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Exploring the Trends and Challenges of Artificial Intelligence Education through the Analysis of Newspapers in Korea, 1991-2020: A topic-modeling approach

  • Kim, Sung-ae (Department of Liberal Arts, Duksung Women's University)
  • Received : 2020.10.17
  • Accepted : 2020.12.03
  • Published : 2020.12.31

Abstract

Artificial intelligence (AI), an essential skill of the Fourth Industrial Revolution, is being actively taught in higher education; however, AI education is only in the preparatory stage in elementary, middle, and high schools. Investigating various newspaper articles related to AI education to date can aid in basic data collection, which is an important process in the preparatory stage. Accordingly, 13,378 newspaper articles were collected from a total of 21 newspapers, and five topics were extracted using the latent Dirichlet allocation (LDA)-based topic model along with frequency analysis. Newspaper articles from the early 2000s expanded to technologies related to the Fourth Industrial Revolution. Accordingly, education in AI fields should be linked with education in AI-based technology. In addition, efforts should be made to secure the continuity and sequence of AI education in cooperation with related higher institutions and companies.

Keywords

References

  1. Ministry of Education, 2020 Ministry of Education work report, Ministry of Education, Sejong, 2020.
  2. B. J. Grosz, "Collaborative Systems (AAAI-94 Presidential Address). AI Magazine, vol. 17, no. 2, p. 67, DOI: http://doi.org/10.1609/aimag.v17i2.1223.
  3. S. Lee, "Artificial intelligence as the liberal arts of computer science," ACM SIGART Bulletin, vol. 6, no. 2, pp. 8-10, 1995. DOI: 10.1145/201977.201981.
  4. D. Wong, R. Zink, and S. Koenjg, "Teaching artificial intelligence and robotics via games," in The Twenty-Fourth AAAI Conference on Artificial Intelligence, Atlanta, 2010, [Online] Available: https://www.researchgate.net/profile/Daniel_Wong31/publication/228986664_Teaching_Artificial_Intelligence_and_Robotics_Via_G ames_Abstract/links/56272fad08aeabddac936b67.pdf.
  5. V. A. Cicirello, "An Interdisciplinary course on artificial intelligence designed for a liberal arts curriculum," Journal of Computing Sciences in Colleges, vol. 23, pp. 120-127, 2008, [Online] Available: https://www.cicirello.org/publications/p120-cicirello.pdf.
  6. M. Resnick, Amy Bruckman, and F. Martin, "Pianos not stereos: Creating computational construction kits," Interactions, vol. 3, no. 5, pp. 40-50, 1996. DOI: 10.1145/234757.234762.
  7. D. Touretzky, C. Gardner-McCune, F. Martin, and D. Seehorn, "Envisioning AI for K-12: What should every child know about AI?," in The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI19), Hawaii, 2019. DOI: https://doi.org/10.1609/aaai.v33i01.33019795.
  8. H. You, "China's AI ambition... 'I teach from elementary, middle and high school.'" Zdnet Korea Websites, 1 Sep 2017, [Online] Available: https://zdnet.co.kr/view/?no=20170901105106&re=R_20191108091606.
  9. M. Park, "AI for K-12 initiative in collaboration with the Computer Science Teachers Association (CSTA) and AI4All," in The AAAI-18 Conference, Louisina, 2018, [Online] Available: https://aaai.org/Pressroom/Releases/release-18-0515.php.
  10. ISTE, "Artificial intelligence goes to school," in International Society for Technology in Education (ISTE) 2018, Chicago, 2018, [Online] Available: https://conference.iste.org/2018/program/search/detail_session.php?id=110888525.
  11. B. Spice, "Five big ideas in AI featured. In NSF video showcase," Carnegie Mellon University School of Computer Science, May. 2020, [Online] Available: https://www.scs.cmu.edu/news/five-bigideas-ai-featured-nsf-video-showcase.
  12. D. Touretzky, F. Martin, D. Seehorn, and C. Breazeal, "Special session: AI for K-12 guidelines initiative," in The 50th ACM Technical Symposium on Computer Science Education, New York, 2019. DOI: 10.1145/3287324.3287525.
  13. T. Kim, M. Ryu, and S. Han, "Framework research for AI education for elementary and middle school students," Korean Association of Artificial Intelligence Education Transactions, vol. 1, no. 4, pp. 31-42, 2020, [Online] Available: http://www.aied.or.kr/html/web/papersearch_view.html?no=7.
  14. D. M. Blei, "Probabilistic topic models," Communications of the ACM, vol. 55, no. 4, pp. 77-84, 2012. DOI: 10.1145/2133806.2133826.