Presentation Information

[3B14]Foundational Concepts of Machine Learning and a Systematic Framework for Understanding in High School Education

○Yuri NISHIYAMA1, Yuka MATSUYAMA1, Hu HAKUKEI1, Miki AOYAGI2 (1. Nihon University, 2. Nihon University)

Keywords:

Date science education,Machine learning theory,Artificial intelligence

This paper organizes the foundational concepts of machine learning in high school education and demonstrates the significance of understanding them systematically as mathematical models through educational practice using neural networks as a central topic. In particular, it focuses on connections with high school mathematics and examines the educational potential for understanding the decision-making processes of AI.