중등학교 가정과교사 임용시험의 핵심 키워드 탐색: 내용 분석과 텍스트 네트워크 분석을 중심으로 Exploring the Core Keywords of the Secondary School Home Economics Teacher Selection Test: A Mixed Method of Content and Text Network Analyses원문보기
The purpose of this study was to explore the trends and core keywords of the secondary school home economics teacher selection test using content analysis and text network analysis. The sample comprised texts of the secondary school home economics teacher 1st selection test for the 2017-2022 school ...
The purpose of this study was to explore the trends and core keywords of the secondary school home economics teacher selection test using content analysis and text network analysis. The sample comprised texts of the secondary school home economics teacher 1st selection test for the 2017-2022 school years. Determination of frequency of occurrence, generation of word clouds, centrality analysis, and topic modeling were performed using NetMiner 4.4. The key results were as follows. First, content analysis revealed that the number of questions and scores for each subject (field) has remained constant since 2020, unlike before 2020. In terms of subjects, most questions focused on 'theory of home economics education', and among the evaluation content elements, the highest percentage of questions asked was for 'home economics teaching·learning methods and practice'. Second, the network of the secondary school home economics teacher selection test covering the 2017-2022 school years has an extremely weak density. For the 2017-2019 school years, 'learning', 'evaluation', 'instruction', and 'method' appeared as important keywords, and 7 topics were extracted. For the 2020-2022 school years, 'evaluation', 'class', 'learning', 'cycle', and 'model' were influential keywords, and five topics were extracted. This study is meaningful in that it attempted a new research method combining content analysis and text network analysis and prepared basic data for the revision of the evaluation area and evaluation content elements of the secondary school home economics teacher selection test.
The purpose of this study was to explore the trends and core keywords of the secondary school home economics teacher selection test using content analysis and text network analysis. The sample comprised texts of the secondary school home economics teacher 1st selection test for the 2017-2022 school years. Determination of frequency of occurrence, generation of word clouds, centrality analysis, and topic modeling were performed using NetMiner 4.4. The key results were as follows. First, content analysis revealed that the number of questions and scores for each subject (field) has remained constant since 2020, unlike before 2020. In terms of subjects, most questions focused on 'theory of home economics education', and among the evaluation content elements, the highest percentage of questions asked was for 'home economics teaching·learning methods and practice'. Second, the network of the secondary school home economics teacher selection test covering the 2017-2022 school years has an extremely weak density. For the 2017-2019 school years, 'learning', 'evaluation', 'instruction', and 'method' appeared as important keywords, and 7 topics were extracted. For the 2020-2022 school years, 'evaluation', 'class', 'learning', 'cycle', and 'model' were influential keywords, and five topics were extracted. This study is meaningful in that it attempted a new research method combining content analysis and text network analysis and prepared basic data for the revision of the evaluation area and evaluation content elements of the secondary school home economics teacher selection test.
Baek, M. K. (2017). A trend analysis of the teacher recruitment？examination for secondary Home Economics subject - From 2009 to？2016 -. Journal of Korean Home Economics Education Association, 29(2),？53-66. https://doi.org/10.19031/jkheea.2017.06.29.2.53
Chae, J. H., Park, M. J., Kim, S. G., & Han, J. (2017). Instruction to home？economics education. Paju: Gyomoonsa.
Gham, K. W., & Park, M. J. (2020). Analysis of research trends in home？economics education by language network analysis: Focused on？the KCI journals (2000-2019). Journal of Korean Home Economics？Education Association, 32(3), 179-197. https://doi.org/10.19031/jkheea.2020.09.32.3.179
Jung, S. H., Park, M. J., & Chae, J. H. (2012). An analysis of examination？items for secondary Home Economics teaching certification -？Focusing on evaluation content elements of Home Economics -.？Journal of Korean Home Economics Education Association, 24(2),？135-154.
Cho, H. J., Park, M. S., Park, E. S., Shin, H. S., Wang, S. S., Lee, Y. J.,？et al. (2008). [Teacher qualification standards, evaluation areas,？and evaluation content elements of the indicated subject 「Home？Economics」. KICE & KHEEA.
Kim, M. K. (2010). An analysis study on the Home-economics teacher？recruitment examination for secondary school -'Home management &？Consumer science' question-items in center- (Unpublished master's？thesis). Korea University, Seoul, Korea.
Kim, S. S., & Chae, J. H. (2007). An analysis of the Home Economics？education discipline items in the teacher recruitment examination？for secondary school. Journal of Korean Home Economics Education？Association, 19(3), 149-168.
Kim, Y., Cho, J. S., Lee H. J., Cho, B. E., & Chae, J. H. (2004). Analysis of？questions in the secondary school home economics teacher selection？test. Korean Journal of Teacher Education, 20(1), 264-275.
Kwon, C. H. (2018). An analysis on contents of the pedagogy examination？for secondary-school teacher's employment using text mining & semantic？network analysis. Journal of Educational Innovation Research, 28(3), 1-25.？https://doi.org/10.21024/pnuedi.28.3.201809.1
Kwon, C. H. (2022). Analysis of keywords and language networks of？pedagogical problems in the secondary-school teacher's employment？exam: Focusing on the 2019~2022 School Year Exam. Journal of the？Korea Society of Computer and Information, 27(7), 115-124. https://doi.org/10.9708/jksci.2022.27.07.115
Lee, E. Y., Kim, J. S., & Na, Y. J. (2020). Correlation between curriculum and？employing testing for secondary school teachers in Home Economics？subjects. Family and Environment Research, 58(2), 187-200. https://doi.org/10.6115/fer.2020.014
Lee, S. S. (2012). Network analysis methods. Seoul: Nonhyoung.
Lee, S. S. (2014). A content analysis of journal articles using the？language network analysis methods. Journal of the Korean Society？for Information Management, 31(4), 49-68. https://doi.org/10.3743/KOSIM.2014.31.4.049
Lee, Y. S., Han, M. G., & Yoo, H. S. (1992). A study on the improvement？of the new teacher recruitment and transfer system. KEDI. RR92-32,？1-269.
Park, C. S., & Chung, C. W. (2013). Text network analysis: a case of？identifying shared meaning among policy stakeholders through？socio-cognitive network analysis. Journal of Governmental Studies,？19(2), 73-108.
The Korea Institute for Curriculum and Evaluation. Retrieved October 2,？2022, from https://www.kice.re.kr/
The National Legal Information Center. Education Public Officials Act (Act？No. 18298), Retrieved October 2, 2022, from https://www.law.go.kr/
Yu, N. S. (2011). An analysis of the items for the Home Economics teacher？selection test from the perspective of the pedagogical content knowledge？in Home Economics education. Family and Environment Research, 49(1),？1-16. http://doi.org/10.6115/khea.2011.49.1.001
Yu, S., Park, S., & Cho, H. (2021). An analysis on the public kindergarten？teacher appointment examination essay questions using network？analysis. The journal of Korea Early Childhood Education, 28(4), 29-54.？http://doi.org/10.22155/JFECE.28.4.29.54
AI-Helper
※ AI-Helper는 부적절한 답변을 할 수 있습니다.