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http://dx.doi.org/10.17703/IJACT.2022.10.1.42

Development of Subject-Convergent Teaching-Learning Materials for Core Principles of Support Vector Machines  

Hwang, Yuri (Major in Computer Education, Faculty of Science Education, Graduate School, Jeju National University)
Choi, Eunsun (Major in Computer Education, Faculty of Science Education, Graduate School, Jeju National University)
Park, Namje (Dept. of Computer Education, Teachers College, Jeju National Univ.)
Publication Information
International Journal of Advanced Culture Technology / v.10, no.1, 2022 , pp. 42-46 More about this Journal
Abstract
To cultivate talented people with creative and convergent thinking skills to live in the era of the 4th industrial revolution, the national curriculum of Korea is gradually emphasizing convergence education and software education. To meet the demands of the times, this paper suggests subject-convergent teaching-learning materials for educating core principles of Support Vector Machines, especially targeting elementary learners. Based on analysis of the national curriculum, achievement standards of three subjects are integrated. After printable worksheets for traditional face-to-face classes had developed, they were transformed to online interactive worksheets for non-face-to-face classes. The teaching-learning materials are expected to promote the growth of the learners' academic motivation and knowledge.
Keywords
Artificial Intelligence Education; Convergence Education; Elementary Education; Support Vector Machines;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
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