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http://dx.doi.org/10.14352/jkaie.2020.24.5.473

A Study on Elementary Education Examples for Data Science using Entry  

Hur, Kyeong (Dept. of Computer Education, Gyeongin National University of Education)
Publication Information
Journal of The Korean Association of Information Education / v.24, no.5, 2020 , pp. 473-481 More about this Journal
Abstract
Data science starts with small data analysis and includes machine learning and deep learning for big data analysis. Data science is a core area of artificial intelligence technology and should be systematically reflected in the school curriculum. For data science education, The Entry also provides a data analysis tool for elementary education. In a big data analysis, data samples are extracted and analysis results are interpreted through statistical guesses and judgments. In this paper, the big data analysis area that requires statistical knowledge is excluded from the elementary area, and data science education examples focusing on the elementary area are proposed. To this end, the general data science education stage was explained first, and the elementary data science education stage was newly proposed. After that, an example of comparing values of data variables and an example of analyzing correlations between data variables were proposed with public small data provided by Entry, according to the elementary data science education stage. By using these Entry data-analysis examples proposed in this paper, it is possible to provide data science convergence education in elementary school, with given data generated from various subjects. In addition, data science educational materials combined with text, audio and video recognition AI tools can be developed by using the Entry.
Keywords
Artificial Intelligence; Data Science; Entry; Small Data; Software Education;
Citations & Related Records
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