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New Mathematical Competence for : A Focus on Digital Competence

Authors: Seo-Hyeon Han;

New Mathematical Competence for : A Focus on Digital Competence

Abstract

This study proposes a mathematical competence network for the subject “Artificial Intelligence Mathematics.” The proposed competence network is a new concept of competence as an organic and hierarchical aggregate of mathematical competencies. To define this, the research used systematic literature analysis and review as a main research method and reviewed the relationship and properties among the elements constituting mathematical competence. Next, the research reviewed the meaning of digital competence and specified digital competence as the goal competence to be developed with Artificial Intelligence Mathematics. Finally, the research explored the digital competence framework which was the core idea of the study. The mathematical competence network for Artificial Intelligence Mathematics was then created by making a mathematical competence network and structuring the six mathematical competencies of the 2015 amended curriculum around the network. The new framework is expected to serve as a key standard for implementing competence-based education for Artificial Intelligence Mathematics.

Keywords

competence framework, QA1-939, artificial intelligence mathematics, mathematical competence, mathematical competence network, digital competence, L, Mathematics, Education

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold