来华留学生课程思政创新：生成式人工智能的赋能路径

Innovation in Curriculum Ideological and Political Education for International Students in China: Empowerment Pathways through Generative Artificial Intelligence

摘要: 本文目的在于探索生成式人工智能(GAI)在来华发展中国家留学生发展类课程教学中融入思政教育的应用路径。采用文献分析法、案例研究法与教学设计法，分析当前课程教学现状及存在问题，结合建构主义学习理论与问题导向学习法，设计以“课前准备–课堂教学–课后反思”为主线的智能化教学方案。研究结果表明，GAI技术在内容生成、情境模拟与个性反馈等方面优势明显，能够有效提升课堂互动性与留学生对中国发展理念的认同感。结论认为，生成式AI为国际留学生思政教育提供了创新工具，但需关注文化适配性与人机协同边界，未来应加强应用实践与效果评估，进一步推动高校国际化教育与思政育人的深度融合。

Abstract: This study aims to explore the application of Generative Artificial Intelligence (GAI) in integrating ideological and political education into development-related courses for international students from developing countries studying in China. Utilizing literature analysis, case study, and instructional design methods, the research examines the current teaching status and challenges, and proposes an AI-assisted teaching path based on constructivist learning theory and Problem-Based Learning (PBL). The findings indicate that GAI demonstrates significant advantages in content generation, situational simulation, and personalized feedback, effectively enhancing classroom interaction and students’ recognition of China’s development concepts. The study concludes that GAI provides innovative tools for ideological and political education among international students, yet attention must be paid to cultural adaptation and human-AI collaboration. Future work should focus on practical application and outcome evaluation to further promote the deep integration of internationalized higher education and value-oriented education in the AI era.