DOI QR코드

DOI QR Code

Institutional Perspectives on Personalized Education: A Topic Modeling Analysis of Korean News Media

  • Ga-young YUN (Sungshin Women's University) ;
  • Jurang SHIN (Korea Automotive Technology Institute)
  • 투고 : 2024.08.30
  • 심사 : 2024.10.21
  • 발행 : 2024.10.30

초록

This study aims to examine trends in personalized education in South Korea by analyzing major keywords from big news data using topic modeling techniques. To achieve this objective, we analyzed 19,874 news articles published in South Korea between January 2018 and October 2023. The keywords were categorized into three distinct time periods: January 2018 to December 2019 (Period 1), January 2020 to December 2021 (Period 2), and January 2022 to October 2023 (Period 3). The results reveal distinct keyword trends across the three periods. In Period 1, keywords such as "university," "junior college," "Seoul," and "Samsung Electronics" were prominent. In Period 2, "Corona," "Seoul," and "AI" emerged as significant terms. In Period 3, "government," "AI," "region," "students," and "youth" were identified. These findings indicate a focus on personalized education and competency development at various levels, including local, national, and institutional (universities and colleges). We can confirm the increasing prevalence of personalized education in response to the growing demand for digital and AI technologies, with numerous colleges nationwide promoting these initiatives at a national level. Additionally, the application of personalized education was observed as a measure to support underachieving students, addressing issues such as educational gaps and foundational education. This suggests a blend of both universal and specific approaches to personalized education. Based on these findings, the study recommends that to properly progress this idea, an elaborate theoretical framework that creates a balance between the pedagogical objective of satisfying the requirements of particular learners and adaptive learning technology would be needed.

키워드

참고문헌

  1. Arun, R., Suresh, V., Veni Madhavan, C. E., Narasimha Murthy, M. N. (2010). On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations. In: Zaki, M. J., Yu, J. X., Ravindran, B., Pudi, V. (Eds.), Advances in Knowledge Discovery and Data Mining. PAKDD 2010. Lecture Notes in Computer Science, (Vol. 6118, pp. 391-402). Springer. https://doi.org/10.1007/978-3-642-13657-3_43
  2. Atikah, S., & Jonathan, M. S. (2020). A systematic literature review of personalized learning terms. Smart Learning Environments, 7(1), 33. https://doi.org/10.1186/s40561-020-00140-9
  3. Bae, J. (2023). A study on the aspects and emergence characteristics of elementary learned readers' literature response: Using latent dirichlet allocation analysis. Doctoral thesis. Korea National University of Education.
  4. Bae, S. (2021, December 23). Non-face-to-face learning platform "On-school" achieves great results... Tailored to follow your dreams and aptitude Education. Segye Ilbo. https://www.segye.com/newsView/20211222513141
  5. Basham, J. D., Hall, T. E., Carter, R. A., & Stahl, W. M. (2016). An Operationalized Understanding of Personalized Learning. Journal of Special Education Technology, 31(3), 126-136. https://doi.org/10.1177/0162643416660835
  6. Bayly-Castaneda, K., Ramirez-Montoya, M. S. & Morita-Alexander, A. (2024). Crafting personalized learning paths with AI for lifelong learning: a systematic literature review. Frontiers in Education, 9, 1424386. https://doi.org/10.3389/feduc.2024.1424386
  7. BIG KINDS. (2023). Analysis of Customized Education Relationship Diagram. Retrieved from https://www.bigkinds.or.kr/v2/news/search.do;Bigkinds=5E6052BE25984732E93B53787B882D26 on October 17, 2023.
  8. Blei, D., Ng, A., & Jordan, M. (2003). Latent Dirichlet allocation. Journal of Machine Learning Research, 3, 993-1022. https://doi.org/10.7766/orbit.v1.2.44
  9. Cao, J., Xia, T., Li, J., Zhang, Y., & Tang, S. (2009). A density-based method for adaptive LDA model selection. Neurocomputing, 72(7-9), 1775-1781. https://doi.org/10.1016/j.neucom.2008.06.011
  10. Cho, J. (2021, October 28). "Personalized matching for education and employment"... Differentiating youth policy. Munhwa Ilbo. https://www.munhwa.com/news/view.html?no=2021102801070527328001
  11. Choi, S. (2005). An analysis of newspaper articles an early childhood education. Early Childhood Education Research & Review, 9(1), 179-199.
  12. Choi, S., & Park, H. W. (2020). A study on the trend of topic modeling in South Korea using KCI journal publications. Journal of The Korean Data Analysis Society, 22(2), 815-826.
  13. Choi, Y. I., Hong, S. J., & Park, J. H. (2019). A study on the development of a program for data-based differentiated instructional design for the Korean language trainee teachers. Journal of Teacher Education Research, 58(2), 221-236. http://dx.doi.org/10.15812/ter.58.2.201906.221
  14. Deveaud, R., SanJuan, E., & Bellot, P. (2014). Accurate and effective latent concept modeling for ad hoc information retrieval. Document Numerique, 17, 61-84. https://doi.org/10.3166/dn.17.1.61-84
  15. Dick, W., Carey, L., & Carey, J. O. (2015). The systematic design of instruction (8th ed.). Pearson.
  16. DiMaggio, P., Nag, M., & Blei, D. (2013). Exploiting affinities between topic modeling and the sociological perspective on culture: Application to newspaper coverage of US government arts funding. Poetics, 41(6), 570-606. https://doi.org/10.1016/j.poetic.2013.08.004
  17. Do, J., Eur, J., Na, Y. J., & Kim, S. (2022). A study of teachers' use and perception of learning analytics based dashboard for customized education. The Journal of Korean Teacher Education, 39(4), 261-289. http://dx.doi.org/10.24211/tjkte.2022.39.4.261
  18. Gong, S. B. (2021, December 29). Incheon City operates "Youth Personalized Financial Planning Program." Dong-A Ilbo. https://www.donga.com/news/Society/article/all/20211228/110992181/1
  19. Government Ministries Joint Committee. (2022, August 22). Comprehensive plan for nurturing digital talent.
  20. Griffiths, T. L., & Steyvers, M. (2004). Finding scientific topics. Proceedings of the National Academy of Sciences, 101(1), 5228-5235. https://doi.org/10.1073/pnas.0307752101
  21. Hughey, J. (2020). Individual personalized learning. Educational Considerations, 46(2), https://doi.org/10.4148/0146-9282.2237
  22. Hwang, M. K. (2019, December 8). "AI teaches people" EduTech market grows rapidly. Chosun Ilbo. https://biz.chosun.com/site/data/html_dir/2019/12/07/2019120701294.html
  23. Jeong, J. R. (2019, October 26). Ulsan innovative education in full swing "Creating a school you want to go to." Donga Ilbo. https://www.donga.com/news/Society/article/all/20181025/92592721/1
  24. Joo, J. H. (2023). The real and issues of individually adaptive artificial intelligence education. Educational Criticism, -(52), 23-63. http://dx.doi.org/10.23119/er.2023..52.23
  25. Jung, H. Y., & Hong, H. J. (2021). An analysis on customized education research trends in the era of the 4th Industrial Revolution through text mining. Research on Educational Methods, 33(30), 433-454.
  26. Jung, Y., & Kim, H. (2020). A study on the school library research trends using topic modeling. Journal of Korean Library and Information Science Society, 51(3), 103-121. https://doi.org/10.16981/kliss.51.3.202009.103
  27. Kang, J., & Lee, H. (2020). Research trends in managerial coaching leadership in Korea using topic modeling and keyword network analysis. Andragogy Today: Interdisciplinary Journal of Adult & Continuing Education, 23(4), 181-210. https://doi.org/10.22955/ace.23.4.202011.181
  28. Kang, M. J., & Baek, P. G. (2022). Analysis of research trends in tax compliance using topic modeling. Journal of the Korean Society of Contents, 22(1), 99-115. https://doi.org/10.5392/JKCA.2022.22.01.099
  29. Kim, D. (2019, December 3). Daegu Metropolitan Office of Education promotes expansion of basic academic ability improvement project next year. Segye Ilbo. https://m.segye.com/view/20191202513300
  30. Kim, H. (2020, November 10). "Add friends on KakaoTalk like this" Personalized digital education robot Rico is popular. Seoul Newspaper. https://go.seoul.co.kr/news/newsView.php?id=20201111014005
  31. Kim, J. (2023, September 20). KT Daegu Gyeongbuk Headquarters, personalized coding education for students with disabilities. Hankook Ilbo. https://m.hankookilbo.com/News/Read/A2023092014290001678
  32. Kim, K. (2021, November 23). Personalized education that reflects student characteristics... Establishment of distance education operation standards. Seoul Newspaper. https://www.seoul.co.kr/news/society/educationnews/2021/11/23/20211123500060
  33. Kim, M., Yoon, G., & Park, J. (2020). An Exploratory Research on Learning Competency based Personalized Learning in K University. Journal of Practical Engineering Education, 12(1), 49-60. http://dx.doi.org/10.14702/JPEE.2020.049
  34. Kim, N. (2023, September 26). Now, even students with immigrant backgrounds are Korean talent... government prepares various support measures. Kyunghyang Shinmun. https://www.khan.co.kr/national/education/article/202309261400001
  35. Kim, T. (2019, April 30). SBA, "Customized technical talent training program based on corporate demand" Recruitment of operating institutions. Seoul Newspaper. https://www.seoul.co.kr/news/newsView.php?id=20190430500021
  36. Kim, Y. (2023, September 14). Innovation in local education... Inducing employment and settlement of excellent talent. Segye Ilbo. https://www.segye.com/newsView/20230914515881
  37. Mun, B. (2019, September 6). South Korean government to introduce AI-based personalized learning service to public education. Korea IT News. https://english.etnews.com/20190906200002
  38. Kyunghyang Newspaper. (2019, December 2). Winners selected for the 14th Kyunghyang Financial Education Awards. Kyunghyang Newspaper. https://www.khan.co.kr/opinion/notice/article/201912022135035
  39. Lee, D. (2021, December 15). "High-Touch High-Tech" education opens the future standing tall as a regional innovative university. Hankook Ilbo. https://www.hankookilbo.com/News/Read/A2021120614500000711
  40. Lee, D. R. (2019, December 12). Nurturing globally customized talent through university specialization and educational innovation. Hankook Ilbo. https://www.hankookilbo.com/News/Read/201912121023091805
  41. Lee, H. (2022, January 13). "Let's prevent COVID-19 learning and emotion deficit"... Ministry of Education, provincial and provincial offices of education, investing KRW 9.4 trillion this year. Kyunghyang newspaper. https://www.khan.co.kr/national/education/article/20220113150200
  42. Lee, H. G., Cho, Y. H., &Keum, S. Y. (2022). Elementary school teachers' perceptions on personalized instructional design using learner data. Journal of Educational Technology, 38(1), 37-67.
  43. Lee, H. J. (2021, October 24). 7,200 students from "Teacher Lon g Legs" program at middle and high schools in Seoul, learning about COVID-19 through personalized learning support close mentoring for emotionally deficient student. Kyunghyang newspaper. https://www.khan.co.kr/national/education/article/202110241022001
  44. Lee, Y. J. (2021, June 2). Within a year of Corona, the number of middle school and high school students doubled...government "Serious learning deficit." Hankook Ilbo. https://m.hankookilbo.com/News/Read/A2021060118240000883?did=NA
  45. Lim, J. (2021, September 2). Incheon University, Incheon Metropolitan Office of Education and local high school credit system Education Cooperation Agreement. University Journal. https://m.dhnews.co.kr/news/view/179523681352523
  46. Lim, M. S. (2019, October 28). [My Neighborhood Luxury Administration] Let's play together with children, natives and immigrants Barriers have disappeared. Hankook Ilbo. https://www.hankookilbo.com/News/Read/201910271482344730
  47. Lim, Y. S. (2023). Issue analysis using topic modeling: Focusing on hatred articles in national daily newspapers. Journal of the Korean Data Analysis Society, 25(1), 431-443. https://doi.org/10.37727/jkdas.2022.25.1.431
  48. Ministry of Education. (2020). First Implementation of Online Opening for the New School Year for Elementary, Middle, High, and Special Education Schools.
  49. Ministry of Education. (2021). Key points of the 2022 revised national curriculum (draft).
  50. Ministry of Education. (2023). Digital-based education innovation plan.
  51. Ministry of Education. (2024). Support plan for strengthening digital-based education innovation capabilities.
  52. Myeong, J. W. (2023, September 13). Gyeonggi-do Office of Education, pilot introduction of 'AI platform' to help school classes... "Expansion across the board next year" Seoul Newspaper. https://www.seoul.co.kr/news/society/education-news/2023/09/13/20230913500111
  53. Na, S., Kim, J., Ahn, J., & Jung, M. (2016). Trend analysis using topic modeling for simulation studies. Journal of The Korea Society for Simulation, 25(3), 107-116.
  54. Nahm, C. (2016). An illustrative application of topic modeling method to a farmer's diary. Cross-Cultural Studies, 22(1), 89-135.
  55. Park, G. (2021, January 5). Hee-yeon Jo, "Improved basic academic skills after being a cooperative teacher in elementary and middle school." Segye Ilbo. https://www.segye.com/newsView/20210105514785
  56. Park, H. S. (2021, October 15). Our children's medical foundation starts "Medical Edutech" for children and adolescents. Kyunghyang Newspaper. https://www.khan.co.kr/national/health-welfare/article/202110151525001
  57. Park, I. W. (2015). A conceptual analysis on teaching and instruction, instructional theory, and instructional design theory. Journal of Educational Technology, 31(3), 633-653.
  58. Park, J. G. (2023, March 22). Identify student knowledge level with AI and provide personalized content... 2025 "Mathematics, English, and Information" introduced first. Munhwa Ilbo. https://www.munhwa.com/news/view.html?no=2023032201032021022001
  59. Park, J. H. (2023, October 12). Gangnam, leading the future 4th industry... Leading the way in nurturing youth digital talent. Seoul Newspaper. https://go.seoul.co.kr/news/newsView.php?id=20231012012005
  60. Park, J. M. (2019, December 18). Youth employment through customized employment and start-up know-how Breaking through. Dong-A Ilbo. https://www.donga.com/news/Society/article/all/20191218/98849549/1
  61. Park, S. (2021, July 30). After neglecting the gap in academic achievement for 4 years... belatedly "school tutoring." Chosun Ilbo. https://www.chosun.com/national/education/2021/07/30/KXCYTP7WKBCKTGV3VN2RQSOIRQ/
  62. Seo, J. Y., & Shin, S. H. (2023). Exploring the effectiveness of major-friendly sw basic education. Journal of the Korea Digital Contents Society, 24(3), 541-549. https://doi.org/10.9728/dcs.2023.24.3.541
  63. Shemshack, A., & Spector, J. M. (2021). A comprehensive analysis of personalized learning components. Journal of Computers in Education, 8(4), 485-503. https://doi.org/10.1007/s40692-021-00188-7
  64. Shin, C. H. (2019). Neo Education. Parkyoungstory
  65. Shin, J. (2019, April 22). Yeongjin University breaks through barriers to employment through national technology project. Korea University Newspaper. https://news.unn.net/news/articleView.html?idxno=211023
  66. Sohn, S., Hwang, H., & Jang, Y. (2011). An analysis of Korean media's education reporting and news values. Media & Education, 1(1), 115-145.
  67. Sung, J. H. (2023). Analysis of functions and applications of intelligent tutoring system for personalized adaptive learning in mathematics. Mathematics Education, 62(3), 303-326.
  68. Tang, Y., & Wang, W. (2018). A Literature Review of Personalized Learning Algorithm. Open Journal of Social Sciences, 6, 119-127. https://doi.org/10.4236/jss.2018.61009
  69. The JungAng (2018, February 13). Creating a happy world together, nurturing future talent and taking the lead in resolving social issues. The JungAng. https://www.joongang.co.kr/article/22367458
  70. Wallace, B. (2012), Multiple Narrative Disentanglement: Unraveling Infinite Jest. In Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 1-10. https://aclanthology.org/N12-1001
  71. Yang, J. Y., & Koo, J. H. (2021). A topic analysis of college education using big data of news articles. Digital Convergence Research, 19(12), 11-20. https://doi.org/10.14400/JDC.2021.19.12.011
  72. Yeom, J., & Park, I. (2024). An analysis of AI-based personalized education activity system of elementary leading teachers based on activity theory. Journal of Korean Association for Educational Information and Media, 30(4), 1235-1260. http://dx.doi.org/10.24211/tjkte.2022.39.4.261
  73. Yoon, S., & Yoon, D. K. (2017). A trends analysis on disaster and safety management using topic modeling. Journal of Korean Society for Geospatial Information Science, 25(3), 75-85.
  74. Yun, W. (2021, December 21). CJ Freshway fosters food service experts. Establishment of a customized education system. Dong-A Ilbo. https://www.donga.com/news/Economy/article/all/20211221/110893832/1
  75. Zhang, X., Sun, J., and Deng, Y. (2023). Design and application of intelligent classroom for English language and literature based on artificial intelligence technology. Applied Artificial Intelligence, 37(1). https://doi.org/10.1080/08839514.2023.2216051
  76. Zhao, W., Chen, J. J., Perkins, R., Liu, Z., Ge, W., Ding, Y., & Zou, W. (2015). A heuristic approach to determine an appropriate number of topics in topic. Proceedings of the 12th Annual MCBIOS Conference. https://doi.org/10.1186/1471-2105-16-S13-S8