysis and topic modeling. Methods: The study targeted papers with English abstracts among 373 articles published in KJWHN from January 2011 to December 2021. Text network analysis and topic modeling were employed, and the analysis consisted of five steps: (1) data collection, (2) word extraction and refinement, (3) extraction of keywords and creation of networks, (4) network centrality analysis and key topic selection, and (5) topic modeling. Results: Six major keywords, each corresponding to a topic, were extracted through topic modeling analysis: "gynecologic neoplasms," "menopausal health," "health behavior," "infertility," "women's health in transition," and "nursing education for women." Conclusion: The latent topics from the target studies primarily focused on the health of women across all age groups. Research related to women's health is evolving with changing times and warrants further progress in the future. Future research on women's health nursing should explore various topics that reflect changes in social trends, and research methods should be diversified accordingly.

• Journal of Korean Elementary Science Education
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• v.28 no.4
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• pp.404-414
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• 2009

The revised curriculum in 2007 includes open inquiry approach to increase students' interest in science and to build up creativity. So teachers and pre-service teachers should be equipped with the ability of open inquiry performance. In order to investigate pre-service teachers' readiness to perform open inquiry tasks, we analyzed reports written as homework by a group of 71 juniors in a national university of education. The investigation tool was composed of four domains: topic selection, the inquiry process, the conclusion, and reporting. Each domain had three or four sub-domains. By using the framework, four raters scored the students' inquiry reports. The findings reveal that the pre-service elementary school teachers have difficulty in the domain of 'topic selection' and the 'conclusion' compared with the other domains. Under the topic selection domain, they showed weaknesses in 'creativity' and 'scientific topic' and under the conclusion domain, they had difficulty in 'recognizing limits' and 'value of conclusion'. The finding suggests that pre-service teaching program should provide with opportunities to perform open inquiry continually.

• Journal of The Korean Association of Information Education
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• v.19 no.4
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• pp.499-508
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• 2015

As society evolves into the information society, major countries strengthen software education. Especially, the curriculums of school to enlarge software education are made in major countries. Therefore, Korea Association of Information Education (KAIE) have studied a standard model for software education and revised the standard model that was published in 2014. The KAIE suggested a new plan that contents of software education classify by 'Software', 'Computer System' and 'Convergence Activities.' Therefore, I studied on a curriculum for 'Information' topic in elementary school. In this paper, I suggested the achievement goals for education of 'Information' topic. I nextly suggested teaching-learning and evaluation methods to meet the achievement goals. And I expect that the achievement goals, teaching-learning and evaluation methods I suggested about 'Information' topic will contribute to develop the curriculum for software education.

• Journal of the Korea Society of Computer and Information
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• v.29 no.2
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• pp.197-209
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• 2024

This study aimed to analyze recent research trends in Artificial Intelligence (AI) education within South Korea with the overarching objective of exploring the future direction of AI education. For this purpose, an analysis of 697 papers related to AI education published in Research Information Sharing Service (RISS) from 2016 to November 2023 were analyzed using word cloud and Latent Dirichlet Allocation (LDA) topic modeling technique. As a result of the analysis, six major topics were identified: generative AI utilization education, AI ethics education, AI convergence education, teacher perceptions and roles in AI utilization, AI literacy development in university education, and AI-based education and research directions. Based on these findings, I proposed several suggestions, (1) including expanding the use of generative AI in various subjects, (2) establishing ethical guidelines for AI use, (3) evaluating the long-term impact of AI education, (4) enhancing teachers' ability to use AI in higher education, (5) diversifying the curriculum of AI education in universities, (6) analyzing the trend of AI research, and developing an educational platform.

• Journal of Wellbeing Management and Applied Psychology
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• v.6 no.4
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• pp.27-31
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• 2023

Purpose: This study analyzed papers identified by entering the two keywords 'unification education' and 'university' during research from 2013 to 2022 in order to identify trends and key concepts in unification education research at domestic universities. Research design, data, and methodology: The study analyzed 224 papers, excluding those on primary, middle, and high school unification education, as well as unrelated and duplicate papers. The analysis included developing a co-occurrence network of keywords, utilizing topic modeling to categorize research types, and confirming visualizations such as word clouds and sociograms. Results: In the final analysis, the research identified 1,500 keywords, with notable ones like 'Korea,' 'education,' 'unification.' Centrality analysis, measuring influence through connected keywords, revealed that 'Korea,' 'education,' 'north,' and 'unification' held significant positions. Keywords with high centrality compared to their frequency included 'learning,' 'development,' 'training,' 'peace,' and 'language,' in that order. Conclusions: This study investigated trends and structures in university-level unification education by analyzing papers identified with the keywords 'unification education' and 'university.' The use of keyword network analysis aimed to elucidate patterns and structures in university-level unification education. The significance of the study lies in offering foundational data for future research directions in the field of unification education at universities.