AI赋能下的国际贸易实务课程数字化教学改革研究

Research on Digital Teaching Reform of International Trade Practice Courses Empowered by AI

摘要: 随着人工智能技术的快速发展和数字贸易的兴起，传统国际贸易实务课程教学模式面临严峻挑战。本研究针对当前教学中理论与实践脱节、教学方法单一、实训条件不足等问题，探索AI技术与国际贸易实务课程深度融合的创新路径。研究构建了AI赋能的数字化教学改革框架，包括课程内容重构、教学方法创新和评价体系改革三个核心维度。在课程内容方面，新增数字贸易模块，涵盖跨境电商平台运营、数字支付结算、智能供应链管理等内容。在教学方法上，采用“线上预习 + 线下实践 + 线上拓展”的混合式教学模式，实施真实项目驱动的实战教学。在评价体系上，建立以过程性评价为主、能力导向为核心的多元化考核机制。预期改革将显著提升学生的数字化操作能力和实践应用能力，提高教学目标达成度和课堂教学效率。研究同时分析了技术应用、师资培训等方面的挑战，构建可持续发展生态等对策建议。本研究为贸易经济类专业的数字化转型提供了可借鉴的实践经验，对推动高校人才培养模式创新具有重要参考价值。

Abstract: With the rapid development of artificial intelligence technology and the rise of digital trade, traditional teaching models for International Trade Practices courses face severe challenges. This study addresses current issues, such as the disconnection between theory and practice, monotonous teaching methods, and insufficient practical training conditions. It explores innovative approaches to deeply integrate AI technology with International Trade Practices courses. The research constructs an AI-empowered digital teaching reform framework comprising three core dimensions: curriculum restructuring, pedagogical innovation, and evaluation system reform. In curriculum restructuring, a digital trade module has been added, covering cross-border e-commerce platform operations, digital payment settlement, and intelligent supply chain management. Pedagogically, a blended teaching model of “online preview + offline practice + online extension” has been adopted, implementing real-project-driven practical teaching. For evaluation, a diversified assessment mechanism centered on process-based evaluation and competency orientation has been established. The expected reforms will significantly enhance students’ digital operational skills and practical application abilities, improving teaching objective attainment and classroom efficiency. The study also analyzes challenges in technology application and faculty training, proposing countermeasures such as building a sustainable academic ecosystem. This research provides transferable practical experience for the digital transformation of trade-related disciplines and offers valuable insights for innovating higher education talent cultivation models.