DOI QR코드

DOI QR Code

Survey of Recent Research in Education based on Artificial Intelligence

AI 기반 교육 현황과 기술 동향

  • Published : 2021.02.01

Abstract

Artificial intelligence (AI) will have a huge impact on future education. We look at the role of AI in education and changes in schools. Personalized education is being attempted in limited services, and an interactive tutor service with speech recognition/dialog technology is being developed. In the future, we look forward to fully personalized education for individual students through AI teachers. Teachers are expected to make more effort to teach creative thinking, critical thinking, communication, and collaboration. As the speed of development of AI technology accelerates, we expect that AI-based education will be deeply established around us in the near future. We first introduce the details of the personalization technology and then discuss the AI-based foreign language speaking education research conducted by ETRI.

Keywords

References

  1. EBS 다큐프라임 "4차산업혁명시대 교육대혁명-1부. AI와 인간의 공존은 가능한가," 2017.
  2. wire19.com, "9 ways Artificial Intelligence (AI) is impacting education," 2020. 9. 17.
  3. KAKAO AI REPORT vol. 13.
  4. https://www.cc.gatech.edu/holiday/jill-watson
  5. https://www.carnegielearning.com
  6. 권영선외,"인공지능과함께하는미래교육,"KERIS이슈리포트,2018.
  7. https://www.ets.org/accelerate/ai-portfolio/speechrater
  8. Holon IQ, "Smart estimatesTM January 2019," 2019. 2.
  9. 정보통신산업진흥원, "2019년 이러닝산업 실태조사," 2020.
  10. 이은호, 제주창조경제혁신센터 J-Connect, vol 12, 2019, pp. 8-11.
  11. 조선비즈,"AI가사람을가르친다"...'에듀테크'시장급성장,2019. 12.8.
  12. J.H. Errico et al., "Collaborative recommendation system," U.S. Patent No 8,949,899, 2015.
  13. S. Zhang et al., "Deep learning based recommender system: A survey and new perspectives." ACM Computing Surveys, vol. 52 no. 1 2019, pp. 1-38.
  14. A. Mnih, R.R. Salakhutdinov, and R. Russ, "Probabilistic matrix factorization," in Proc. Advances in Neural Inform. Process. Syst. 2008, pp. 1257-1264.
  15. H.E. Xiangnan et al., "Neural collaborative filtering," in Proc. Int. Conf. world wide web. 2017, pp. 173-182.
  16. ULLAH, Farhan et al., "Deep edu: A dep neural collaborative filtering for educational services recommendation," IEEE Access, 2020, pp. 110915-110928. https://doi.org/10.1109/access.2020.3002544
  17. S. Morsy and G. Karypis, "Will this course increase or decrease your GPA? Towards grade-aware course recommendation." JEDM J. Educ. Data Min. vol. 11 no. 2, 2019, pp. 20-46.
  18. Y. Goldberg and O. Levy, "Word2vec explained: Deriving mikolov et al.'s negative-sampling word-embedding method," arXiv preprint, CoRR, 2014, arXiv:1402.3722, 2014.
  19. 김인석 외,"4차 산업혁명과 인공지능 영어교육," 한국문화사, 2019.
  20. 강병옥 외, "원어민 및 외국인 화자의 음성인식을 위한 심층신경망 기반 음향모델링," 말소리와 음성과학, 제9권 제2호, 2017.
  21. 이윤근 외, "준지도학습형 언어지능 원천기술 및 이에 기반한 외국인 지원용 한국어 튜터링 서비스 개발," 2연차 보고서, 2020. 12.
  22. Y.R. Oh et al., "Automatic proficiency assessment of Korean speech read aloud by non-natives using bidirectional LSTM-based speech recognition," ETRI J. vol. 42 no. 5, 2020.
  23. S.K. Choi et al., "Computer assisted english learning system based on free conversation by topic," Oriental COCOSDA, 2017.