Journal of Korean Home Economics Education Association (한국가정과교육학회지)

Korea Home Economics Education Association (한국가정과교육학회)
권호 표지
DOI QR코드

DOI QR Code

Research Trend Analysis of Publications in the Journal of Home Economics Education Association Using Network Text Analysis

네트워크 텍스트 분석을 이용한 한국가정과교육학회지 논문의 연구 동향 분석

  • Received : 2019.09.01
  • Accepted : 2019.11.14
  • Published : 2019.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

The purpose of this study was to analyze the research trend in home economics education using network text analysis method. The 586 research articles published in the Journal of Home Economics Education Association between July, 2003 and December 2018 were examined using Neckinger 4, a social network analysis software. The frequency and centrality measures(degree centrality, closeness centrality, and betweenness centrality) were calculated for the words appeared throughout the whole period, and the centrality analysis and LAD(Latent Dirichlet Allocation) were conducted for the four sub-periods. The results are as follows: first, the most frequently appeared words are parents, culture, unit, health, career, consumption, practicality, etc. The words such as parents and management scored high in degree centrality; parents and male students in closeness centrality; and male students and units in betweenness centrality. Second, when divided into four periods, the words such as education, family, purpose, class, middle school, and school appeared most frequently across the periods; but some words such as 'purpose' (in period 3 and 4), or 'process' (in period 4) were salient only in certain periods. Third, the words with high centrality were consistent regardless of the types of centrality within each period. Fourth, the topic analysis using LAD showed that curriculum, textbook, family healthiness, teaching-learning, evaluation, dietary life, appearance management, and consumption were the topics consistently appeared across all periods. The topics have become diversified and deepened. New topics such as teacher training and safety appeared in later periods, possibly due to the curriculum and national policy changes, and housing as a less represented topic is suggested as an area that needs further research attention. This study has implication in that it allows researchers to identify the major research interests and the trends in research by researchers in home economic education.

이 연구는 네트워크 텍스트 분석을 이용하여 가정과교육 분야의 연구동향을 분석하였다. 2003년 7월부터 2018년 12월 사이에 한국가정과교육학회지에 게재된 586편의 논문의 주제를 소셜 네트워크 분석프로그램인 Netminer 4의 텍스트분석 도구를 이용하여 주제어들의 출현빈도와 중심성 분석(연결중심성, 근접중심성, 매개중심성), 시기별 LDA 분석 등을 실시하였다. 그 결과는 다음과 같다. 첫째, 전반적으로 출현 빈도가 높은 단어들은 부모, 문화, 단원, 건강, 진로, 소비, 실천성 등이었다. 주제어 네트워크 분석 결과, 연결중심성은 부모, 관리가 가장 높았고, 근접중심성은 부모, 남학생, 매개중심성은 남학생, 단원 등이 가장 높게 나타났다. 둘째, 2003년부터 2018년까지의 연구를 4개 시기로 나누어 중심성 분석을 실시한 결과, 네 시기 모두 교육, 가정, 목적, 수업, 중학교, 학교 등 출현 빈도수가 높은 단어들은 유사하였으나, 시기별로는 제3, 제4시기에는 '목적'이라는 단어가, 제4시기에는 '과정' 이라는 단어가 두드러지게 나타났다. 셋째, 시기별 중심성 분석 결과 중심성의 종류와 무관하게 각 시기에 중요한 역할을 하는 단어들은 일정한 것으로 나타났다. 넷째, LDA 분석을 통한 토픽 변화를 분석하였을 때 교육과정, 교과서, 가족건강성, 교수학습, 평가, 식생활, 외모관리, 소비 등은 모든 시기에 지속적으로 등장하였다. 4개 시기의 토픽은 점차 다양화되고, 세분화되며, 심화되는 경향을 보였다. 연구를 통해 교육과정의 변화와 국가정책이 반영되어 새롭게 등장한 토픽인 교사연수와 안전이 주제어로 도출되었으며, 상대적으로 연구의 관심이 낮았던 토픽은 주거임이 드러나 학자들의 관심과 연구 활성화가 요구된다고 할 것이다. 이 연구는 2000년대 이후 한국가정과교육학계에서 이루어진 연구들의 주요 관심사를 파악할 수 있었다는 점과 관심사들의 순위를 제시하였다는 점에서 의미가 있다.

Keywords

References

  1. Barabasi, A.-L., Albert, R., & Jeong, H. (1999). Mean-field theory for scale-free random networks. Physica A: Statistical Mechanics and Its Applications, 272(1-2), 173-187. doi:10.1016/S0378-4371(99)00291-5
  2. Blei, D. M. (2012). Probabilistic topic models: Surveying a suite of algorithms that offer a solution to managing large document archives. Communications of the ACM, 55(4), 77-84. https://doi.org/10.1145/2133806.2133826
  3. Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent dirichlet allocation. Journal of Machine Learning Research, 3, 993-1022.
  4. Cha, E.-J., & Kim, Y.-J. (2016). Characteristics of peer relationships network in university students majoring in Korean dance: Social network analysis. The Korean Journal of Physical Education, 55(3), 517-528.
  5. Choi, Y. C., & Park, S. J. (2011). Research trend analysis of Korean public administration: Application of network text analysis. [한국행정학의 연구경향 분석: 네트워크 텍스트 분석 방법의 적용]. Korean Public Administration Review, 45(1), 123-139.
  6. Cho, B. E., Lee, J. H., Lee, H. J., & Joo, H. J. (2009). Research trends on human development and family studies in Journal of Korean Home Economic Education: A review and prospect of research during the past 20 years. Journal of Korean Home Economics Education Association, 21(3), 143-161.
  7. Cho, J. (2011). A study for research area of library and information science by network text analysis. Journal of the Korean Society for Information Management, 28(4), 65-83. https://doi.org/10.3743/KOSIM.2011.28.4.065
  8. Cho, J.-S., Jun, M.-K., & Lee, Y.-J. (2009). The 20 years' activities of Korean Home Economics Education Association: accomplishments and future tasks. Journal of Korean Home Economics Education Association, 21(3), 177-193.
  9. Choi, C.-H., & Lee, J.-B. (2017). The knowledge structure analysis on taekwondo researches: application of keyword network analysis. The Korean Journal of Physical Education, 56(3), 627-644. doi.org/10.23949/KJPE.2017.05.56.3.47
  10. Cyram. (2017). 텍스트 네트워크 분석 교육 [Text network analysis education]. (Unpublished lecture material) Seoul: Cyram.
  11. Freeman, L. C. (1979). Centrality in social networks conceptual clarification. Social Networks, 1(3), 215-239. doi:10.1016/0378-8733(78)90021-7
  12. Guerreiro, J., Rita, P., & Trigueiros, D. (2016). A text mining-based review of cause-related marketing literature. Journal of Business Ethics, 139(1), 111-128. https://doi.org/10.1007/s10551-015-2622-4
  13. Heo, Y. S., Kim, N. E., Choi, M. J., Back, M. K., Gwak, S. J., & Cho, J. S. (2013). Changes of housing in the FCS curricular from the 1st to 2009 revised of secondary school. Journal of Korean Home Economics Education Association, 25(1), 95-118.
  14. Hong, S. Y., & Choi, J. W. (2017). Research trends of student support in higher education using topic modeling. Journal of Learner-Centered Curriculum and Instruction, 17(8), 21-48. doi:10.22251/jlcci.2017.17.8.21
  15. Hwang, D.-S., Han, K.-M., & Hong, E.-S. (1995). A content analysis on the treatises of KHERJ for the academic identification of home economics. Journal of the Korean Home Economics Association, 33(3), 17-30.
  16. Jang, S.-O. (2007). Trends of housing education researches in Korea and Japan from 1989 to 2006: Focused on the journal of korean home economics education and journal of the japan association of home economics education. Journal of Korean Home Economics Education Association, 19(2), 115-129.
  17. Jin, H.-J. (2013). Research trends on the clothing behaviors of school-aged children: Focus on research articles published between 1991 and 2012. Journal of Korean Practical Arts Education, 19(3), 85-102. doi.10.17055/jpaer.2013.19.3.85
  18. Kang, B., Song, M., & Jho, W. (2013). A study on opinion mining of newspaper texts based on topic modeling. Journal of the Korean Society for Library and Information Science, 47(4), 315-334. doi:10.4275/KSLIS.2013.47.4.315
  19. Kim, D.-R., Kwon, K.-S., & Jeong, S.-B. (2015). Knowledge structure analysis on business administration research using keyword network analysis. Journal of Decision Science, 23(1), 111-125.
  20. Kim, E. J., Kwon, Y., & Lee, Y.-J. (2014). Research trends in teaching-learning methods for home economics education. Journal of Korean Home Economics Education Association, 26(3), 17-34.
  21. Kim, E. J., & Lee, Y.-J. (2018). Influence of middle school students' gender type and gender equity awareness on attitudes toward technology and home economics. Family and Environment Research, 56(1), 1-14. doi:10.6115/fer.2018.001
  22. Kim, E. J., Lee, Y.-J., & Kim, J. (2018). Research trend analysis on practical arts (technology & home economics) education using social network analysis. Family and Environment Research, 56(6), 603-617. doi.org/10.6115/fer.2018.043
  23. Kim, N. E. (2016). An analysis of the research trends in safety education for home economics education. Journal of Korean Home Economics Education Association, 28(3), 47-63. https://doi.org/10.19031/jkheea.2016.09.28.3.47
  24. Kim, N.-Y., & Rhee, K.-C. (2005). A study of consumer education research on school-aged children and adolescents: Focused on research subject, method and target of education. Journal of Korean Home Economics Education Association, 17(4), 27-40.
  25. Kim, S., Park, J., Lee, H., & Chung, Y.-J. (2016). A study on the research trends of multicultural art education using the text mining technique. Multicultural Education Studies, 9(2), 203-227. doi:10.14328/MES.2016.6.30.203
  26. Kwak, K. Y. (2014). 소셜네트워크 분석 [Analysis of social network]. Seoul: Chungram Press.
  27. Lee, E.-J. (2017). Trends and direction of dietary education research in elementary school. Journal of korean practical Arts Education, 30(1), 85-108. doi.10.24062/kapae.30.1.85
  28. Lee, I. W. (2012). 정책방법론 동향 : 사회연결망 분석 방법론의 최근 동향 [Trend of policy methodology: Research trend of social network analysis methodology]. The Korea Association for Policy Studies, 28(0), 32-37.
  29. Lee, J. G., Kim, E. K., & Cho, J. (2019). Research trends of articles in the Journal of Korean Home Economics Education Association during the last decade (2009. 3-2018. 12). Journal of Korean Home Economics Education Association, 31(2), 95-110. doi:10.19031/jkheea.2019.06.31.2.95
  30. Lee, K. E., Jin, E. N., Kim, K. C., Chae, J. H., You, J. A., & Kim, S. A. (2010). A study on the curriculum improvements by subject in the revised national curriculum of 2009: 'practical arts(technology and home economics)', 'physical education', 'music', 'fine arts' subjects. Korea Institute for Curriculum and Evaluation RRC 2010-14. Seoul: Korea.
  31. Lee, S.-S. (2011). An analytical study on the properties of coauthorship network based on the co-author frequency. Journal of Korean Library and Information Science Society, 42(2), 105-125. doi:10.16981/kliss.42.2.201106.105
  32. Lee, S.-S. (2012). 네트워크 분석 방법론 [Network analysis methods]. Seoul: Nonhyoung.
  33. Lee, S.-Y., Kim, S., & An, D. (2018). Examining teachers' perceptions about academic versus creative giftedness using the text network analysis. The Journal of the Korean Society for the Gifted and Talented, 17(2), 31-54.
  34. Lee, Y.-J., Kim, E. J., & Kim, J. S. (2019). Analysis of co-author network in technology & home economics education of practical arts. Journal of Korean Practical Arts Education, 32(1), 103-124. doi.org/10.24062/kpae.2019.32.1.103
  35. Lee, Y.-O., & Park, H. W. (2016). Taking the 'pulse' of public opinion from non-political spaces during elections. Journal of The Korean Data Analysis Society, 18(6), 2949-2960.
  36. Lim, S. Y., Lim, Y. M., & Lee, J. Y. (2014). Study on the trends of U-city and smart city researches using text mining technology. Journal of the Korean Society for Geospatial Information System, 22(3), 87-97. doi:10.7319/kogsis.2014.22.3.087
  37. Moon, H.-K., & Lee, Y.-Y. (2009). Research trends in clothing and textiles education. Journal of Korean Home Economics Education Association, 21(2), 109-125.
  38. Park, J.-H., & Song, M. (2013). A study on the research trends in library & information science in Korea using topic modeling. Journal of the Korean Society for Information Management, 30(1), 7-32. doi:10.3743/KOSIM.2013.30.1.007
  39. Park, M.-J., Yu, I.-Y., Lim, I.-Y., Lee, J.-H., & Cho, J.-S. (2007). Contents analyses of housing educational research in home economics of secondary school. Journal of Korean Home Economics Education Association, 19(2), 35-49.
  40. Park, S.-J., Lee, J.-W., & Lee, H.-W. (2016). Construct of knowledge map based on social network analysis of sports psychology keyword. The Korean Journal of Physical Education, 55(3), 187-198.
  41. Perra, N., & Fortunato, S. (2008). Spectral centrality measures in complex networks. Physical Review E, 78(3), 036107-036116. doi:10.1103/PhysRevE.78.036107
  42. Popping, R. (2000). Computer-assisted text analysis. London, Thousand Oaks: Sage Publications.
  43. Ryu, S.-H. (2014). Research trends on clothing and textiles education in practical arts. Journal of Korean Practical Arts Education, 20(4), 1-17. doi.10.17055/jpaer.2014.20.4.1
  44. Song, H.-J., Park, K.-S., Jung, H.-E., & Song, M. (2013). Trend analysis of korean economy in the economic literature by text mining techniques. Korea Society for Information Management, 2013(8), 47-50.
  45. Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge: Cambridge University Press. doi:10.1017/CBO9780511815478
  46. Yang, K. (2017). Research trend analysis of 'international commerce and information review' using SNA-based keyword network analysis. International Commerce and Information Review, 19(1), 23-42.
  47. Yang, M. (2011). Exploring the characteristics of korean academic community of education based on citation analysis. The Journal of educational research, 49(3), 1-31.
  48. Yoon, I.-K. (2001). Trend analysis of Korean Home Economics Education research. Journal of Korean Home Economics Education Association, 13(2), 73-83.
  49. Yoon, I.-K., Lee, J.-G., & Kim, S.-G. (2005). Analysis of the Journal of Korean Home Economics Education Research. Journal of Korean Home Economics Education Association, 17(4), 55-71.
  50. Yoon, J. A., Kim, S. J., & Seo, H. A. (2016). Investigating trends of gifted education in domestic and foreign countries through social network analysis from 2010 to 2015. Journal of Gifted/Talented Education, 26(2), 347-363. doi:10.9722/JGTE.2016.26.2.347
  51. Yu, I.-Y., Bae, H.-Y., Lee, J.-H., Min, E.-H., Choe, M.-S., & Cho, J.-S. (2008). Research trends of home economics education Ph. D. dissertation. Journal of Korean Home Economics Education Association, 20(4), 239-252.
  52. Yun, M.-R. (2019). A semantic network analysis of research trends on adolescent dietary life. Unpublished master's thesis, Kyungpook National University, Daegu, Korea.