来华工科留学生国情课AI经验扎根教学案例研究
Teaching Case Study on AI Experiences in National Conditions Courses for International Engineering Students in China: A Grounded Approach
DOI: 10.12677/ae.2026.1692059, PDF,    科研立项经费支持
作者: 张 雅:南京信息工程大学国际教育学院,江苏 南京
关键词: 经验扎根文化比较来华留学生国情教学Experience-Grounding Culture Comparison International Students Studying in China Courses on China’s National Conditions
摘要: 在全球科技角逐以及国际科技合作深化的大环境下,工科来华留学生怎样深度领会中国社会技术语境成当前的教学难题。肩负这一使命的国情教育存在教学模式和工科生认知习惯难以符合的不足,生成式AI的推广也引发学习浅表化的难题。研究以人工智能专业留学生班级作为场域,把经验扎根理念融入教学设计,基于本国和中国文化对比推动学生开展深度学习思考。案例分析结果显示,以个体经历作为分析开端,再基于实地验证,能够有力推动学生从单纯的现象讲述跃升至系统的社会技术分析,还能把AI工具由答案生成器转变为研究协作伙伴。
Abstract: In the context of global technology competition and deepening international scientific and technological cooperation, one of the key questions is to help international engineering students studying in China to understand the Chinese technological context. This mission is undertaken by Courses on China’s National Conditions; however the current teaching approaches mismatch engineering students’ cognitive characteristics and the widespread of Generative Artificial Intelligence worsens the problem of shallow learning. The study focuses on a class international student majoring in artificial intelligence, integrates the concept of experiences-grounding into teaching design, and encourages students to engage in deep thinking through the comparison of their home-country culture and Chinese culture. Case study analysis results reveal that starting from individual experiences and being verified by real-time and real-place experiences, students can leap from simple phenomenon description to social-technical analysis and harness AI tools as research collaborator rather than answer generator.
文章引用:张雅. 来华工科留学生国情课AI经验扎根教学案例研究[J]. 教育进展, 2026, 16(9): 1585-1593. https://doi.org/10.12677/ae.2026.1692059

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