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http://dx.doi.org/10.14352/jkaie.2022.26.5.341

Development of Digital and AI Teaching-learning Strategies Based on Computational Thinking for Enhancing Digital Literacy and AI Literacy of Elementary School Student  

Ji-Yeon Hong (Korea National University of Education)
Yungsik Kim (Korea National University of Education)
Publication Information
Journal of The Korean Association of Information Education / v.26, no.5, 2022 , pp. 341-352 More about this Journal
Abstract
The wave of a knowledge and information society led by AI, Big Data, and so on is having an all-round impact on our way of life. Therefore the Ministry of Education is in a hurry to strengthen Digital Literacy, including AI and SW Education, by improving the curriculum that can cultivate basic knowledge and capabilities to respond to changes in the future society. It can be seen that establishing a foundation for cultivating Digital Literacy through all subjects and improving basic and in-depth learning in new technology fields such as AI linked to the information curriculum is an essential part for future society. However, research on each content for cultivating Digital and AI literacy is relatively active, while research on teaching and learning strategies is insufficient. Therefore in this study, a CT-based Digital and AI teaching and learning strategy that can foster that was developed and Delphi expert verification was conducted, and the final teaching and learning strategy was completed after evaluating instructor usability and analyzing learner effectiveness.
Keywords
Digital.AI literacy; Computational thinking; Teaching-learning strategies; Teaching-learning model; Elementary school student;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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