Journal of Korean Library and Information Science Society (한국도서관정보학회지)

Korean Library and Information Science Society (한국도서관정보학회)
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Analysis of Overseas Research Trends Related to Artificial Intelligence (AI) in Elementary, Middle and High School Education

초·중·고 교육분야의 인공지능(AI) 관련 해외 연구동향 분석

  • 정영주 (공주대학교 문헌정보교육과, 은가람중학교) ;
  • 김혜진 (공주대학교 문헌정보교육과, 학교도서관연구소)
  • Received : 2021.08.26
  • Accepted : 2021.09.14
  • Published : 2021.09.30
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Abstract

This study aimed to analyze AI research trends related to elementary, middle, and high school education. To this end, the related literature was collected from the SCOPUS database and the publication period of the collected literature was from 1974 to March 2021, with 154 journal papers and 571 conference papers. Research trends were analyzed based on the co-occurrences analysis technique of 4,521 words of author keyword and index keyword included in these papers. As a result of the analysis, big data, data mining, data science and deep learning were found as the latest research trends with machine learning and there was a difference between elementary, middle and high school education. It can be seen that elementary school had a lot of robot-related research, middle school had a lot of game and data-related research, and high school had various and in-depth research. In discussion, we mapped the top 50 words common to elementary, middle, and high schools with the 'Artificial Intelligence Basics' curriculum of Korean Government and '5 Big Ideas' of the United States Government so that AI research can be viewed at a glance.

본 연구는 초·중·고 교육분야 인공지능과 관련된 해외 연구동향을 분석하기 위해 SCOPUS 데이터베이스를 대상으로 관련 문헌을 수집하였다. 수집된 문헌의 발행 기간은 1974년부터 2021년 3월까지이며, 학술지 논문이 154건, 컨퍼런스 논문은 571건으로 나타났다. 이들 논문에 포함된 저자 키워드 및 인덱스 키워드 4,521개의 단어들의 동시출현(co-occurrences) 분석기법을 바탕으로 연구 동향을 분석하였다. 분석결과 machine learning을 주축으로 big data, data mining, data science, deep learning이 최신 연구 동향으로 나타났고, 초·중·고등교육 간에는 차이가 있는 것으로 나타났다. 초등은 로봇 관련 연구가 많이 있었으며, 중등은 게임과 데이터 관련 연구가 많이 있었고, 고등은 다양하고 심도 있는 연구가 이루어졌음을 알 수 있었다. 마지막으로 결과분석에서 우리나라 교육부에서 2020년 9월 발표된 '인공지능 기초' 교육과정과 미국 AK4K12의 '5 Big Ideas'와 초·중·고 공통 상위 50단어와 매핑하여 우리나라 초·중·고 인공지능 교육에 시사점을 제시하였다.

Keywords

Acknowledgement

이 논문은 2019년 대한민국 교육부와 한국연구재단의 인문사회분야 신진연구자지원 사업의 지원을 받아 수행된 연구임(NRF-2019S1A5A8033713).

References

  1. Bae, Byeong-Hwan & Ahn, In-Hye (2018). Analysis of China's Artificial Intelligence Policy and its Implications. Information and Communication Opportunity Assessment Service. Available: https://www.itfind.or.kr/WZIN/jugidong/1836/file7037441854154225446-183602.pdf
  2. Han, Seon-Kwan (2020a). Artificial Intelligence and Education, What Should I Prepare? Education Policy Forum, Korea Educational Development Institute.
  3. Han, Seon-Kwan (2020b). Artificial Intelligence and Educational Frameworks. Artificial Intelligence Education Association.
  4. Hwang, SeoI & Kim, Mun-Ki (2019). An analysis of artificial intelligence (A.I.)_related studies' trends in Korea focused on topic modeling and semantic network analysis. Journal of Digital Contents Society, 20(9), 1847-1855. https://doi.org/10.9728/dcs.2019.20.9.1847
  5. Jeon, Bo-hee (2021). China's Artificial Intelligence Industry Trends and Implications. International Trade Institute. Available: http://iit.kita.net/newtri2/report/iitreporter_view.jsp?sNo=2219&sClassification=5
  6. Jeon, In-seong, Kim, Soo-hwan, & Song, Ki-sang (2021). Analysis of artificial intelligence education policy trends and educational institution's operation status in Korea. The Korean Association Of Computer Education, 25(1(A)), 99-103.
  7. Kim, Bo-Gyeom (2021, August 8). China overtakes the US in AI research. Edaily. Available: https://www.edaily.co.kr/news/read?newsId=01823686629145352&mediaCodeNo=257
  8. Kim, Hyung-Uk & Mun, Seong-Yun (2020). Exploring the educational use of artificial intelligence based on R mapping: focusing on foreign publication analysis results Journal of The Korean Association of Information Education, 24(4), 313-325. https://doi.org/10.14352/jkaie.2020.24.4.313
  9. Kim, Ji-Hyun (2020). A study on library service using artificial intelligence: focused on North American University Libraries. Journal of Korean Library and Information Science Society, 51(4), 231-247. https://doi.org/10.16981/KLISS.51.4.202012.231
  10. Kim, Kapsu (2019). An artificial intelligence education program development and application for elementary teachers. Journal of The Korean Association of Information Education, 23(6), 629-637. https://doi.org/10.14352/jkaie.2019.23.6.629
  11. Kim, Soohwan, Kim, Seonghun & Kim, Hyeoncheol (2019). Analysis of international educational trends and learning tools for artificial intelligence education. The Korean Association of Computer Education, 23(2), 25-28.
  12. Kim, Soohwan, Kim, Seonghun, Lee, Minjeong, & Kim, Hyeoncheol (2020). Review on artificial intelligence education for K-12 students and teachers. The Journal of Korean Association of Computer Education, 23(4), 1-11. https://doi.org/10.32431/KACE.2020.23.4.001
  13. Kim, Yongmin (2019). Artificial Intelligence (AI) Manpower Nurturing Policies and Implications by Major Countries. Korea Health Industry Promotion Agency.
  14. Korea Education and Research Information Service (2020). AI Education Starting with KERIS. Korea Education and Research Information Service.
  15. Kwak, Woojung & Noh, Younghee (2021). A study on the current state of the library's AI service and the service provision plan. Journal of Korean Library and Information Science Society, 52(1), 155-178. https://doi.org/10.16981/KLISS.52.1.202103.155
  16. Lee, Eunkyoung (2020). A comparative analysis of contents related to artificial intelligence in national and international K-12 curriculum. The Journal of Korean Association of Computer Education, 23(1), 37-44. https://doi.org/10.32431/KACE.2020.23.1.003
  17. Lee, Youngho (2021). Development and effectiveness analysis of artificial intelligence STEAM education program. Journal of The Korean Association of Information Education, 25(1), 71-79. https://doi.org/10.14352/jkaie.2021.25.1.71
  18. Ministry of Education (2015). 2015 Revised Curriculum Text and Commentary. High School (2020.9) Practical Course (Technology/Home)/Information Department. Available: http://www.ncic.go.kr/mobile.dwn.ogf.inventoryList.do
  19. Ministry of Education (2020, May 26). Science-Mathematics-Information-Convergence Education Comprehensive Plan. Available: https://www.korea.kr/news/pressReleaseView.do?newsId=156392196
  20. Ministry of Education (2020, November 20). Education Policy Direction and Core Tasks in the Age of Artificial Intelligence. Available: https://www.korea.kr/archive/expDocView.do?docId=39237.
  21. Ministry of Education (2020, September 11). Elementary and Secondary School Curriculum Notice (No. 2020-236). Available: http://www.ncic.go.kr/mobile.dwn.ogf.inventoryList.do
  22. Ministry of Science and ICT (2019). Artificial Intelligence (AI) National Strategy ; From an IT Powerhouse to an AI Powerhouse. Available: https://www.korea.kr/news/pressReleaseView.do?newsId=156366736
  23. Shim, Jaekwoun (2021). Analysis of research trends in elementary information education in Korea using topic modeling. Journal of The Korean Association of Information Education, 25(2), 347-354. https://doi.org/10.14352/jkaie.2021.25.2.347
  24. Software Policy & Research Institute (2019). Artificial Intelligence Strategy Trend in Japan: AI Strategy. 2019. Available: https://spri.kr/posts/view/22689?code=industry_trend.
  25. Baker, T. & Smith, L. (2019). Educ-AI-tion rebooted? Exploring the future of artificial intelligence in schools and colleges. Retrieved from Nesta Foundation. Available: https://media.nesta.org.uk/documents/Future_of_AI_and_education_v5_WEB.pdf.
  26. Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018). Artificial intelligence trends in education: a narrative overview. Procedia Computer Science, 136, 16-24. https://doi.org/10.1016/j.procs.2018.08.233
  27. China FUN AI. (2021, August 5) Available: http://www.fun-ai.org.cn/lms/index/
  28. Guan, C., Mou, J., & Jiang, Z. (2020). Artificial intelligence innovation in education: a twenty-year data-driven historical analysis. International Journal of Innovation Studies, 4, 134-147. https://doi.org/10.1016/j.ijis.2020.09.001
  29. Kuenzi, Jeffrey J. (2008). Science, technology, engineering, and mathematics (STEM) education: background, federal policy, and legislative action. Congressional Research Service Reports, 35.
  30. McCarthy, J. (2004). What is Artificial Intelligence? Computer Science Department Stanford University. Available: http://www-formal.stanford.edu/jmc/
  31. Nilsson, N. J. (1998). Artificial Intelligence: A New Synthesis. San Francisco: Morgan Kaufmann Publishers, Inc.
  32. Popenici, S., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12-22. https://doi.org/10.1186/s41039-016-0037-1
  33. Tuomi, I. (2018). The Impact of Artificial Intelligence on Learning, Teaching, and Education. Luxembourg: Publications Office of the European Union.
  34. UNESCO (2019). Artificial Intelligence in Education: Challenges and Opportunities for Sustainable Development. UNESCO Working Papers on Education Policy, no. 7.
  35. USA AI4All Open Learning (2021, August 5). Available: http://ai-4-all.org/open-learning
  36. USA AI4K12 (2021, August 5). Available: https://ai4k12.org/
  37. USA ReadyAI Lab (2021, August 5). Available: https://edu.readyai.org