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http://dx.doi.org/10.14352/jkaie.2021.25.6.917

A Study on Instructional Methods based on Computational Thinking Using Modular Data Analysis Tools for AI Education in Elementary School  

Shin, Seungki (Department of Computer Education, Seoul National University of Education)
Publication Information
Journal of The Korean Association of Information Education / v.25, no.6, 2021 , pp. 917-925 More about this Journal
Abstract
This study aims to specify a constructivism-based instructional method using a modular data analysis tool. The value and meaning of a modular data analysis tool have been examined to be applied in the national curriculum for artificial intelligence education and the process of cultivating problem-solving ability based on computational thinking. The modular data analysis tool visually expresses the cognitive thinking process that forms the schema in equilibrating through assimilation and adjustment. Artificial intelligence education has features that embody abstract knowledge and structure the data analysis module through the represented schema as a BlackBox implemented as an algorithm. Therefore, the value of the modular data analysis tool could be examined because it has the advantage of connecting the conceptual and implicit schema.
Keywords
Modular; Data Analysis; Computational Thinking; AI Education; Instructional Method;
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