DOI QR코드

DOI QR Code

A Study on AI basic statistics Education for Non-majors

비전공자를 위한 AI기초통계 교육의 고찰

  • Yoo, Jin-Ah (College of AI and Liberal Arts, Honam University)
  • 유진아 (호남대학교, AI교양대학)
  • Received : 2021.12.02
  • Accepted : 2021.12.29
  • Published : 2021.12.31

Abstract

We live in the age of artificial intelligence, and big data and artificial intelligence education are no longer just for majors, but are required to be able to handle non-majors as well. Software and artificial intelligence education for non-majors is not just a general education, it creates talents who can understand and utilize them, and the quality of education is increasingly important. Through such education, we can nurture creative talents who can create and use new values by fusion with various fields of computing technology. Since 2015, many universities have been implementing software-oriented colleges and AI-oriented colleges to foster software-oriented human resources. However, it is not easy to provide AI basic statistics education of big data analysis deception to non-majors. Therefore, we would like to present a big data education model for non-majors in big data analysis so that big data analysis can be directly applied.

Keywords

References

  1. Ministry of Science and ICT (2020). Davos 2020: http://now.k2base.re.kr/portal/trend/mainTrend/list.do?menuNo=200004
  2. 오경선, 김현정(2020) 빅데이터 기반의 AI기초교양교육이 학부생의 정의적 태도에 미치는 영향, 정보교육학회논문지 24(5): 463-471. https://doi.org/10.14352/jkaie.2020.24.5.463
  3. 이정미, 강의선(2021) 비전공자를 위한 인공지능기초 교양 교육 프로그램 개발, 디지털콘텐츠학회논문지 22(9): 1431-1440.
  4. Ji, Y. M., Yoo, J. J. & Lee, S. H. (2017). Internet of Things, Big-data and Artificial Intelligence. The Journal of the Korean Institute of Information Scientists and Engineer, 35(7), 43-50.
  5. 설현수, 2021, jamovi 통계프로그램의 이해와 활용 2판. 학지사.
  6. Rajaraman, Anand, & Jeffrey David Ullman (2011). Mining of massive datasets. Cambridge University Press.
  7. Kyoo-Sung Noh, Seong Taek Park, & Kyung-Hye Park (2015). Convergence Study on Big Data Competency Reference Model, Journal of Digital Convergence, 13(3), 55-64. https://doi.org/10.14400/JDC.2015.13.3.55
  8. Ji Hei Kang (2016). Study on the current status of Data Science curriculum in Library and Information Science and its direction, Journal of Korean Library and Information Science Society 47(3), 343-363. https://doi.org/10.16981/KLISS.47.3.201609.343
  9. Wooje Cho (2018). Creating Value for Education through Big Data Analysis Education Programs, The Korean Journal of Bigdata 3(2), 123-130. https://doi.org/10.36498/kbigdt.2018.3.2.123
  10. SeungHwa Jung, & Jaewoo Do (2019). Case Study on Operation of Big Data Educational Program, Journal of Education & Culture (JOEC), 25(5), 621-640. https://doi.org/10.24159/joec.2019.25.1.621
  11. Jenkins, T. (2002, August). On the difficulty of learning to program. Proceedings of the 3rd Annual Conference of the LTSN Centre for Information and Computer Sciences (pp. 53-58).
  12. 나정은 (2017). 교양교육으로서의 소프트웨어 교육니즈 분석. 교양교육연구, 11(3), 74 63-89.