As the mathematical cornerstone of cutting-edge technologies such as artificial intelligence and big data, the Advanced Algebra course is confronted with challenges including disconnection between theoretical teaching and practical application demands, rigid teaching modes and insufficient practical training in the AI era. Based on the dual demands for students’ mathematical literacy and interdisciplinary capabilities in the AI era, this paper combines the existing dilemmas of curriculum teaching and restructures current teaching paths driven by AI application demands, so as to provide solid support for cultivating high-quality interdisciplinary talents with solid mathematical foundations and innovative practical capabilities.
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