AI赋能大学英语跨学科教学模式的构建研究——以轻化工程专业为例

Constructing AI-Empowered Interdisciplinary English Teaching in Engineering Education—A Light Chemical Engineering Case Study

摘要: 本文以轻化工程学科为背景，分析了在人工智能加持下的大学学科英语教学的系统构建路径，提出了符合“新工科”建设对国际化人才培养的要求，在人工智能生成式工具和CLIL教学法的基础上形成了一种“学科–语言–技术”三维互动教学框架。围绕具体的人工智能技术助力轻化工程跨学科英语教学案例，提出并描述了实现的4个主要部分：利用人工智能教学技术优化重构教学目标、建立以AIGC为基础的技术支撑体系、以人工智能技术为驱动研发轻化工程跨学科课程内容、基于AIGC创新搭建动态化评价体系，并总结了本章研究成果为工程教育国际化贡献了可借鉴的智慧化教学生态体系范式。

Abstract: Taking the Light Chemical Engineering discipline as a practical case, this paper explores the systematic construction of AI-empowered interdisciplinary English teaching in higher education. Grounded in the demand for cultivating internationalized talents under the “Emerging Engineering Education” initiative, the study deeply integrates generative AI tools with Content and Language Integrated Learning (CLIL) pedagogy, innovatively proposing a tri-dimensional interactive teaching framework of “Discipline-Language-Technology”. It systematically elaborates on four core modules: intelligent reconstruction of teaching objectives, design of technological support systems, development of interdisciplinary course content, and innovation of dynamic assessment mechanisms—validated through typical teaching cases in Light Chemical Engineering. Findings indicate that the AI-driven interdisciplinary model significantly enhances students’ academic English proficiency, disciplinary cognition depth, and digital literacy, providing a replicable smart-teaching paradigm for the internationalization of engineering education.