• 제목/요약/키워드: VEC 2010

검색결과 3건 처리시간 0.019초

충청북도 직업교육 중·장기발전 방안 (Research on development plan of medium and long period of Vocational Education for Chungbuk)

  • 오승균;우상호;은태욱;김진권;김진수
    • 대한공업교육학회지
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    • 제31권1호
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    • pp.146-169
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    • 2006
  • 'VEC 2010'은 2010년까지 충청북도 직업교육(Vocational Education for Chungbuk)에 대한 중 장기 발전 방안의 비전을 의미한다. 이를 위해 학교실정에 맞도록 '3-Type 교육과정'의 유형을 선택 도입하고, 각 권역별로 지역 산업 클러스터와 연계하여 전문화된 특성화고등학교로 전환하여 운영한다. 또한 직업기초능력 교육에 중점을 둔 다양한 교육과정을 운영하여 수요자의 요구를 충족시킬 수 있는 통합형고등학교를 운영한다. 충청북도 직업교육의 활성화 방안은 대학 진학을 위한 계속교육과 취업을 위한 종국교육으로, 이원화된 교육을 실시하여 21세기 지식기반사회가 요구하는 인재를 양성하고자 하는 취지를 가지고 있다. 'VEC 2010'의 구체적인 내용은 다음과 같다. 첫째, 실업계고등학교의 중 장기 운영 체제 유형을 일반 실업계고등학교와 특성화고등학교(단일형, 복합형)로 제시하였다. 둘째, 충청북도 실업계고등학교의 교육과정 유형을 '3-Type(취업중심형, 진학중심형, 창업중심형) 교육과정'으로 구분하여 편성 운영한다. 셋째, 충청북도 실업계고등학교를 4대 권역으로 나누어 중 장기적 체제 개편 방향을 제시하였다. 넷째, 충청북도 직업교육의 내실화 방안은 대학수학능력시험 직업탐구영역의 학력제고, 직업기초능력 신장, 공동실습소의 운영 내실화, 전문교과 인정도서 개발의 행 재정지원, 교육과정 및 진로교육의 강화 등을 제시하였다.

Association Modeling on Keyword and Abstract Data in Korean Port Research

  • Yoon, Hee-Young;Kwak, Il-Youp
    • Journal of Korea Trade
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    • 제24권5호
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    • pp.71-86
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    • 2020
  • Purpose - This study investigates research trends by searching for English keywords and abstracts in 1,511 Korean journal articles in the Korea Citation Index from the 2002-2019 period using the term "Port." The study aims to lay the foundation for a more balanced development of port research. Design/methodology - Using abstract and keyword data, we perform frequency analysis and word embedding (Word2vec). A t-SNE plot shows the main keywords extracted using the TextRank algorithm. To analyze which words were used in what context in our two nine-year subperiods (2002-2010 and 2010-2019), we use Scattertext and scaled F-scores. Findings - First, during the 18-year study period, port research has developed through the convergence of diverse academic fields, covering 102 subject areas and 219 journals. Second, our frequency analysis of 4,431 keywords in 1,511 papers shows that the words "Port" (60 times), "Port Competitiveness" (33 times), and "Port Authority" (29 times), among others, are attractive to most researchers. Third, a word embedding analysis identifies the words highly correlated with the top eight keywords and visually shows four different subject clusters in a t-SNE plot. Fourth, we use Scattertext to compare words used in the two research sub-periods. Originality/value - This study is the first to apply abstract and keyword analysis and various text mining techniques to Korean journal articles in port research and thus has important implications. Further in-depth studies should collect a greater variety of textual data and analyze and compare port studies from different countries.

초록데이터를 활용한 국내외 FTA 연구동향: 2000-2020 (Trends in FTA Research of Domestic and International Journal using Paper Abstract Data)

  • 윤희영;곽일엽
    • 무역학회지
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    • 제45권5호
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    • pp.37-53
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    • 2020
  • This study aims to provide the implications of research development by comparing domestic and international studies conducted on the subject of FTA. To this end, among the papers written during the period from 2000 to July 23, 2020, papers whose title is searched by FTA (Free Trade Agreement) were selected as research data. In the case of domestic research, 1,944 searches from the Korean Citation Index (KCI) and 970 from the Web of Science and SCOPUS were selected for international research, and the research trend was analyzed through keywords and abstracts. Frequency analysis and word embedding (Word2vec) were used to analyze the data and visualized using t-SNE and Scattertext. The results of the analysis are as follows. First, in the top 30 keywords of domestic and international research, 16 out of 30 were found to be the same. In domestic research, many studies have been conducted to analyze the outcomes or expected effects of countries that have concluded or discussed FTAs with Korea, on the other hand there are diverse range of study subjects in international research. Second, in the word embedding analysis, t-SNE was used to visually represent the research connection of the top 60 keywords. Finally, Scattertext was used to visually indicate which keywords were frequently used in studies from 2000 to 2010, and from 2011 to 2020. This study is the first to draw implications for academic development through abstract and keyword analysis by applying various text mining approaches to the FTA related research papers. Further in-depth research is needed, including collecting a variety of FTA related text data, comparing and analyzing FTA studies in different countries.