Abstract: The rapid development of AI technology has brought significant changes to the field of financial statement analysis. To align the teaching of financial statement analysis courses with industry development, this paper, based on the teaching practice of the course, examines the reform strategies of AI technology in the teaching process, methods, framework, and content of the course, and explores the future development direction of AI technology empawering course teaching reform. The study finds that AI technology enhances the efficiency of data and text processing of the course, reconstructs the teaching framework through designing specific teaching themes, and provides students with personalized self-learning platforms, thus can improve the teaching quality and effectiveness of the course. With technological iteration, AI-assisted teaching has a broader development space.

Key words: Financial statement analysis, Teaching reform, Teaching practice, AI technology, Deep learning algorithms, Knowledge graph