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http://dx.doi.org/10.9708/jksci.2022.27.05.069

The Direction of AI Classes using AI Education Platform  

Ryu, Mi-Young (AI Education Research, Gyoengin National University of Education)
Han, Seon-Kwan (Dept. of Computer Education, Gyoengin National University of Education)
Publication Information
Journal of the Korea Society of Computer and Information / v.27, no.5, 2022 , pp. 69-76 More about this Journal
Abstract
In this paper, we presented the contents and methods of AI classes using AI platforms. First, we extracted the content elements of each stage of the AI class using the AI education platform from experts. Classes using the AI education platform were divided into 5 stages and 25 class elements were selected. We also conducted a survey of 82 teachers and analyzed the factors that they acted importantly at each stage of the AI platform class. As a result of the analysis, teachers regarded the following contents as important factors for each stage that are AI model preparation stage (the learning stage of the AI model), problem recognition stage (identification of problems and AI solution potential), data processing stage (understanding the types of data), AI modelingstage (AI value and ethics), and problem solvingstage (AI utilization in real life).
Keywords
AI Education; AI Education Platform; AI Utilization Education; AI Value Education;
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Times Cited By KSCI : 3  (Citation Analysis)
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