제 4차 산업혁명 시대의 바이오와 인공지능 융합 교육의 방향 및 제언
Directions and Suggestions for Education in Artificial Intelligence and Biotechnology Convergence in the 4th Industrial Revolution
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In the era of the 4th Industrial Revolution, artificial intelligence(AI) and big data are considered representative techniques and are being converged with a variety of industrial fields, including the biomedical and pharmaceutical sectors. In line with the latest trend, the demand for the knowledge and capabilities regarding AI is increasing. In this research, we suggest directions of the education in biotechnology and AI convergence. We employ the focus group interview(FGI) and the in-depth interview(IDI) to investigate the opinions of specialists belonging to biopharmaceutical, medical and AI fields. The results are summarized as follows. The convergence education of AI and biotechnology is presently required to the biotechnology trainee. Advancing into the bio-convergence industry is currently limited to college graduates majored in biotechnology. Specialists participated in this study affirm that bio major students should attain logic and mathematics in studying AI and programming, which leads to the direction of education with the convergence of AI and biotechnology. This research confirmed the AI proficiency required for bioconvergence workers and suggested the direction of vocational education to be implemented for college students and graduates in the future.
Abstract
In the era of the 4th Industrial Revolution, artificial intelligence(AI) and big data are considered representative techniques and are being converged with a variety of industrial fields, including the biomedical and pharmaceutical sectors. In line with the latest trend, the demand for the knowledge and capabilities regarding AI is increasing. In this research, we suggest directions of the education in biotechnology and AI convergence. We employ the focus group interview(FGI) and the in-depth interview(IDI) to investigate the opinions of specialists belonging to biopharmaceutical, medical and AI fields. The results are summarized as follows. The convergence education of AI and biotechnology is presently required to the biotechnology trainee. Advancing into the bio-convergence industry is currently limited to college graduates majored in biotechnology. Specialists participated in this study affirm that bio major students should attain logic and mathematics in studying AI and programming, which leads to the direction of education with the convergence of AI and biotechnology. This research confirmed the AI proficiency required for bioconvergence workers and suggested the direction of vocational education to be implemented for college students and graduates in the future.
참고문헌 (15)
- Moon, Y. K., "A Study on Changes in Employment by Artificial Intelligence and Technological Advances", Journal of Industrial Technology Research, 21(4), pp.51~59 (2016)
- 4차 산업혁명과 ICT : 4차 산업혁명과ICT 컨퍼런스, "최계영", 정보통신정책연구원, ~ (2017)
- Mallapaty, S, "How COVID vaccines shaped 2021 in eight powerful charts", Nature, 600(7890), pp.580~583 (2021)
- Zhou, Y, "Artificial Intelligence in COIVD-19 Drug Repurposing", Lancet Digital Health, 2(12), pp.667~676 (2020)[DOI]
- Yeo, I. J., "4차 산업의 핵심기술인 빅데이터 이용 신약개발 전략", Regulatory Research on Food, Drug and Cosmetic, 12(2), pp.101~106 (2017)
- 김 지 영, "코로나 시대의 재택근무와 육아노동 병행 환경 개선을 위한 서비스 및 제품 디자인 제안 -워킹맘 중심으로-", 한국과학예술융합학회, 40(2), pp.117~128 (2022), 한국전시산업융합연구원[DOI]
- Krueger, R. A, "Focus Groups: A Practical Guide for Applied Research" (1988), Sage
- 이영석, "대학에서 비전공자 대상 인공지능 교육의 사례 연구", 융합정보논문지, 12(2), pp.157~162 (2022), 중소기업융합학회[DOI]
- 김지윤, "인공지능 융합교육 관심도에 기반한 대학원 전공 필수 교과목 개발 사례연구", 학습자중심교과교육연구, 22(2), pp.323~341 (2022), 학습자중심교과교육학회
- Zeng T., "Applying artificial intelligence in the microbiome for gastrointestinal diseases: A review", Journal of Gastroenterology and Hepatology, 36(4), pp.832~840 (2021)[DOI]
- 김정진, "대학교 융합전공 발전방안 연구", 사회융합연구, 5(1), pp.21~31 (2021), 국방안보연구소[DOI]
- 김양희, "인공지능 교양 교육과정 운영의 의미와 방향 탐색", 인문사회과학연구, 23(2), pp.283~305 (2022), 인문사회과학연구소[DOI]
- 이영지, "인공지능 기반의 미생물 균총과 질병과의 연관성 예측을 위한 Data Augmentation 방법론", 전자공학회논문지, 58(3), pp.59~66 (2021), 대한전자공학회
- 이새봄, "헬스케어산업에서의 인공지능 활용 동향", 한국콘텐츠학회 논문지, 20(5), pp.448~456 (2020), 한국콘텐츠학회[DOI]
- 과학기술정보통신부, "2022년도 인공지능융합혁신인재양성 사업 공고 제2022-0066호", ~ (2022)
