Research on college English teaching reform and the cultivation paths of foreign language teachers’ AI literacy in independent colleges under the background of intelligent education
智能教育背景下独立学院大学英语教学改革与外语教师AI素养培养路径研究

摘要

以生成式人工智能为代表的新一代智能技术正深刻重塑外语教育生态，独立学院大学英语教学面临系统性转型压力。文章立足独立学院应用型办学定位，剖析其大学英语教学存在的五个现实困境：教学理念滞后，人机协同长期缺位；课程体系与应用型培养目标脱节；学生学习动机不足，技术依赖与诚信风险显现；师资结构失衡，教师AI素养整体不足；数字资源与保障机制薄弱。针对上述困境，文章提出四条教学改革路径：重构“价值引领、能力为本、人机协同”的教学理念；构建分层分类、对接专业的课程体系；打造“AI赋能、产出导向”的人机协同混合式教学模式；建立数据驱动的多元过程性评价体系。在此基础上，从标准锚定、分层培训、共同体赋能、制度保障、伦理自觉五个维度，系统探讨外语教师AI素养的培养路径。研究认为，教学改革与教师发展互为支撑，唯有实现技术理性与人文关怀的统一，独立学院大学英语教育方能在智能时代实现高质量发展。

Abstract

With the rapid development of generative artificial intelligence represented by ChatGPT, intelligent education is profoundly reshaping the ecology of foreign language education in China. As an important component of China's higher education system, independent colleges undertake the mission of cultivating application-oriented talents, yet their College English teaching still faces multiple practical difficulties, including outdated teaching concepts, a disconnect between the curriculum system and the goal of application-oriented talent cultivation, students' lack of learning motivation together with emerging risks of technological dependence and academic dishonesty, insufficient AI literacy among teachers, and weak digital resources and support mechanisms. Based on an in-depth analysis of these difficulties, this paper proposes four reform paths: reconstructing the teaching concept of “value guidance, competence orientation, and human-machine collaboration”; building a layered and classified curriculum system that matches students’ proficiency levels and professional needs; creating a human-machine collaborative blended teaching model characterized by “AI empowerment and production-oriented learning”; and establishing a data-driven, multi-dimensional process evaluation system. Furthermore, centering on the cultivation of foreign language teachers’ AI literacy, this paper systematically explores five development paths: anchoring standards to clarify the connotative framework of AI literacy, implementing layered and progressive training programs, empowering teachers through teaching-research communities, improving institutional guarantees and incentive mechanisms, and strengthening digital ethics and humanistic awareness. The study argues that teaching reform and teacher development are mutually reinforcing processes: only when teachers’ AI literacy is effectively improved can the dividends of intelligent technology be truly transformed into teaching effectiveness, and only by adhering to the integration of technological rationality and humanistic care can College English teaching in independent colleges achieve high-quality development in the intelligent era. The findings provide practical references for the digital transformation of foreign language education in similar application-oriented universities. Future research should further examine the implementation effects of these paths through empirical studies in diverse institutional contexts.