Research analyzes generative AI's impact on mathematics curriculum, highlighting innovative teaching and feedback mechanisms.
Research on the application of Generative AI to education has received wide Attention. Researchers find that the rise of Generative AI provides a technological driver for innovation in education. Researchers also found that the characteristics of Generative AI provide a theoretical foundation and practical direction for its deep integration into the secondary school intelligence education platform. However, there is very little empowerment for a particular discipline. Therefore, this paper analyzes the design of generative AI-enabled secondary school mathematics curriculum, resulting in immersive scenarios, optimizing innovative teaching models, and enhancing personalized diagnostic feedback. This paper suggests, in combination with traditional teaching methods, that the development of a human-generative AI mathematical knowledge construction system plays the interaction of mathematics teachers’ learning characteristics and technical capabilities.
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Siyu Huang (2025) studied this question.
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