Research on Teaching Reform in International Trade Course Assisted by Artificial Intelligence

With the advancement of economic globalization and regional economic integration, there is a growing demand for practical talents in international trade who are skilled in the use of foreign languages and proficient in e-commerce. Therefore, the teaching of the International Trade course urgently needs to align with the trend of digital development and continuously advance teaching reform and innovation. Addressing common challenges in the current International Trade course instruction, this study explores integrating artificial intelligence technology into teaching practices. By establishing an intelligent learning platform and task-driven mechanisms, it achieves seamless integration and effective extension across pre-class, in-class, and post-class learning phases. This pedagogical model systematically cultivates students’ comprehensive abilities in identifying, analyzing, and resolving problems, while providing practical insights for AI-enhanced international trade education.