Reforming Artificial Intelligence Curriculum in FinTech Major through OBE Pedagogical Philosophy

Abstract

In the context of rapid financial technology development, this paper explores the reform of the “Principles and Applications of Artificial Intelligence” course for financial technology majors under the Outcome-Based Education (OBE) philosophy. Focusing on addressing the disconnect between theoretical knowledge and practical skills, as well as the need for interdisciplinary competence, the study first analyzes the current curriculum challenges, such as outdated content and limited real-world engagement. It then proposes a systematic reform framework that aligns learning outcomes with industry demands, restructures the curriculum to enhance the integration of finance and AI technology, introduces problem-based and project-driven teaching methods, and establishes a multi-dimensional assessment system. By integrating OBE principles, the reform aims to cultivate students’ abilities in AI application, data analysis, and innovative problem-solving, ensuring graduates meet the evolving needs of the fintech industry. The research provides a practical model for curriculum innovation in interdisciplinary fields, emphasizing student-centered design and continuous improvement.