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http://dx.doi.org/10.5762/KAIS.2017.18.3.586

Text Mining-Based Analysis for Research Trends in Vocational Studies  

Yook, Dong-In (Dept. of vocation, Kyunggi University Graduate School)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.18, no.3, 2017 , pp. 586-599 More about this Journal
Abstract
This study attempts to understand the overall research trends in Vocational Studies using a text mining method, which is a means to analyze big data. The findings of the research show that Vocational Studies in Korea has been directly influenced by global economic crises, as evidenced by its exponential growth after the 1997 foreign exchange crisis that resulted in a bailout from the IMF. In addition, the topics of research have been shifting from such macro subjects as government policies and systems to such micro topics as individual career development. Moreover, the perspective of research is being moved from the socially vulnerable, including women and the disabled, to the economically marginalized, including retirees and the unemployed. As for the research targets, college students overwhelmingly outnumbered primary and secondary school students. However, few cases analyzed the clinical outcomes of career counseling or attempted to process job information and study the history of jobs. This research is limited in that it only analyzed journal abstracts. Nonetheless, it is meaningful because it used topic analysis, one of the text mining methods, to give a complete enumeration of all articles available for search, thereby crafting a framework of quantitative analysis methodology for Vocational Studies. It is also significant in that it is the first attempt to analyze themes in every stage of the development of Vocational Studies.
Keywords
Career; Research trends; Text mining; Topic analysis; Vocational Studies;
Citations & Related Records
Times Cited By KSCI : 9  (Citation Analysis)
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