Bridging Theory and Practice: Exploration of an AI-driven Teaching Design for the "International Finance" Course

Abstract

The rise of the digital economy and the ongoing development of the "New Liberal Arts" initiative are reshaping finance education, calling for a shift away from traditional knowledge transmission toward the cultivation of higher-order competencies. This paper explores a comprehensive teaching design for the core course International Finance, which directly addresses three persistent challenges: the gap between theory and practice, stu-dents’ underdeveloped critical thinking skills, and the superficial integration of values-based education. The proposed reform rests on a three-part foundation—AI-driven instruction, embedded values education, and case-based learning. Centered on the analytical framework of "internal equilibrium and external balance" proposed by Professor Jiang Boke, our design adopts a "One Core, Two Wings, and Three-Stage Progression" teaching model. By embedding AI tech-nologies across the full spectrum of teaching and learning, this approach transforms the classroom into a space for data-driven inquiry, virtual simulation-based decision-making, and intelligent feedback. The paper details specific implementation strategies, including a restructured curriculum, innovative teaching activities, and an intelligent assessment system, which results in a marked improvement in students’ analytical and critical thinking skills, a deeper internalization of professional ethics and national identity, and the development of a replicable model for "Intelligent New Finance" course design.