Research on the Reform of Economics Curriculum Teaching under the Background of Artificial Intelligence

Abstract

With the rapid advancement of Artificial Intelligence (AI) technology and the continuous restructuring of the digital economy, the traditional economics teaching system can hardly meet the requirements of talent cultivation and disciplinary development in the new era, confronting prominent issues including the disconnection between theory and practice, rigid teaching models, and backward application of AI technology. Based on modern educational theories such as personalized learning and industry-education integration, and considering the abstract, empirical, and applied characteristics of economics courses, this paper systematically examines the advantages and transformative opportunities of AI in economics teaching. It thoroughly elaborates on the inherent logic and practical necessity of economics teaching reform in the context of AI, constructs a systematic reform path of "goal reconstruction—system optimization—model innovation—practice enhancement—evaluation reform," and puts forward supporting measures from four dimensions: technology, faculty, resources, and students. Guided by the construction of new liberal arts, this research enriches the theoretical system of economics teaching reform, provides operable practical references for the intelligent transformation of university economics courses, facilitates the in-depth integration of economics teaching and AI technology, cultivates compound economic talents with data thinking, practical capabilities, and innovative literacy, and highlights the disciplinary value and contemporary mission of economics in "applying knowledge to practical use."