人工智能时代高校生态学专业英语教学改革探索

Exploration on Ecology-English Education System in Colleges and Universities at the Era of Artificial Intelligence

摘要: 在全球生态治理合作深化、我国生态文明建设加速推进的时代背景下，兼具专业能力、国际交流能力与家国情怀的复合型生态人才成为支撑美丽中国建设、参与全球生态治理的核心力量。培养具备扎实专业功底与卓越国际沟通能力的“专业 + 英语”复合型生态人才成为关键。当前我国高校生态学专业英语普遍存在教学模式固化脱离实践、学生学习能动性不足、评价体系单一、研究案例、思政元素融入不足等痛点，难以适配新时代人才培养需求。本文探讨以生成式人工智能、虚拟现实、大数据分析等为代表的新一代AI技术，深度赋能生态学专业英语教学改革，构建了一个以学生为中心、以职业能力为导向、以AI为驱动、以价值塑造为内核的“个性化适配–场景化实践–精准化评价–思政融入”四维一体智慧教学体系，并详细阐述其实践路径。旨在通过数据驱动个性化学习、沉浸式场景化实训、即时性精准化反馈以及有机融合思政融入，系统性解决传统教学的痛点，实现知识传授、能力培养与价值塑造的有机统一，为培养服务于国家生态文明建设与全球生态治理的高素质人才提供可复制的实践范式。

Abstract: Under the background of deepening global ecological governance cooperation and accelerating advancement of Chinese ecological civilization construction, interdisciplinary ecological talents with professional competence, international communication competence, and a strong sense of national identity and responsibility have become the core supporters on the construction of Beautiful China and participating in global ecological governance. Cultivating interdisciplinary ecological talents with solid professional foundation and excellent international communication competence has become a critical task. At present, the English course for ecology in Chinese universities generally have rigid teaching mode disconnected from practice, insufficient learning initiative among students, simplex evaluation system, and inadequate integration of research cases and ideological and political elements. They result in hardly adapt to the talent cultivation of the new era. This paper discusses how new-generation AI technologies represented by generative artificial intelligence, virtual reality (VR) and big data analysis empower the teaching reform of English for ecology in depth. A student-centered, career competency-oriented, AI-driven and value-shaping-focused smart teaching system of “personalized adaptation-scenario-based practice-precise evaluation-ideological and political infiltration” have been constructed, elaborating its practical pathways. We aim to systematically solve the problems in traditional teaching through data-driven personalized learning, immersive scenario-based training, real-time precise feedback and organic ideological and political infiltration, realize the organic unification of knowledge imparting, ability cultivation and value shaping. The system provides a replicable practical paradigm for cultivating high-quality talents who service national ecological civilization construction and global ecological governance.