AI赋能的经济学沙盘模拟课程设计初探：面向数字经济时代的教学改革

With the rapid development of the digital economy, technologies such as artificial intelligence (AI), big data, and cloud computing have brought transformations to economics education. The traditional economics teaching model, which relies on theoretical instruction and static case analysis, can hardly meet students’ needs to apply economic knowledge to practical problems. Therefore, this paper proposes an AI-empowered teaching model for economics sandbox simulation. By integrating an AI-driven market simulation system and intelligent decision support, this model enables students to conduct economic decision-making simulations in a virtual market, improving their abilities in data analysis, economic forecasting, and decision-making.In terms of instructional design, the course adopts a structure of “three links + four dimensions + six levels”, including intelligent learning before class, immersive experience during class, and personalized development after class, aiming to gradually enhance students’theoretical understanding, practical competence, and innovative thinking. Through four core dimensions—data analysis, business operation decision-making, macro policy evaluation, and intelligent decision optimization—students can deepen the application of economic principles in a dynamic economic environment and cultivate interdisciplinary economic and management talents that meet the demands of the digital economy era. This paper discusses the design philosophy, implementation methods, and teaching effectiveness of this teaching model, providing new ideas and practical directions for the reform of economics education.