Research on AIGC-Driven Personalized Mathematics Learning System

This paper comprehensively explores the development, implementation, and impact of an AIGC (Artificial Intelligence-Generated Content)-driven personalized mathematics learning system. In an era where education faces increasingly diverse learning needs, traditional teaching methods often fall short of addressing individual differences. Leveraging advanced artificial intelligence technologies, this system aims to provide tailored learning experiences that cater to each student’s unique needs, strengths, and weaknesses. By integrating generative AI models, adaptive learning algorithms, and real-time feedback mechanisms, the system seeks to enhance student engagement, improve learning outcomes, and foster a deeper understanding of mathematical concepts. This paper particularly focuses on the application of AIGC in recreating historical mathematical scenarios, enabling students to better understand the origins and significance of mathematical theorems.