Research on Flexible Curriculum Design of University Mathematics Based on Artificial Intelligence

Abstract

University mathematics education is crucial for cultivating the abilities of model construction and data analysis among students in
multidisciplinary fields such as economics and management. However, the current curriculum design is plagued by issues like homogenized
teaching modes, mechanized teaching processes, and insufficient educational resources, making it difficult to achieve teaching tailored to
individual needs. In response to this, this paper proposes a full-process flexible and personalized curriculum design that incorporates artificial
intelligence. Before class, AI diagnoses students' learning conditions and pushes flexible and personalized resources; during class, AI tools are
employed to realize interactive exploration and real-time feedback; after class, AI is utilized to carry out personalized consolidation and application expansion. This research can flexibly and dynamically adjust curriculum content based on students' real-time learning situations, which
not only enhances their autonomous learning and knowledge application abilities but also helps them develop a higher perspective for future
development, thereby providing new ideas for the reform of university mathematics education.