• 대한공업교육학회지
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• v.31 no.1
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• pp.146-169
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• 2006

'VEC 2010' is a mid-long term scheme on the development of Vocational Education for Chung-buk which is to be accomplished by 2010. On the basis of this scheme, schools adopt 3-Type curriculum considering their conditions and covert themselves into specialized high school which is associated with local industry cluster. They also establish combined high schools which run various curriculums emphasizing basic vocational abilities so that they can meet the needs of demanders The activation plan of Chung-buk province vocational education is a dualized one which is for both ongoing education for entrance into a school of higher grade and the last education for employment, which is supposed to foster the human resources required by the knowledge-based society in the 21st century. The specific contents of 'VEC 2010' is as follows. First, VEC 2010 presents 2 kinds of mid-long term management system for industrial high schools: general industrial high school, specialized high school(single type, combined type). Second, VEC 2010 arranges and run the 3-Type of curriculum of Chung-buk province industrial high schools: employment-centered type, entering higher school-centered type, inaugurating enterprise-centered type. Third, VEC 2010 divides Chung-buk province industrial high schools into 4 districts and suggests mid-long term reorganization plan of system. Fourth, VEC 2010 suggests the substantial strategies of Chung-buk province vocational education: scholarship improvement in the vocational investigation course of the government-sponsored scholastic aptitude test, education for improving basic vocational abilities, substantial management of joint laboratory, administrative and financial support of development of specialized, licensed textbooks. reenforcement of career education.

• Journal of Korea Trade
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• v.24 no.5
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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.

• Korea Trade Review
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• v.45 no.5
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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.