Abstract
Objectives The purpose of this study is to develop teaching and learning materials for artificial intelligence(AI) math classes, to confirm the appropriateness of the contents and methods of materials for high school students, and to understand educational effects as math education materials.
 Methods Teaching and learning materials were developed by selecting a linear regression and Monte Carlo method containing mathematical learning elements of the high school curriculum among machine learning of AI. The developed learning materials were applied to 5 second-year high school students, and based on the results, teaching and learning materials were finally completed.
 Results As a result of the study, math classes using AI stimulated students' reflective thinking in the learning process and helped them understand math progressively. In addition, it stimulated students' interest and curiosity in mathematics and had a positive effect on improving the affective domain of mathematics.
 Conclusions The result of this study provides some useful implications to development of teaching and learning materials that can understand AI mathematics using Python programming, and experience internal-external connections. And it is expected to be a useful guide for construction of teaching and learning materials for AI math classes.
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