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Hu, Q.T., Zhang, Y. and Wu, W.Y. (2026) Deep Integration of Artificial Intelligence and Education: Logic, Dilemmas and Pathways. China Educational Technology, 6, 1-6+23. (In Chinese)

has been cited by the following article:

• TITLE: Integrated Design of Artificial Intelligence Application Cases for Basic Mathematics Courses in Universities

  AUTHORS: Sun Yan

  KEYWORDS: Artificial Intelligence, Foundational Mathematics Courses, Integrated Design

  JOURNAL NAME: Journal of Computer and Communications, Vol.14 No.8, August 28, 2026

  ABSTRACT: The rapid development of artificial intelligence technology has placed new demands on university-level public foundational mathematics courses. How to organically integrate the core algorithmic concepts of artificial intelligence into the teaching of the three courses—Advanced Mathematics, Linear Algebra, and Statistics—and develop a systematic, integrated design has become an important issue in current mathematics education. Using “machine learning model training” as an example, this paper proposes an integrated design of AI application cases across the three foundational mathematics courses. This approach aims to break down barriers between courses, help students build a cross-course mathematical knowledge network, and enhance their comprehensive ability to apply mathematical tools to solve practical problems in artificial intelligence.