• Title/Summary/Keyword: 학술연구 동향

Search Result 2,256, Processing Time 0.035 seconds

Research Trends in Domestic Academic Fields on Dance Expression of Dancers (무용수의 무용표현력에 관한 국내 학술분야 연구동향)

  • Park, Geun-tae
    • Journal of Digital Convergence
    • /
    • v.16 no.11
    • /
    • pp.621-631
    • /
    • 2018
  • The purpose of this study is to grasp the research trends of domestic journals about dance expression ability. The thesis was selected from 36 articles selected from Korean Academic Information (KISS) provided by KERIS from 2001 to December, 2017 and articles related to dance expressions included in DBpia, Research methods, research subjects, and research themes. First, the research trends of the academic journals by year were on average 3 from 2004 to 2017. Second, the research method is mostly related to quantitative research methods. Third, research theme trends were dance expressiveness, body expression ability, and dance expressiveness. Fourth, the research subjects were dance students major, dance program, dance expression in order. In the future, it is necessary to confirm the research techniques and overcome the researches to overcome the research tendency based on questionnaire scales or statistical results.

중국에서의 한반도 지리에 관한 연구동향

  • 전경
    • Proceedings of the KGS Conference
    • /
    • 2002.11a
    • /
    • pp.1-8
    • /
    • 2002
  • 본문은 지난 20여년간 중국 학자들이 한반도에 대한 연구논문과 단행본을 토대로 학문 일반의 연구 동향, 그리고 지리학에 관해서는 자연지리학과 인문지리학으로 분류하여 그 연구동향을 살펴보려 한다.(중략)

  • PDF

Analysis of Research Trends in Cooperation between Industry and Specialized High School (특성화 고등학교 산학협동 관련 연구 동향 분석)

  • Kim, Young-Min;Kim, Hyun-Jeong;Lee, Chang-Hoon;Kim, Ki-Soo
    • 대한공업교육학회지
    • /
    • v.36 no.1
    • /
    • pp.95-114
    • /
    • 2011
  • The purpose of this study was to review and synthesize the papers in cooperation between industries and specialized high schools. We also try to provide explicit directions and suggestions for future researches. A total of 196 studies, including master's and doctoral theses up to 2010, were collected through RISS(Research Information Sharing Service), KISS(Koreanstudies Information Service System), and DBPIA(special database for domestic research information). The results were as follows. The number of papers has been increasing steadily. In the area of research, the field research was the most popular area. The most common type of the research was survey research and library research was followed. Similarly, questionnaire was the most popular method. Technical high schools were the most popular object of studies in specialized high schools. GyeongGi province was the most popular region of studies and Seoul was followed. The most common type of cooperation between industries and specialized high schools were actual training. The students in specialized high school was the most popular object of surveys, and teachers and industry people were followed.

Trends Analysis on Research Articles of the Sharing Economy through a Meta Study Based on Big Data Analytics (빅데이터 분석 기반의 메타스터디를 통해 본 공유경제에 대한 학술연구 동향 분석)

  • Kim, Ki-youn
    • Journal of Internet Computing and Services
    • /
    • v.21 no.4
    • /
    • pp.97-107
    • /
    • 2020
  • This study aims to conduct a comprehensive meta-study from the perspective of content analysis to explore trends in Korean academic research on the sharing economy by using the big data analytics. Comprehensive meta-analysis methodology can examine the entire set of research results historically and wholly to illuminate the tendency or properties of the overall research trend. Academic research related to the sharing economy first appeared in the year in which Professor Lawrence Lessig introduced the concept of the sharing economy to the world in 2008, but research began in earnest in 2013. In particular, between 2006 and 2008, research improved dramatically. In order to grasp the overall flow of domestic academic research of trends, 8 years of papers from 2013 to the present have been selected as target analysis papers, focusing on titles, keywords, and abstracts using database of electronic journals. Big data analysis was performed in the order of cleaning, analysis, and visualization of the collected data to derive research trends and insights by year and type of literature. We used Python3.7 and Textom analysis tools for data preprocessing, text mining, and metrics frequency analysis for key word extraction, and N-gram chart, centrality and social network analysis and CONCOR clustering visualization based on UCINET6/NetDraw, Textom program, the keywords clustered into 8 groups were used to derive the typologies of each research trend. The outcomes of this study will provide useful theoretical insights and guideline to future studies.

Research Trends of Oral History in Korea: Focusing on Domestic Academic Journals (국내 구술사 연구 동향 분석 - 학술지 논문을 중심으로 -)

  • Lee, Jae-Young;Chung, Yeon-Kyoung
    • Journal of Korean Society of Archives and Records Management
    • /
    • v.18 no.3
    • /
    • pp.25-47
    • /
    • 2018
  • This study aims to analyze the research trends of oral history research in Korea from 1991 to the present, and to provide basic data on the future direction of oral history research. For these purposes, 439 research articles of domestic oral history researchers from 1991 to 2018 were retrieved by keyword search from Research Information Sharing System (RISS) in Korean Education and Research Information Service (KERIS). The research trends of domestic oral history were analyzed by the volume of periodical research papers, major journals, authors and research funds, research fields and research contents, and international cooperation. Finally, based on the results of the study, the implications were summarized, and direction for follow-up research was provided.

A Comparative Analysis of the Research Subject in the Recent Journals of Information Science (주요 학술지 주제분석을 통한 정보학 연구동향 비교)

  • 유사라
    • Journal of the Korean BIBLIA Society for library and Information Science
    • /
    • v.14 no.2
    • /
    • pp.179-197
    • /
    • 2003
  • As information technology advances and changes in the library environment, a flexible view and reinventing perspective of LIS research is necessary. This study focused on the investigation of the recent(2000-2003) research trends by analyzing the contents of articles from the major academic research journals for getting a future oriented view of the field. A taxonomy developed by Hawkins(2003) was applied in order to find out the major pattern of research in the domestic as well as international LIS Journals, and Chi-Square Tests Analysis was used to figure out if the research pattern has any effect on research environment(vice versa).

  • PDF

스포츠 공학 기술 연구동향 소개

  • 이종화
    • Journal of the KSME
    • /
    • v.43 no.7
    • /
    • pp.34-42
    • /
    • 2003
  • 이 글에서는 기계공학 측면에서 바라본 스포츠공학 관련 국제 학술대회에서의 연구논문 발표 사례를 중심으로 이 분야의 연구동향을 개괄적으로 소개하고자 한다.

  • PDF

머신 비젼 연구의 동향과 전망

  • 권인소;이왕헌
    • ICROS
    • /
    • v.9 no.1
    • /
    • pp.30-34
    • /
    • 2003
  • 머신비전 기술은 거의 모든 지능형시스템에 필요한 핵심요소기술이다. 본 논문에서는 최근 머신비전기술의 연구 동향을 이론적 관점과 응용의 측면에서 검토하고 앞으로의 발전 방향을 전망해 보고자 한다. 연구동향을 파악하기 위해서 사용된 자료는 비전분야의 저명한 국제학술대회에 발표된 최근 수년 동안의 논문과 관련 분야에서 인정받고 있는 첨단기술을 중심으로 하였다. 이러한 연구동향을 바탕으로 하여 머신비전 기술의 두 가지 중요한 발전방향으로, "물체인식 분야"와 "비전과 그래픽스의 결합분야"를 예측해 보았다. 머신비전 기술의 응용은 가정자동화(Home automation)와 사회자동화(Social automation)로 예측하였고 그 근거에 대해서도 논의하였다.

A Study on Trend Analysis in Convergence Research Applying Word Cloud in Korea (워드 클라우드 기법을 이용한 국내 융복합 학술연구 트렌드 분석)

  • Kim, Joon-Hwan;Mun, Hyung-Jin;Lee, Hang
    • Journal of Digital Convergence
    • /
    • v.19 no.2
    • /
    • pp.33-38
    • /
    • 2021
  • The convergence trend is the core of the 4th industrial revolution, and due to such expectations and possibilities, various countermeasures are being sought in diverse fields. This study conducted a quantitative analysis to identify the trend of convergence research over the past 10 years. Specifically, major research keywords were extracted, word cloud techniques were applied, and visualized to identify trends in academic research on convergence. To this end, research papers from 2012 to 2020 published in journal of digital convergence were investigated. The analysis period was divided into two periods: the former 4 years(2012-2015) and the latter 4 years(2016-2019) to confirm the difference in research trends. In addition, the research papers of 2020 were analyzed in order to more clearly understand the changes in the research trend of the last year due to the COVID-19. The results of this study are significant in that they can be used as useful basic data for future research and to understand research trends as keywords in the field of convergence.