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http://dx.doi.org/10.14352/jkaie.2021.25.5.733

Case Study of Elementary School Classes based on Artificial Intelligence Education  

Lee, Seungmin (Pusan National University)
Publication Information
Journal of The Korean Association of Information Education / v.25, no.5, 2021 , pp. 733-740 More about this Journal
Abstract
The purpose of this study is to present the direction of elementary school AI education by analyzing cases of classes related to AI education in actual school settings. For this purpose, 19 classes were collected as elementary school class cases based on AI education. According to the result of analyzing the class case, it was confirmed that the class was designed in a hybrid aspect of learning content and method using AI. As a result of analyzing the achievement standards and learning goals, action verbs related to memory, understanding, and application were found in 8 classes using AI from a tool perspective. When class was divided into introduction, development, and rearrangement stages, the AI education element appeared the most in the development stage. On the other hand, when looking at the ratio of learning content and learning method of AI education elements in the development stage, the learning time for approaching AI education as a learning method was overwhelmingly high. Based on this, the following implications were derived. First, when designing the curriculum for schools and grades, it should be designed to comprehensively deal with AI as a learning content and method. Second, to supplement the understanding of AI, in the short term, it is necessary to secure the number of hours in practical subjects or creative experience activities, and in the long term, it is necessary to secure information subjects.
Keywords
AI education; Computational thinking; Class analysis; Digital taxonomy; Information education;
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