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Keyword Network Analysis on ‘Free Semester Policy’ with Korean Newspaper Articles

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Authors
Shin, Anna; Yu, Ye-lim; Kim, Yun-kyung
Issue Date
2017-12
Publisher
서울대학교 교육종합연구원
Citation
The SNU Journal of Education Research, Vol.26 No.4, pp. 17-42
Keywords
Free Semester Policybig data analysiskeyword network analysis
Description
An earlier version of this article was presented at the 18th international conference on education research, Educational Research Institute, Seoul National University, Korea, October 19th, 2017.
Abstract
This study aims to explore issues emerged from Korea’s ‘Free Semester Policy’ through keyword network analysis on newspaper articles. Using web-scraping with Python, the published articles from 11 major daily newspapers between 2013 and 2017 were collected. After preprocessing the collected data, keyword frequency analysis and keyword network analysis were conducted in each of the five phases of the policy process in order to identify the keywords and to ascertain their association. Throughout all phases of the policy, promoting opportunities for career exploration and improving instruction methods via national and local support and cooperation were at the core of the policy. The analysis showed that there were visible changes as the policy progressed from one phase to another. Having identified the core issues surrounding Free Semester Policy, this research will be a stepping stone to analyze other education policies.
ISSN
1225-5335
Language
English
URI
http://hdl.handle.net/10371/168473
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College of Education (사범대학)Center for Educational Research (교육종합연구원)SNU Journal of Education ResearchSNU Journal of Education Research vol.26 (2017)
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