텍스트 마이닝을 통한 일반계 고등학교 영어교과 세부능력 및 특기사항 기재 실태 분석
Text mining on English subject-specific descriptions of tenth-graders in general high schools
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
The purpose of this study was to analyze English subject-specific descriptions through text mining, examine their alignment to the curriculum achievement standards, and ultimately support students’ educational growth. We collected English subject-specific descriptions for 1,030 tenth-graders from general high schools in City A, and keywords and contexts were extracted using TF, TF-IDF, phi coefficient analysis, and trigram analysis. The results revealed that the subject-specific descriptions frequently neglected the following aspects of learning and instruction in curriculum achievement standards: familiar and general themes, conversation and listening skills, language use across different types of information, and proper email writing. Although descriptions are intended to reflect students’ actual achievement levels, those for lower achievement levels (i.e., D and E) were often overstated. Improvements are necessary to ensure closer alignment between the descriptions and the curriculum achievement standards, with particular emphasis on the accurate representation of lower achievement levels. Based on the findings, we discussed potential improvement strategies for educational authorities to consider and implement.
Abstract
The purpose of this study was to analyze English subject-specific descriptions through text mining, examine their alignment to the curriculum achievement standards, and ultimately support students’ educational growth. We collected English subject-specific descriptions for 1,030 tenth-graders from general high schools in City A, and keywords and contexts were extracted using TF, TF-IDF, phi coefficient analysis, and trigram analysis. The results revealed that the subject-specific descriptions frequently neglected the following aspects of learning and instruction in curriculum achievement standards: familiar and general themes, conversation and listening skills, language use across different types of information, and proper email writing. Although descriptions are intended to reflect students’ actual achievement levels, those for lower achievement levels (i.e., D and E) were often overstated. Improvements are necessary to ensure closer alignment between the descriptions and the curriculum achievement standards, with particular emphasis on the accurate representation of lower achievement levels. Based on the findings, we discussed potential improvement strategies for educational authorities to consider and implement.
참고문헌 (26)
- Choe, H. J., "Frequency analysis of core concepts of high school informatics subject textbooks using text mining", Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, 9(11), pp.419~429 (2019)
- Choi, J. S., "A study on gifted education policies using text mining analysis : Focused on the master plan for the promotion of gifted and talented education and the master plan for identifying and nurturing of science gifted students", Journal of Gifted, 2022, pp.32(2), 207~228
- Chun, H. J., "A network analysis on risk-related environmental education articles : Focus on global risk and natural disaster risk", Korean Journal of Environmental Education, 35(4), pp.281~300 (2022)
- Downe-Wamboldt, B., "Content analysis : Method, applications, and issues", Health Care for Women International, 13(1), pp.313~321 (1992)
- Han, M. K., "Text-mining analysis of labor-rights education in vocational high schools : Focused on ‘successful career life’ and ‘integrated social studies’ textbooks", Social Studies Education, 59(4), pp.63~81 (2020)
- Heo, H. J., "A study on reinforcing of subject description as a result of English records", English Teaching, 78(3), pp.147~176 (2023)
- Jeong, O. J., "Keyword analysis of environmental education papers using text mining", Paper presented at the 2019 Conference of the Korean Society for Environmental Education Conference (2019)
- Jin, S. H., "A trend analysis of educational research applying text mining", Korean Journal of Educational Research, 60(4), pp.267~297 (2022)
- Kim, B. J., "A study on the characteristics of the use of moral and ethical terms in Korean society through big data analysis", Journal of Moral & Ethics Education, 58, pp.27~58 (2018)
- Kim, M. N., "Analysis of parental perceptions on early symptoms of children with autism spectrum using text mining", Journal of the Korean Association for Persons with Autism, 21(2), pp.1~24 (2021)
- Kim, S. S., "Behavioral characteristics and comprehensive opinion text mining in the school life record of college of education applicants : Comparative analysis by semantic network analysis and admission types", Journal of Education Evaluation, 34(4), pp.817~850 (2021)
- Kim, S. W., "Theory and practice of educational evaluation" (2022), Hakjisa
- Kim, Y. W., "Do it! Learning R text mining easily" (2021), Easyspublishing
- Lee, C. S., "N-gram analysis of phrasal differences between translational and orignal Korean news texts", Interpreting and Traslation Studies, 15, pp.317~340 (2011)
- Lee, H. B., "Growth-focused evaluation designed with backward and completed with feedback" (2023), Sallimter
- Lee, K. J., "A text mining analysis of Leonardo da Vinci’s notes : Focusing on implications for university convergence education", The journal of Educational Studies, 54(3), pp.75~100 (2023)
- Lee, S. A., "An analysis on Seoul innovative school using fourdimensional education policy framework", The Korean Educational Administration Society, 40(5), pp.157~193 (2022)
- Ministry of Education, "Helpful materials describing subject-specific description : English" (2023), Ministry of Education
- Oh, K. S., "Critical review of the reporting of reading subject assessment results-Focused on reporting subject remarks of academic record", Korean Language Education Research, 175, pp.111~157 (2021)
- Park, C. H., "Text mining analysis on the usage of terms related to the legalization of national mental health promotion services : Focusing on the keywords ‘psychological counseling’, ‘psychological service’, and psychologist’", Korea Journal of Counseling, 23(5), pp.1~19 (2022)
- Park, D. S., "Educational evaluation" (2008), Kyoyookbook
- Seong, T. J., "Modern educational evaluation" (2014), Hakjisa
- Silge, J., "Text mining with R. Sebastopol" (2017), O’Reilly Media
- Sohn, M. S., "A study on consumer perception changes of online education before and after COVID-19 using text mining", Journal of Digital Convergence, 19(1), pp.29~43 (2021)
- Yoo, I. H., "The strengths of at-risk elementary school learners as recognized by their teachers : A semantic network analysis", The Korean Journal of Educational Psychology, 37(1), pp.55~70 (2023)
- Yoo, J. E., "Educational evaluation" (2020), Hakjisa
