Reform Strategies of Advanced Mathematics Courses for Vocational Undergraduate Education in the AI Era

Abstract

The deep integration of artificial intelligence (AI) technology and the real economy is driving industries to accelerate transformation toward high-end, intelligent, and digital development. However, Advanced Mathematics, as a core public basic course for vocational undergraduate education, still faces problems such as outdated curriculum concepts, disconnection between content and professional posts, single teaching mode, and insufficient integrated teaching competence of teachers. These issues make it difficult to align with the positioning of vocational undergraduate education and meet the demand for high-quality technical and skilled talents in the new era. Based on the educational essence and talent training objectives of vocational undergraduate education, combined with the core advantages of AI in empowering education and teaching, this paper systematically elaborates an integrated reform path from six dimensions: curriculum concept innovation, content system reconstruction, teaching mode innovation, evaluation mechanism reform, teaching staff construction, and teaching resource support. It promotes the transformation and upgrading of Advanced Mathematics courses toward literacy empowerment, application orientation, digital-intelligent integration, and post-course docking. This will effectively enhance the supporting role of mathematics courses in professional learning and the empowering value for vocational ability, and lay a solid foundation for the high-quality development of vocational undergraduate education.