International Journal of Education

Artificial intelligence has found widespread applications in contemporary society and has gained prominence in national development with its rapid advancement. Mathematics and artificial intelligence are closely interconnected: mathematics serves not only as the theoretical foundation of artificial intelligence but also plays a pivotal role in its algorithms, models, and applications. Conversely, artificial intelligence facilitates the practical application of mathematical theories. These two disciplines are mutually reinforcing and synergistically integrated. Consequently, the interdisciplinary convergence of mathematics and artificial intelligence has emerged as a significant direction in current and future university education. Focusing on interdisciplinary integration education and the cultivation of students' innovative capabilities, this paper addresses three critical challenges: the complexity of current disciplinary integration, the integration of curriculum design and teaching methodologies, and the scarcity of interdisciplinary project practice and innovation opportunities. Corresponding strategies are proposed, including analysis of the intersection between mathematical foundations and artificial intelligence, interdisciplinary curriculum integration and design, and enhancement of interdisciplinary scientific research capabilities.

Mathematics; Artificial intelligence; Interdisciplinary training; Research and innovation capability