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http://dx.doi.org/10.14352/jkaie.2021.25.2.289

A Trend Analysis of Computer Education based on SNS Data through Data Mining Analysis  

Kim, Kapsu (Department of Computer Education, Seoul National University of Education)
Chun, Seokju (Department of Computer Education, Seoul National University of Education)
Koo, Dukhoi (Department of Computer Education, Seoul National University of Education)
Shin, Seungki (Department of Computer Education, Seoul National University of Education)
Publication Information
Journal of The Korean Association of Information Education / v.25, no.2, 2021 , pp. 289-300 More about this Journal
Abstract
SNS data was collected and analyzed by topic modeling techniques to examine recent trends in information education. By deriving keywords and topics for SW education and AI education, we not only attempted to discover insights ahead of the next revised curriculum but also suggested directions. According to the SNS data analysis, the contents of human resource development for software and the instructional method in schools are indicated as a high requirement. Meanwhile, SW education should be conducted through a separate curriculum from elementary school, and this was consistent with the opinion that it is necessary to be organized as a required subject. There was an opinion to support the schools since AI education is newly introduced in next revised national curriculum. The trends in SW education and AI education which are observed through SNS data analysis could be concluded to conduct the substantial operation of information education and curriculum organization.
Keywords
Computer Education; SW Education; AI Education; National Curriculum; Topic Modeling;
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