Browse > Article
http://dx.doi.org/10.14352/jkaie.2021.25.5.705

Development of Elementary Machine Learning Education Program to Solve Daily Life Problems Using Sound Data  

Moon, Woojong (Jeju National University)
Ko, Seunghwan (Jeju National University)
Lee, Junho (Jeju National University)
Kim, Jonghoon (Jeju National University)
Publication Information
Journal of The Korean Association of Information Education / v.25, no.5, 2021 , pp. 705-712 More about this Journal
Abstract
This study aims to develop artificial intelligence education programs that can be easily applied in elementary schools according to the trend of the times called artificial intelligence. The training program designed the purpose and direction based on the analysis results of the needs of 70 elementary school teachers according to the steps of the ADDIE model. According to the survey, elementary school students developed a machine learning education program to set sound data as the theme of the most accessible in their daily lives and to learn the principles of artificial intelligence in solving problems using sound data in real life. These days, when the need for artificial intelligence education emerges, elementary machine learning education programs that solve daily life problems based on sound data developed in this study will lay the foundation for elementary artificial intelligence education.
Keywords
Sound Data; AI; Daily Life Problems; Computational Thinking; Machinelearning for kids;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Moon, W.J., Lee, J.H., Kim, B.C., Seo, Y.H., Kim, J.A., Oh, J.C., Kim, Y.M., Kim, J.H.(2021). Effect of block-based Machine Learning Education Using Numerical Data on Computational Thinking of Elementary School Students. Journal of The Korean Association of Information Education, 25(2), 367-375.   DOI
2 Software Policy&Research Insti(2020). National AI Research Index: Competing for the Innovation. Issue report IS-108.
3 Ministry of Education(2021). Criteria for contents of AI education in elementary and secondary schools.
4 Jang, J.H.(2018). New Artificial Intelligence Technology Self-study Artificial Intelligence. Introduction to SAMSUNG SDS.
5 Wing, J.M.(2006). Computational Thinking. Communications of the ACM, 49(3), 33-35   DOI
6 Seo, J.Y.(2021). A Study on SW and AI Education in the Era of Digital Transition. Proceeding of the KAIE Summer Conference 2021, Keynote Lecture
7 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, Vol 23(2), 189-196   DOI
8 Shin, J.S., Jo, M.H.(2021). Development and Implementation of an Activity-Based AI Convergence Education Program for Elementary School Students. Journal of The Korean Association of Information Education, Vol 25(3), 437-448   DOI
9 Ko, S.H., Lee, J.H., Moon, W.J., Kim, J.H.(2021). Design of Machine Learning Education Program for Elementary School Students Based on Sound Data. The KAIE Journal, Vol 12(2), 7-12
10 Kanako Onishi(2019). Easiest AI Introduction, 1st ED. Seoul: Atio.
11 Kahney, H. (1986). Problem solving: A cognitive approach, Milton Keynes, Philadelphia: Open University Press.
12 Lee, S.M., Chun, S.J.(2021). The Effect of AI Experience Program Using Teachable Machine on AI Perception of Elementary School Students. Journal of The Korean Association of Information Education, Vol 25(4), 611-619   DOI
13 C. H. Lawshe (1975). A quantitative approach to content validity. Personnel psychology, 28(4), 563-575.   DOI