Reengineering and Implementation of the Experimental Curriculum System of Finance under the Background of Artificial Intelligence

Abstract

The deep penetration of artificial intelligence technology has completely transformed the operational logic and talent demands in the
financial industry. The traditional experimental curriculum system of finance suffers from problems such as outdated content, insufficient tech
nology convergence, and monolithic practice scenarios, failing to meet the development needs in the industry. This paper anchors in the deep
integration trend of artificial intelligence and finance, analyzes the core weaknesses of the existing experimental curriculum system, explores
the pathways for reengineering the experimental curriculum system of finance from three dimensions: course module reengineering, teach
ing model innovation, and safeguard mechanism improvement, and proposes specific implementation strategies, aiming to cultivate versatile
financial professionals with both financial expertise and AI application capabilities, and enhance the compatibility of practice teaching quality
and talent cultivation of finance.