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http://dx.doi.org/10.14352/jkaie.2020.24.5.433

Exploration of AI Curriculum Development for Graduate School of Education  

Bae, Youngkwon (Daegu National University of Education)
Yoo, Inhwan (Daegu National University of Education)
Jang, Junhyeok (Daegu Seodong Elementary School)
Kim, Daeyu (Daegu Haeseo Elementary School)
Yu, Wonjin (Daegu Sangyok Elementary School)
Kim, Wooyeol (Daegu National University of Education)
Publication Information
Journal of The Korean Association of Information Education / v.24, no.5, 2020 , pp. 433-441 More about this Journal
Abstract
The advent of the intelligent information society and artificial intelligence education for fostering future talents is attracting the attention of the education community, and the AI graduate course for teachers is also being opened and operated. The curriculum of the AI education graduate school, which was established this year, is self-contained considering the conditions of each university. Are organized. Accordingly, this study seeks to explore the direction of curriculum development so that AI curriculum that can be more effective and enhance educational value in the graduate school of education can be developed in the future. Based on the Backward design, the AI curriculum proposed in this study includes Bloom's digital taxonomy, Bruner's spiral curriculum composition principle, and three elements such as 'content domain', 'level', and 'teacher learning method'. It was intended to consist of. Based on the direction of AI curriculum development suggested in the study, we hope that the AI curriculum of domestic graduate schools of education will be more substantial, and this framework will be revised and supplemented in the future to be used in the composition of the AI curriculum in elementary and secondary schools.
Keywords
Graduate School of Education; AI; AI Education; Curriculum; Curriculum Development;
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Times Cited By KSCI : 8  (Citation Analysis)
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