AI智能体赋能地域文化融入高校英语教学的实证研究——以越地文化为例

An Empirical Study on AI Agent-Empowered Integration of Regional Culture into College English Teaching—A Case Study of Yue Culture

摘要: 在教育数字化转型与中华文化国际传播背景下，针对高校英语教学中地域文化融入路径不清、学生“文化失语”等现实困境，本研究构建了“语言能力–地域文化–智能技术”(TCL)三维协同教学框架，并探索了AI智能体赋能的系统化教学路径。通过对68名英语专业学生开展为期16周的准实验研究，结合测试、问卷及访谈等方法验证教学成效。结果表明：AI智能体支持的教学模式显著提升了学生的英语综合运用能力、地域文化词汇转码能力及跨文化叙事表达水平(p < 0.001)，有效解决了地域文化专有项的英语表达难题；同时，学生的地域文化认同感、表达自信心与交际意愿显著增强。研究证实了AI智能体作为认知支架与交互语伴的有效性，为地方高校外语教学数智化转型及跨文化传播人才培养提供了可复制的实践范式。

Abstract: In the context of the digital transformation of education and the international dissemination of Chinese culture, this study addresses the practical challenges in university English teaching, such as unclear pathways for integrating regional culture and students’ “cultural silence”. It proposes a three-dimensional collaborative teaching framework, “Language Competence-Regional Culture-Artificial Intelligence Technology” (TCL), and explores a systematic teaching approach empowered by AI agents. A quasi-experimental study was conducted with 68 English majors over 16 weeks, using tests, questionnaires, and interviews to validate the teaching effectiveness. The results show that the AI-supported teaching model significantly improved students’ overall English proficiency, regional cultural vocabulary decoding ability, and cross-cultural narrative expression skills (p < 0.001), effectively addressing the challenges in expressing regional culture-specific terms in English. Moreover, students’ sense of regional cultural identity, confidence in expression, and willingness to communicate were significantly enhanced. The study confirms the effectiveness of AI agents as cognitive scaffolds and interactive language partners, providing a replicable practical model for the digital transformation of foreign language teaching in local universities and the cultivation of cross-cultural communication talents.