AI-empowered human-machine symbiosis: mechanism and teaching model construction for college English
AI赋能大学英语课程人机共生的机理与教学模式构建

摘要

人工智能技术的迅猛发展正深刻重塑高等教育生态，大学英语课程作为通识教育与专业教育的关键衔接点，迎来了数字化转型的机遇，也面临着教学范式重构的挑战。本文聚焦AI赋能场景下大学英语课程人机共生的内在机理与教学模式构建路径，首先，梳理了AI教育应用现状，明确其从“工具辅助”向“人机深度融合”的范式转型趋势；其次，剖析了人机共生本质，认为其本质是教师、学生与AI智能体三者之间通过优势互补、双向适配及协同进化，形成新型教学共同体；然后，阐释了“AI驱动的个性化学习路径”、“人机协同的智慧课堂教学”与“数据赋能的形成性评价”三种典型教学模式在教学案例中的运行要点；最后，构建了以“双中心、三阶段、四维度”为特征的大学英语课程人机共生教学模式。文章通过研究，旨在为大学英语课程数字化转型提供理论支撑与实践参考。

Abstract

The rapid development of artificial intelligence (AI) technology is profoundly reshaping the ecological environment of higher education. As a key link between general education and professional education, college English courses are confronted with unprecedented opportunities for digital transformation as well as challenges in teaching paradigm reconstruction. This paper focuses on the internal mechanism and teaching model construction path of human-machine symbiosis in college English courses under the AI-empowered scenario. Firstly, it sorts out the current research status of AI application in education and clarifies the paradigm transformation trend from "tool assistance" to "in-depth human-machine integration". Secondly, it analyzes the essence of human-machine symbiosis, which lies in a new type of teaching community with emergence formed by teachers, students and AI agents through complementary advantages, two-way adaptation and collaborative evolution. Then, it elaborates on the operation points of three typical teaching models — "AI-driven personalized learning paths", "human-machine collaborative intelligent classroom teaching" and "data-empowered formative assessment" — based on teaching cases. Finally, it constructs a human-machine symbiotic teaching model for college English courses featuring "dual centers, three stages and four dimensions". Through this research, the paper aims to provide theoretical support and practical reference for the digital transformation of college English courses.