Earticle

초록

영어

Recently, artificial intelligence(AI) has been used throughout society, and social interest in it is increasing. Accordingly, the necessity of AI education is becoming a big topic in the education field. As a response to this trend, the Korean education authorities have also announced plans for AI education, and various studies have been performed in academic field to revitalize AI education in the future. However, the curriculum research on what differentiates AI education from existing SW education and what and how to train AI is still in its infancy. In this paper, Therefore, we focused on the experiences of elementary school students in solving problems in their own lives, and developed a teaching-learning model based on design-based research so that students can design a problem-solving process and experience the process of feedback. We applied the developed teaching-learning model to the problem-solving process and confirmed that it increased students' understanding and satisfaction with AI education.

목차

Abstract
1. Introduction
2. Related Works
2.1 AI education
2.2 Design Based Research
3. DBR-based AI teaching-learning model
3.1 Understanding AI
3.2 Problem Recognition and Analysis
3.3 Collecting Data
3.4 Data Processing and Selection
3.5 Training and Evaluation of Model
3.6 Programming
3.7. Applying and Solving
3.8. Sharing and Debugging
4. Case Study
4.1. Creating AI Ethics Matrix
4.2. Data-based Unplugged Activity
4.3. Data-based Unplugged Activity
4.4. Create a school education program
5. Conclusion
References

키워드

저자

• Wooyeol Kim [ Associate Professor, Department of Computer Education, Daegu National University of Education, Korea ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  The International Journal of Advanced Smart Convergence

• 간기

  계간

• pISSN

  2288-2847

• eISSN

  2288-2855

• 수록기간

  2012~2025

• 십진분류

  KDC 326 DDC 380