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http://dx.doi.org/10.14352/jkaie.2021.25.1.123

Analysis of Understanding of Prospective Teachers' Computational Thinking on Artificial Intelligence Education  

Seo, SeongChae (Dept. of Computer Science, Chonnam National University)
Kim, Chul (Dept. of Computer Education, Gwangju National University of Education)
Publication Information
Journal of The Korean Association of Information Education / v.25, no.1, 2021 , pp. 123-134 More about this Journal
Abstract
In the era of the 4th industrial revolution, the world and Korea are presenting the thinking process of computational thinking in order to cultivate future talents, and reflecting them in teaching and learning to conduct software education. As the necessity of artificial intelligence education increases in elementary school computer education, we are trying to cultivate the improvement of computational thinking through artificial intelligence education. In this paper, after examining the relationship between artificial intelligence education and the improvement of computational thinking, we analyzed the understanding of computational thinking of prospective teachers who took artificial intelligence education for one semester. In addition, it was compared and analyzed whether the software education method of prospective teachers affects the understanding of computing thinking ability. As a result of the analysis, it was found that computational thinking, a core competency in the future, can be improved through artificial intelligence education.
Keywords
Computational Thinking; CT; Artificial Intelligence; Software Education; Prospective Teachers;
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