Integrating theory and practice, harmonizing courses—exploration of “foundations of mathematics for artificial intelligence” under the full credit system
XU Bo, DU Baozhu, SU Ting, WANG Xianpeng
School of Information and Communication Engineering, Hainan University, Haikou 570228
Abstract:In the context of a full credit system, the course Foundations of Mathematics for Artificial Intelligence faces the challenge of linking foundational mathematical knowledge to real-world engineering problems. This paper introduces the teaching philosophy of “integration of theory and practice” and the model of “interest inspiration-project progression-AI coaching-classroom competition”, supported by diverse evaluation mechanisms to ensure course objectives are met. Curriculum reform has led to excellent student performance, with an average score of 3.61, far surpassing the 3-point graduation benchmark, and a 93% pass rate. Surveys show that 100% of students appreciate the course content design and its comprehensive assessment system. Additionally, 92% believe the course model significantly enhanced their learning efficiency.
徐博, 杜宝珠, 苏婷, 王咸鹏. 理实融合,课程融通——完全学分制下“人工智能数学基础”的教学探索[J]. 电气技术, 2025, 26(5): 79-84.
XU Bo, DU Baozhu, SU Ting, WANG Xianpeng. Integrating theory and practice, harmonizing courses—exploration of “foundations of mathematics for artificial intelligence” under the full credit system. Electrical Engineering, 2025, 26(5): 79-84.