Research on the teaching reform of undergraduate international finance course under the background of artificial intelligence and big data

Under the background of the rapid development of artificial intelligence and big data technology, profound changes have taken place in the financial industry, which puts forward new requirements of compound and practical talents training for undergraduate international finance courses. Through the combination of literature research, questionnaire survey and case analysis, this paper systematically analyzes the lack of adaptability of the traditional undergraduate international finance course in teaching content, teaching methods, practice system and assessment mechanism. Based on this, this paper constructs a four in one teaching reform framework of "technology integration - content reconstruction - mode innovation - security support", and puts forward specific reform paths such as the optimization of course content integrated with AI and big data technology, the construction of online and offline hybrid teaching mode, the construction of multi-dimensional practical teaching system and the improvement of process assessment mechanism. The empirical test shows that the teaching reform scheme can significantly improve students' financial theory application ability, data analysis ability and interdisciplinary innovation ability. Finally, combined with the teaching reform practice cases of Fudan University, Tsinghua University and other universities, this paper summarizes the experience and enlightenment that can be popularized, and provides theoretical reference and practical paradigm for the high-quality development of undergraduate international finance courses under the background of AI big data.