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Analyzing the Effects of AI Education Program based on AI Tools

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주제분류학제간연구

초록

Purpose: In recent years, AI technology has emerged as a core technology for the fourth industrial revolution. Along with the existing SW education, it is time to prepare for AI education, since the interest in AI education is also growing. The fact that learning about the theory and principles of AI is important is also stressed in the col-lege education. However, non-major students tend to perceive AI technology to be difficult, and hence, a more efficient AI education is required. The purpose of this research is to guide the learners' direction for AI education, helping them to break away from their fears of AI through the AI education appropriate for the learners’ level. Method: In this study, to analyze the effect of the developed educational program on the learners’ AI literacy, the dependent variables changed before and after the application of the program were analyzed, and the single group’s ex ante and ex post testings were applied for the designing method for inferring the causal relationship. Results: The AI literacy of undergraduate students was analyzed for the educational program via the ex ante and ex posts testings of a single group by operating this program. As a result of the analysis, significant results were obtained where all three areas of the AI literacy were improved through the educational program Conclusion: This study is meaningful in that the AI educational program was proposed for the liberal arts class at college for the non-majors, and that the AI educational program which is generally applicable for the liberal arts class was developed and directly applied to validate its effectiveness. Discussions are expected to continue to develop the various details of the AI basic education to ensure that the non-majors can enter the AI education without fearing the AI based on the results of this study.

Abstract

Purpose: In recent years, AI technology has emerged as a core technology for the fourth industrial revolution. Along with the existing SW education, it is time to prepare for AI education, since the interest in AI education is also growing. The fact that learning about the theory and principles of AI is important is also stressed in the col-lege education. However, non-major students tend to perceive AI technology to be difficult, and hence, a more efficient AI education is required. The purpose of this research is to guide the learners' direction for AI education, helping them to break away from their fears of AI through the AI education appropriate for the learners’ level. Method: In this study, to analyze the effect of the developed educational program on the learners’ AI literacy, the dependent variables changed before and after the application of the program were analyzed, and the single group’s ex ante and ex post testings were applied for the designing method for inferring the causal relationship. Results: The AI literacy of undergraduate students was analyzed for the educational program via the ex ante and ex posts testings of a single group by operating this program. As a result of the analysis, significant results were obtained where all three areas of the AI literacy were improved through the educational program Conclusion: This study is meaningful in that the AI educational program was proposed for the liberal arts class at college for the non-majors, and that the AI educational program which is generally applicable for the liberal arts class was developed and directly applied to validate its effectiveness. Discussions are expected to continue to develop the various details of the AI basic education to ensure that the non-majors can enter the AI education without fearing the AI based on the results of this study.

참고문헌 (23)

  1. 박홍진, "‘인공지능’, ‘기계학습’, ‘딥 러닝’ 분야의 국내 논문 동향 분석", 한국정보전자통신기술학회 논문지, 13(4), pp.283~292 (2020), 한국정보전자통신기술학회
  2. 한정윤, "AI 프로젝트 수업에서 프로그래밍 언어 활용 수준 및 프로젝트 흥미에 따른 AI에 대한 태도 및 효능감 변화", 정보교육학회논문지, 24(4), pp.391~400 (2020), 한국정보교육학회[DOI]
  3. 김윤경, "Rubrics and Schoolwide Approach to the Character Education and Some Implications to AI-Based Character Education", Robotics & AI Ethics, 5(2), pp.19~26 (2020), J-INSTITUTE
  4. 오경선, "빅데이터 기반의 AI기초교양교육이 학부생의 정의적 태도에 미치는 영향", 정보교육학회논문지, 24(5), pp.463~471 (2020), 한국정보교육학회[DOI]
  5. 전수진, "교양교육을 위한 경험학습 기반 인공지능 교육 프로그램 개발", 컴퓨터교육학회 논문지, 24(2), pp.63~73 (2021), 한국컴퓨터교육학회[DOI]
  6. 이유미, "AI 리터러시 개념 설정과 교양교육 설계를 위한 연구", 어문론집, 85, pp.451~474 (2021), 중앙어문학회[DOI]
  7. Vazhayil A, "Focusing on Teacher Education to Introduce AI in Schools: Perspectives and Illustrative Findings", 2019 IEEE 10th International Conference on Technology for Education (2019)
  8. 김수환, "K-12 학생 및 교사를 위한 인공지능 교육에 대한 고찰", 컴퓨터교육학회 논문지, 23(4), pp.1~11 (2020), 한국컴퓨터교육학회[DOI]
  9. Wong G, "Broadening Artificial Intelligence Education in K-12:Where to Start?", ACM Inroads, 11(1), pp.20~29 (2020)
  10. 이성혜, "디자인씽킹 프로세스 기반의 인공지능(AI) 교육 프로그램 적용 효과분석", 컴퓨터교육학회 논문지, 23(4), pp.49~59 (2020), 한국컴퓨터교육학회[DOI]
  11. 김갑수, "초등학생의 인공지능 교육을 위한 교수 학습 모델 개발 및 적용", 정보교육학회논문지, 21(1), pp.137~147 (2017), 한국정보교육학회
  12. 이영호, "블록형 프로그래밍 언어 기반 인공지능 교육이 학습자의 인공지능 기술 태도에 미치는 영향 분석", 정보교육학회논문지, 23(2), pp.189~196 (2019), 한국정보교육학회[DOI]
  13. 우호성, "SW중심대학의 인공지능 교육과정 현황분석", 컴퓨터교육학회 논문지, 23(2), pp.13~20 (2020), 한국컴퓨터교육학회[DOI]
  14. Jeongbin Choi, "Instructor Competency for Innovative Teaching Methods in the UNTACT Era", Robotics & AI Ethics, 5(2), pp.50~56 (2020), J-INSTITUTE
  15. Long D, "What is AI Literacy? Compentencies and Design Considerations", 2020 CHI Conference on Human Factors in Computing Systems (2020)
  16. 이철현, "AI 시대 역량 함양을 위한 실과 소프트웨어교육의 방향", 실과교육연구, 26(2), pp.41~64 (2020), 한국실과교육연구학회
  17. Yi Li, "AI Ethics and Privacy Right", Robotics & AI Ethics, 5(2), pp.27~33 (2020), J-INSTITUTE
  18. 김태웅, "Future Oriented SMART SOCIETY and Ethical Issues", Robotics & AI Ethics, 6(1), pp.35~44 (2021), J-INSTITUTE
  19. Kim Tae-woong, "IR4.0 and Ethical Tasks of AI", Robotics & AI Ethics, 4(2), pp.6~13 (2019), J-INSTITUTE

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