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http://dx.doi.org/10.14352/jkaie.2020.24.6.573

Analysis of changes in artificial intelligence image of elementary school students applying cognitive modeling-based artificial intelligence education program  

Kim, Tae-ryeong (Seoul Segumjung Elementary School)
Han, Sun-gwan (Dept of Computer Education, GyeongIn National University of Education)
Publication Information
Journal of The Korean Association of Information Education / v.24, no.6, 2020 , pp. 573-584 More about this Journal
Abstract
This study is about the development of AI algorithm education program using cognition modeling to positively improve students' image on AI. First, we analyzed the concept of user-based collaborative filtering and developed the education program using the cognition modeling method. We checked the adequacy of program through the expert validity test. Both CVR values for the content development method of cognitive modeling and the developed program showed validity above .80. We applied the developed program to elementary school students in class. The test was conducted using a semantic discrimination to examine changes in students' perception of artificial intelligence before and after. We were able to confirm that the students' AI images were significant positive change in 12 of the 23 words in the adjective pair.
Keywords
Artificial Intelligence; AI education; Collaborative Filtering Algorithm; Cognition Modeling; Software education;
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Times Cited By KSCI : 6  (Citation Analysis)
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