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- W4387574168 abstract "Objectives This study analyzes the semantic network of the ‘core ideas’ of the convergence elective course in the 2022 revised curriculum to identify the nature of convergence elective course and to extract the big ideas that are formed through learning about convergence elective course.
 Methods For this purpose, this study conducted morphological analysis on 120 ‘core ideas’ of 27 convergence elective course in the 2022 revised curriculum, and conducted structural equivalence analysis(CONvergence of iterated CORrelations) that group keywords with similar connection patterns into one cluster.
 Results As a result of analyzing the semantic network among the top 114 keywords extracted from the ‘core ideas’, 12 semantic clusters were extracted, which can be named as ‘social problem solving’, ‘convergent thinking ability and cooperative attitude’, ‘growth through experience’, ‘digital technology and media’, ‘ecological and environmental crisis’, ‘respect for diversity and self-reliance’, ‘understanding culture’, ‘personal growth and stable life’, ‘discovering the meaning of life’, ‘human life and arts and sports activities’, ‘value creation and intellectual property rights’, and ‘engineering design’.
 Conclusions Since the meaning networks of the ‘core idea’ of the convergence elective course were organized around competencies needed to solve real-world problems or themes that reflected real-world contexts, the convergence elective courses fulfill its original purpose. The meaning formed by the keywords in each cluster showed the possibility of a big idea." @default.
- W4387574168 created "2023-10-13" @default.
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- W4387574168 date "2023-09-30" @default.
- W4387574168 modified "2023-10-13" @default.
- W4387574168 title "Semantic Network Analysis for ‘Core Ideas’ of Convergence Elective Courses in the 2022 Revised Curriculum" @default.
- W4387574168 doi "https://doi.org/10.22251/jlcci.2023.23.18.83" @default.
- W4387574168 hasPublicationYear "2023" @default.
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