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http://dx.doi.org/10.14352/jkaie.2021.25.5.691

A Study of the Definition and Components of Data Literacy for K-12 AI Education  

Kim, Seulki (Korea National University of Education)
Kim, Taeyoung (Korea National University of Education)
Publication Information
Journal of The Korean Association of Information Education / v.25, no.5, 2021 , pp. 691-704 More about this Journal
Abstract
The development of AI technology has brought about a big change in our lives. The importance of AI and data education is also growing as AI's influence from life to society to the economy grows. In response, the OECD Education Research Report and various domestic information and curriculum studies deal with data literacy and present it as an essential competency. However, the definition of data literacy and the content and scope of the components vary among researchers. Thus, we analyze the semantic similarity of words through Word2Vec deep learning natural language processing methods along with the definitions of key data literacy studies and analysis of word frequency utilized in components, to present objective and comprehensive definition and components. It was revised and supplemented by expert review, and we defined data literacy as the 'basic ability of knowledge construction and communication to collect, analyze, and use data and process it as information for problem solving'. Furthermore we propose the components of each category of knowledge, skills, values and attitudes. We hope that the definition and components of data literacy derived from this study will serve as a good foundation for the systematization and education research of AI education related to students' future competency.
Keywords
SW/AI Education; Infomatics Education; Data Literacy; Data Education; Word2Vec;
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