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http://dx.doi.org/10.30807/ksms.2021.24.4.004

The Core Concepts of Mathematics for AI and An Analysis of Mathematical Contents in the Textbook  

Kim, Changil (DanKook University)
Jeon, Youngju (JeonBuk National University)
Publication Information
Journal of the Korean School Mathematics Society / v.24, no.4, 2021 , pp. 391-405 More about this Journal
Abstract
In this study, 'data collection', 'data expression', 'data analysis, and 'optimization and decision-making' were selected as the core AI concepts to be dealt with in the mathematics for AI education. Based on this, the degree of reflection of AI core concepts was investigated and analyzed compared to the mathematical core concepts and content of each area of the elective course. In addition, the appropriateness of the content of was examined with a focus on core concepts and related learning contents. The results provided some suggestions for answering the following four critical questions. First, How to set the learning path for ? Second, is it necessary to discuss the redefinition of the nature of ? Third, is it appropriate to select core concepts and terms for ? Last, is it appropriate to present the relevant learning contents of the content system of ?
Keywords
Artificial intelligence; Core concepts; Mathematics content for artificial intelligence;
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