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빅데이터 기반의 AI기초교양교육이 학부생의 정의적 태도에 미치는 영향

An Analysis of the Influence big data analysis-based AI education on Affective Attitude towards Artificial Intelligence

  • 오경선 (건국대학교 상허교양대학) ;
  • 김현정 (건국대학교 상허교양대학)
  • 투고 : 2020.09.12
  • 심사 : 2020.09.28
  • 발행 : 2020.10.31

초록

4차 산업혁명시대는 인공지능(AI), 가상현실(VR), 빅데이터(BigData)와 같은 첨단 기술을 통해 사회전반에 걸쳐 총체적 변화가 나타난다. 이를 반영하듯 많은 나라들이 기술혁명시대에 우위를 선점하기 위해 AI 인재양성에 힘을 기울이고 있다. 우리나라도 AI인재양성 전략을 내놓고는 있지만 학부생에게는 AI 교육에 대한 접근이 쉽지는 않다. 이러한 현실에서 본 논문은 학부생이 쉽게 접근할 수 있는 빅데이터 분석 기반 AI 교육을 실시하여 AI교육에 대한 학부생의 정의적 태도 변화를 살펴보았다. 이를 위해 5주간(총 15시간)동안 데이터 분석 기반 AI 교육이 학부생들의 수준에 제공되었다. 그리고 단일 그룹의 사전-사후 검사를 통해 AI 교육에 대한 학부생들의 태도를 분석하였다. 분석 결과 AI 교육에 대한 자신감과 자기주도성이 향상되는 유의미한 결과를 얻었다. 이 연구의 결과를 토대로 현장에서 자기주도성과 자신감을 향상시킬 수 있는 AI기초교육개발에 대한 연구가 활발히 이루어지길 기대한다.

Humanity faces the fourth industrial revolution, a time of technological revolution by the collaboration of various industries including the fields of artificial intelligence(AI) and big data. Many countries are focused on fostering AI talent to prevail in the coming technological revolution. While Korea also provides some strategies to enhance the cultivation of AI talent, it is still difficult for Korean undergraduate students to get involved in AI studies. Through on the implementation of 'Big data analysis based AI education', which allows an easier approach to AI education, this paper examined the changes in the attitudes of undergraduate students regarding general AI education. 'Big data analysis based AI education' was provided at undergraduate level for 5.5 weeks (15 hours). The attitudes of undergraduate students were analyzed by pre-postmortem. The results showed there was a significant improvement in confidence and self-directed in regard to receiving AI education. With these results, further active research to develop basic AI education that also increases confidence and self-initiative can be expected.

키워드

참고문헌

  1. Ministry of Science and ICT(2020). Davos 2020: https://now.k2base.re.kr/portal/trend/mainTrend/view.do?poliTrndId=TRND0000000000038394&menuNo=200004&searchSubj=07&pageUnit=10&pageIndex=1
  2. Usnews (2018). In Available : https://www.usnews.com/best-graduate-schools/top-science-schools/artificial-intelligence-rankings
  3. IITP (2019). ICT SPOT ISSUE, 2019(23)
  4. 総合科学技術.イノベーション会議 (2018). 人工知能技術戦略実行計画の策定について
  5. Ministry of Science and ICT(2020). AI National Strategy: https://www.msit.go.kr/web/msipContents/contentsView.do?cateId=_policycom2&artId=2405727
  6. Ministry of Science and ICT(2019). available in : https://ezon.iitp.kr/cmon/ano/02/form.tab?PMS_TSK_PBNC_ID=PBD201800000243
  7. Seo, H. J. & Kyun. S. (2019). An analysis of research published in Korean Journal with the theme of 'education & AI', using semantic network analysis. Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, 9(11), 209-217. https://doi.org/10.35873/ajmahs.2019.9.11.020
  8. Kim, K. S. & Park, Y. G. (2017). A Development and Application of the teaching and learning model of Artificial Intelligence Education for Elementary Student. Journal of the Korean Association of Information Education, 21(1),139-149. https://doi.org/10.15833/KAFEIAM.23.1.139
  9. Gwan, H. S. & Ryu, M. Y. (2019). AI Education Programs for Deep-Learning Concepts. Journal of the Korean Association of information Education, 23(6), 583-590. https://doi.org/10.14352/jkaie.2019.23.6.583
  10. Lee, S. C. & Kim, T. Y. (2020). Proposal of Contents and Method of Artificial Intelligence Education for Elementary School Students, Proceedings of Computer Education conference, 24(1), 177-180.
  11. Lee, Y. H. (2019). An Analysis of the Influence of Block-type Programming Language-Based Artificial Intelligence Education on the Learner's Attitude in Artificial Intelligence. Journal of the Korean Association of information Education, 23(2), 189-196. https://doi.org/10.14352/jkaie.2019.23.2.189
  12. Woo, H. S., Lee, H. J., Kim, J, M. & Lee, W. G. (2020). Analysis of Artificial Intelligence Curriculum of SW Universities. The Journal of Korean association of computer education, 23(2), 13-20. https://doi.org/10.32431/KACE.2020.23.2.002
  13. Rue, S. M. (2016). BigData Effects on Artificial Intelligence. The Journal of Korea Institute of Information Technology Magazine 14(1), 29-34.
  14. Woo, J. P., Im, S. A., & Park, S. W. (2018). Research on customer purchasing patterns using big data and artificial intelligence. Proceedings of Korea Distribution Association conference, 2018(4), 159-166.
  15. 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.
  16. Lee, S. Y. & Yoon, H. J. (2019). A Study on Big Data Information System based on Artificial Intelligence -Filmmaker and Focusing on Movie case analysis of 10 million Viewers. The Journal of the Korea Institute of Electronic Communication Sciences, 14(2), 377-388. https://doi.org/10.13067/JKIECS.2019.14.2.377
  17. Park, W. W., Son, S. Y., Park , H. S. & Park, H. S. (2010). A proposal on determining appropriate sample size considering statistical conclusion validity. Seoul Journal of Industrial Relations, 21, 51-85.
  18. Korea Foundation for the Advancement of Science and Creativity. (2016). A Study on Surveying the Actual Conditions and Evaluating the Effectiveness of SW Education in Elementary and Secondary Schools. Seoul : KFASC. Retrived http://www.ndsl.kr/ndsl/search/deail/rport/reportSearchResultDetail.do?cn=TRKO201600014678
  19. No, K. S. (2014). SPSS & AMOS 21. Seoul: Hanbit.
  20. No, H. J. (2014). Principal component analysis & factor analysis. Seoul: Hanol.
  21. Kim, H. U. & Mun, S. Y. (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
  22. Youn, J. Y., Kim, Y. M., So, J. H. & Kim, Y. H. (2019). A Study on the Media Art STEAM Education Program Using Data Science and Artificial Intelligence. The Korean Society of Science & Art 37(5), 265-276. https://doi.org/10.17548/ksaf.2019.12.30.265
  23. M. S. Knowles(1975). The adult learner:A neglected species. Gulf Publishing Company.
  24. Keller, J. M. (2010). Motivational design for learning and performance: The ARCS model approach. Springer Science & Business Media
  25. Han, J. Y. (2020). Changes in attitudes and efficacy of AI learners according to the level of programming skill and project interest in AI project. Journal of The Korean Association of Information Education, 24(4), 391-400. https://doi.org/10.14352/jkaie.2020.24.4.391
  26. Kim, K. S. (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