• Title/Summary/Keyword: Keyword Trends

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Research Trends of Young Children's Play Using the Semantic Network Analysis (언어네트워크분석을 통한 유아놀이 관련 연구동향 탐색)

  • Kim, Jong-Hoon;Park, Sun-Mi
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.2
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    • pp.296-303
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    • 2020
  • The purpose of this study was to examine the keywords of studies related to young children's play in the selected registered and candidate academic journals and the network of the keywords by conducting a semantic network analysis. The selected journals were published over the past decade in diverse fields of study that included social sciences and life sciences such as education and early childhood education. The findings of the study were as follows: First, there was a great increase in the studies related to early childhood play over the last five years in comparison with the first term(2009-2013). As a result of analyzing how many studies were included in the journals by field, the largest numbers of the studies were published in the field of education, followed by early childhood education, and life sciences. Second, when the network of the keywords was analyzed, the major keywords in the first term were playfulness, role play, young children, creativity, play, and peer play interaction. In the second term(2014-2018), playfulness was also the most frequently exhibited keyword, followed by young children, play, and peer play behavior. Keywords such as teacher-child interaction, language skills, happiness, cognitive ability, early childhood education newly appeared.

Analysis of Research Papers Published in the Journal of Muscle and Joint Health on Research Trends, Nursing Intervention and Quality Assessment of Intervention Studies (2013~2015년 근관절건강학회지 게재 연구의 동향, 실험중재 및 연구의 질 평가)

  • Jeon, Mi Yang;Eun, Young;Lee, Eun Nam;Min, Hye Sook;Bak, Won-Sook;Choi, Mi-Kyung;Song, Rhayun;Lee, Inok;Choi, Hee Kwon;Shin, Gyeyoung;Kim, Minju;Lee, Kyung-Sook;Lee, Myung Sook;Cho, Kyung-Sook;Kim, Ju Sung;Chung, Yeo Sook
    • Journal of muscle and joint health
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    • v.23 no.3
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    • pp.214-224
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    • 2016
  • Purpose: This study aimed to analyze recent trends in nursing research published in the Journal of Muscle and Joint Health by focusing on the content of nursing interventions and their quality. Methods: A total of 80 studies published between 2013 and 2015 were reviewed using analysis criteria developed by the researchers. Results: Quantitative studies accounted for 98.7% while qualitative studies accounted for 2.3%. Most frequently used research designs were quasi-experimental (92.9%) for experimental research and survey (89.4%) for non-experimental research. Patients (43.8%) were the most frequent study participants. Elderly was the most frequently used keyword. Most frequent nursing interventions were exercise (35.7%). Self-efficacy (35.7%), flexibility (28.6%) and pain (28.6%) outcomes for dependent variables were used. Quality assessment of experimental studies by SIGN were high quality (25%), acceptable (50%), low quality (25%). Conclusion: The results suggest that further expansion of randomized controlled trial and qualitative studies. To enhance the quality of research, It is needed to try the intention to treat analysis in experimental research.

Analysis of Research Trends in Home Economics Education by Language Network Analysis: Focused on the KCI Journals (2000-2019) (언어 네트워크 분석에 기반 한 가정과교육 연구 동향 분석: 2000-2019년 KCI 등재지를 중심으로)

  • Gham, Kyoung Won;Park, Mi Jeong
    • Journal of Korean Home Economics Education Association
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    • v.32 no.3
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    • pp.179-197
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    • 2020
  • This study analyzed the trends in home economics education research using the language network analysis method, focusing on papers published in the KCI list for 20 years from 2000 to 2019. A total of 501 home economics education papers analyzed through word cloud, centrality analysis, and topic modeling using NetMiner 4.4, and the results are as follows. First, the number of papers in home economics education published in the KCI listing increased gradually to 186 in the 2000s and 315 in the 2010s. The academic journals in which home economics education papers were published have been diversified to 16 in the 2000s and 22 in the 2010s. 60% of all papers were published in the 'Journal of Korean Home Economics Education Association', and since 2018, the number of papers published in the 'Journal of Learner-Centered Curriculum and Instruction' has increased dramatically. Second, in the 2000s and 2010s, home economics education studies published in KCI were categorized into home economics education content analysis, home economics educational program development & application, curriculum analysis, perception survey & direction exploration. In the 2000s, 'Home Economics Teacher' appeared as the main keyword, and a lot of perception survey & direction exploration were conducted. Relatively, the influence of 'development' increased in the 2010s, and many studies were conducted to analyze home economics education contents and develop and apply home economics programs. This study has significance in that it analyzed the research trend of HEE by expanding the analysis target and analysis period of the existing studies.

An Analysis of Trends in Elementary Mathematics Education Research -Focussing on Mathematics Education Journals in Korea- (우리나라 초등수학교육 연구의 동향 분석 -국내 학술지를 중심으로-)

  • Kwon, Jung-Eun;Choi, Jae-Ho
    • Journal of Elementary Mathematics Education in Korea
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    • v.12 no.2
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    • pp.149-163
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    • 2008
  • The purpose of this study was to investigate research trends of the articles in Math-Educational journals between 1998 and 2006 in a bid to discuss whether the articles evenly dealt with different fields and whether studies on elementary mathematics education were in line with the 7th national curricula. It's basically meant to determine some of the right directions for future research on elementary mathematics education. The articles included in Math-Educational journals during the selected period were analyzed to find out the theme, area, method and subjects of the studies and when the studies were conducted. After checking National Assembly Digital Library by inputting a keyword 'elementary mathematics', 235 articles were found, and a content analysis was carried out, and statistical data on percentage were obtained. The results of this study were as follows: First, there had been steady research efforts about elementary mathematics education, as 20 or 30 studies had been conducted on a yearly basis. Second, as for theme of research, the most common themes were instructional design and method(25.5%), and an analysis of curricula and textbook(15.3%) was the second most dominant theme. Third, regarding the area of study, the most widely investigated area was number and operation (30.0%), followed by character/expression(27.8%), figure (23.9%), regularity/function (8.9%), probability/statistics(5.6%), and measurement (3.9%). Fourth, concerning the method of research, didactical analysis(43.8%) was most prevalent, followed by quantitative research(29.8%), qualitative research(16.6%) and a combination of qualitative and quantitative approaches(9.8%). Fifth, as to subjects, many of the studies(21.7%) investigated upper graders. In conclusion, it has to be accomplished the impartial researches for the whole area in order to develop elementary mathematics education and attain the objects of the 7th national curricula.

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A Study on the Applicability of Health and Dance Program according to the Trend of Live-In-depth Research (활인심방 연구주제 동향에 따른 건강무용프로그램 적용 가능성)

  • Jung, Yu-Jin
    • Journal of Digital Convergence
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    • v.18 no.3
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    • pp.395-404
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    • 2020
  • The purpose of this study is to analyze the research published in Korea on the live atrium of Toegye Lee Hwang and present its applicability as a health dance program.To this end, Korean academic journals, the Korean Institute of Information Scientists and Engineers, and DBpia searched Korean journal publications with the keyword 'active visit', and 24 articles published from 1974 to December 2018 were classified into the Korean Research Foundation.According to the criteria, they were classified and analyzed into subclasses. As a result, first, the research trends of academic disciplines by year tended to increase the participation of various academic disciplines in the atrium.The interests of the live atrium differed in the order of physical education.Second, in terms of research subjects, more researches attempted to identify active atria as a research topic than research suggesting a plan.Third, the trends of the research topics were in order to study academic definition of live atrium, to find out the relationship between live atrium and other disciplines, to propose ways to use them, and to develop programs.Fourth, by applying the live atrium to a dance program, we found the potential as a dance program for health promotion.It is expected that these findings will not only provide the basic data for the possibility of a health dance program integrated with various fields, but also contribute to the search for the direction of health dance program research.

A Study on Analysis of national R&D research trends for Artificial Intelligence using LDA topic modeling (LDA 토픽모델링을 활용한 인공지능 관련 국가R&D 연구동향 분석)

  • Yang, MyungSeok;Lee, SungHee;Park, KeunHee;Choi, KwangNam;Kim, TaeHyun
    • Journal of Internet Computing and Services
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    • v.22 no.5
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    • pp.47-55
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    • 2021
  • Analysis of research trends in specific subject areas is performed by examining related topics and subject changes by using topic modeling techniques through keyword extraction for most of the literature information (paper, patents, etc.). Unlike existing research methods, this paper extracts topics related to the research topic using the LDA topic modeling technique for the project information of national R&D projects provided by the National Science and Technology Knowledge Information Service (NTIS) in the field of artificial intelligence. By analyzing these topics, this study aims to analyze research topics and investment directions for national R&D projects. NTIS provides a vast amount of national R&D information, from information on tasks carried out through national R&D projects to research results (thesis, patents, etc.) generated through research. In this paper, the search results were confirmed by performing artificial intelligence keywords and related classification searches in NTIS integrated search, and basic data was constructed by downloading the latest three-year project information. Using the LDA topic modeling library provided by Python, related topics and keywords were extracted and analyzed for basic data (research goals, research content, expected effects, keywords, etc.) to derive insights on the direction of research investment.

Analysis of Press Articles and Research Trends related to 'University Core Competencies' using Big Data Analysis Methods

  • Kwon, Choong-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.5
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    • pp.103-110
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    • 2021
  • The purpose of this study is to check the trend of press articles and research trends in journal papers in the last 10 years, which dealt with the subject of 'university core competencies' with a big data analysis method. The main research methodology of this study applied the BigKinds analysis system and the semantic network analysis methodology. The results are as follows: First, the number of press articles related to university core competencies showed a keyword trend that rapidly increased in December 2014 and the second half of 2020. Related keywords were curriculum, specialization, project group, Ministry of Education, ACE, and competitiveness. Second, the semantic network value between keywords of related research papers showed 554 degree, 18,467 avg. degree, and 0.637 density. The degree of centrality of connection was analyzed in the order of university(1606), competency(1481), core(1349), and core competency(1301). Betweenness centrality was analyzed as core competencies(13.101), university students(13.101), university(13.101), and competencies(13.101). The results of this research are expected to give implications to future research and policy-making, educational program planning and operation, etc. to members of higher education institutions, experts in education policy, and educational scholars.

A Study on the Time-Sectional Analysis of Apartment Housing related research in Korea (국내 아파트 관련 연구의 연구주제 시계열 분석)

  • Kim, Tae-Sok;Park, Jong-Mo;Park, Eu-Gene;Han, Dong-Suk
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.34 no.3
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    • pp.45-52
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    • 2018
  • Currently, apartments have become an important research subject for the overall area of politics, economics, and culture as well as urban architectural study. However, there are few analyses of the research trends related to the current interest in the apartment research and prediction of the future changes of an apartment in politics and industry. In this study, the research information related to the apartment has classified, and the changes in the research trends have analyzed. Based on the classified data, the first thesis and dissertation related to the apartment and changes of academic notation have discovered. In addition, future interests and future research directions through Frequency of Appearance, Degree Centrality Analysis, and Betweenness Centrality Analysis of author keywords were predicted. As a result of the analysis, 'Space,' 'Residential Mobility' and 'Apartment Complex' studies were found to be important research topics throughout the entire period. 'Han Gang Apartment,' 'Small Size Apartment,' 'Civic Apartments,' 'Jamsil,' and 'Child' were newly interested topics until 70's era. '(Super) High-rise Apartment,' 'Perception,' 'Jugong Apartment,' 'Housing Environment,' 'Housewife,' 'Apartment Layout,' and 'Busan' were newly interested topics during the 80's and 90's era. 'Apartment Price,' 'Energy,' 'Remodeling,' 'Noise,' 'Resident Satisfaction,' 'Community,' and 'Apartment Lotting-out' were newly interested topics after the year 2000. New concerns for last decade are found to be 'Super High-rise Apartment', 'Remodeling', 'Indoor'(2007), 'Apartment Reconstruction Project', 'Brand', 'AHP', 'Housing Environment'(2008), 'Ventilation'(2009), 'Apartment Lotting-out'(2010), 'Economic Assessment'(2011), 'Cost'(2012), 'Green Building', 'Apartment Sales', 'Law', 'Society'(2013), 'Floor Impact Noise', 'Seoul'(2014), 'Noise'(2015), 'Hedonic Model'(2016). In addition, following research topics are expected to be active in the future: In maturity stage of the research development is going to be 'Apartment Price', 'Space', 'Management of Apartment Housing'; the hedonic model, which is research growth and development stage, is going to be '(Floor Impact) Noise', 'Community', 'Energy.

Comparative Analysis of News Big Data related to SARS-CoV, MERS-CoV, and SARS-CoV-2 (COVID-19)

  • Woo, Jae-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.8
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    • pp.91-101
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    • 2021
  • This paper intends to draw implications for preparing for Post-Corona in the health field and policy fields as the global pandemic is experienced due to COVID-19. The purpose of this study is to analyze the news and trends of media companies through temporal analysis of the three infectious diseases, SARS-CoV, MERS-CoV, and SARS-CoV-2 (COVID-19), in which the domestic infectious disease preventive system was active throughout the first year of the outbreak. To this end, by using the news analysis program of the Korea Press Foundation 'Big Kinds', the number of news articles per year was digitized based on the period when each infectious disease had an impact on Korea, and major trends were implemented and analyzed in a word cloud. As a result of the analysis, the number of articles related to infectious diseases peaked when the World Health Organization (WHO) declared a warning and (suspicious) confirmed cases occurred. According to keyword and word cloud analysis, 'infectious disease outbreak and major epidemic areas', 'prevention authorities', and 'disease information and confirmed patient information' were found to be the main common features, and differences were derived from the three infectious diseases. In addition, the current status of the infodemic was identified by performing word cloud analysis on information in uncertainty. The results of this study are significant in that they were able to derive the roles of the health authorities and the media that should be preceded in the event of a new disease epidemic through previously experienced infectious diseases, and areas to be rearranged.

Counseling Outcomes Research Trend Analysis Using Topic Modeling - Focus on 「Korean Journal of Counseling」 (토픽 모델링을 활용한 상담 성과 연구동향 분석 - 「상담학연구」 학술지를 중심으로)

  • Park, Kwi Hwa;Lee, Eun Young;Yune, So Jung
    • Journal of Digital Convergence
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    • v.19 no.11
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    • pp.517-523
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    • 2021
  • The outcome of the consultation is important to both the counselor and the researcher. Analyzing the trends of research on the results of counseling that have been carried out so far will help to comprehensively structure the results of consultations. The purpose of this research is to analyze research trends in Korea, focusing on research related to the outcomes of counseling published in 「Korean Journal of Counseling」 from 2011 to 2021, which is one of the well-known academic journals in the field of counseling in Korea. This is to explore the direction of future research by navigating the knowledge structure of research. There were 197 studies used for analysis, and the final 339 keyword were extracted during the node extraction process and used for analysis. As a result of extracting potential topics using the LDA algorithm, "Measurement and evaluation of counseling outcomes", "emotions and mediate factors affecting interpersonal relationships", and "career stress and coping strategies" are the main topics. Identifying major topics through trend analysis of counseling performance research contributed to structuring counseling performance. In-depth research on these topics needs to continue thereafter.