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http://dx.doi.org/10.22156/CS4SMB.2022.12.03.025

Topic Modeling and Network Analysis of Peace Education and Unification Education Based on Big Data Analysis  

Kim, Byung-Man (Department of Early Childhood Education, Kyungnam University)
Publication Information
Journal of Convergence for Information Technology / v.12, no.3, 2022 , pp. 25-37 More about this Journal
Abstract
The purpose of this study is to comprehensively check trends in policies, discourses, educational directions and contents, and social issues by deriving the subjective characteristics of peace education and unification education based on big data analysis. The results of this study are as follows. First, 'peace', 'unification', 'education', 'research', 'student', 'school', 'teacher', 'target', and 'Korean Peninsula' were commonly important keywords in peace education and unification education. Second, the top topic of peace education was 'peace education and civic education', and the top topic of unification education was ' sympathy and participation in unification education'. Third, topics that show an upward trend by regime in peace education were 'World Peace and Human Rights' and 'Object and Direction of Peace Education', and 'Subject of Unification Education' as topics that showed an upward trend by regime in unification education. Fourth, in peace education, the centrality of 'peace', 'education', 'student', 'school', and 'peace education' was high, and in unification education, 'unification', 'education', 'unification', 'school', and 'teacher' were high. Based on these results, it was intended to expand the horizon of understanding peace education and unification education, and to provide meaningful implications for establishing policies and conducting follow-up studies.
Keywords
Peace Education; Unification Education; Big Data Analysis; Topic Modeling; Network Analysis;
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1 B. M. Kim & K. H. Lee (2020). Keyword network analysis on the integrated research trends of early childhood education and childcare. International Journal of Innovation, Creativity and Change, 13(3), 595-607.
2 E. J. Shin. (2019). Analysis on the Contents of Peace and Unification Education of Moral Textbooks from 2015 Revised Curriculum. Master's thesis. Seoul National University of Education, Seoul.
3 B. H. Lee. (2021). A Study on Character, Objects, and Content System of'Peace and Unification. Korean Journal of Reunification Education, 29(2), 27-53.
4 H. J. Seo & B. K. Cho. (2016). Semantic Network Analysis of Responsibility as Character Education Virtue Using Big Data. Journal of children's Literature and Education, 17(4), 465-484. UCI : G704-001817.2016.17.4.009.   DOI
5 Y. H. Kim & Y. J. Kim. (2016). Social Network Analysis. Seoul: Parkyoungsa.
6 Y. J. Moon. (2020). An Analysis of Trends in Researches on the Open Recruitment System for Principals based on Topic Modeling and Keyword Network Analysis, Education and culture research, 26(1), 217-242. DOI : 10.24159/joec.2020.26.1.217.   DOI
7 H. I. Hwang, K. H. Lee & H. S. Je. (2018). A Network analysis of young children' self-esteem based on big data. Korean Journal of Early Childhood Education, 38(4), 213-235. DOI : 10.18023/kjece.2018.38.4.009   DOI
8 S. H. Kim. (2018). A Study for Semantic Network Analysis of Peace-Welfare as the Social Welfare Discourse : A Structure of Semantic on Newspaper by Regime(1998~2017). Master's thesis. Seoul Women's University, Seoul.
9 H. Y. Jung & B. M. Kim. (2022). Network Analysis on Social Perception of Low Childbirth from Big Data: Focusing on Early Childhood Education and Childcare Policies. Korea Journal of Child Care and Education, 132, 77-103. DOI : 10.37918/kce.2022.1.132.77.   DOI
10 H. J. Nam. (2016). Distributive Justice and Social Policy: Attempt As Convergence Study of Cultural Sciences and Social Science for Reasonable Welfare Discussions in Korean Society. The Journal of Eurasian Studies, 13(3), 199-215. DOI : 10.31203/aepa.2016.13.3.009.   DOI
11 M. J. Kim & B. M. Kim. (2022). LAD Analysis of Policy Reports for Low Birth Patterns. Lecture Notes in Electrical Engineering, 747, 383-393. DOI : 10.1007/978-981-16-0115-6_40.   DOI
12 B. M. Kim, J. J. Youn, S. J. Jeong & K. H. Lee. (2018). Keyword network analysis for creativity and personality of early childhood teachers: Focus on big data. Indian Journal of Public Health Research & Development, 9(11), 850-856. DOI : 10.5958/0976-5506.2018.01566.8.   DOI
13 H. B. Park. (2020). A Study on the Interconnection and Improvement of Reunification Education with Democratic Citizenship Education and Peace Education in the Moral Education Curriculum. Journal of Moral & Ethics Education, 67, 99-128. DOI : 10.18338/kojmee.2020..67.99   DOI
14 H. J. Min. (2015). Bigdata trend diversified analysis using Topic modeling. Master's thesis. Seoul National University of Science and Technology, Seoul.
15 Y. M. Park. (2015). Newspaper Analysis on Discourse upon Korea Unification in South Korean Society. Master's thesis. Yonsei University, Seoul.
16 B. M. Kim. (2019). Network Analysis of the Social Discourse of Integration of ECEC, Based on Big Data. Journal of Educational Innovation Research, 29(2), 17-39. DOI : 10.21024/pnuedi.29.2.201906.17.   DOI
17 T. Van Dijk. (1998). Opinions and ideologies in the press. In A.Bell. & P.Garrett(Eds.). Approaches to Media Discourse, pp. 21-63. London, UK: Blackwell.
18 W. K. Kim & J. Y. Yoo. (2019). Analysis on the Trends of Research Themes of the Korean Dance Using Text Mining. Journal of the Korea Entertainment Industry Association, 13(5), 215-228. DOI : 10.21184/jkeia.2019.7.13.5.215   DOI
19 S. S. Lee. (2013). Network analysis methods. Seoul: Nonhyung.
20 D. L. Oh. (2018). A Critical Action Research for Unification Education Based on Peace Studies. Doctoral dissertation. Yonsei University, Seoul.
21 S. H. Kim, N. S. Chang & K. W. Kim. (2021). Academic Trend Analysis of Shared Economy Based on Text Mining and Network Analysis. Journal of the Korea Entrepreneurship Society, 16(2), 15-34. DOI : 10.24878/tkes.2021.16.2.15   DOI
22 B. M. Kim & K. H. Lee. (2020). An exploration of a directions for preparing early childhood finance policy to promote common good based on complexity: focusing on social discourse and competitive Discourse analysis. Journal of Learner-Centered Curriculum and Instruction. 20(10), 407-438. DOI : 10.22251/jlcci.2020.20.10.407.   DOI
23 Y. M. Park & W. S. Jho. (2015). Big Data Analysis on Media Partisanship and Reunification Discourse in South Korean Society. East and West Studies, 27(2), 403-431. UCI : G704-SER000014470.2015.27.2.010.
24 J. Born, E. Scheihing, J. Guerra & L. Carcamo. (2014). Analysing microblogs of middle and high school students. In European Conference on Technology Enhanced Learning (pp. 15-28). Springer, Cham.