生成式人工智赋能基础教育教学的应用与反思

The Application and Reflection of Generative Artificial Intelligence Empowering Basic Education Teaching

摘要: 生成式人工智能与基础教育教学的深度融合，正在重构知识生产模式、学习交互方式与教学评价体系，推动基础教育向“技术赋能–人机协同–生态重构”的智能化阶段演进。在此背景下，本文聚焦生成式人工智能在基础教育教学场景中的实践应用，系统梳理其在个性化学习支持、智能化教学辅助、动态化学情诊断等领域的创新实践，揭示技术对教学效率提升、教育公平促进的赋能效应。与此同时，文章深刻反思技术应用过程中衍生的伦理风险，强调以“人机协同”为核心，通过政策规范引导、构建教育伦理约束机制等路径，推动生成式人工智能与基础教育教学的良性融合，为教育数字化转型提供理论反思与实践策略参考。

Abstract: The deep integration of generative artificial intelligence and basic education teaching is reshaping the knowledge production model, learning interaction methods, and teaching evaluation system, promoting the evolution of basic education towards an intelligent stage of “technology empowerment - human-machine collaboration - ecological reconstruction”. Against this background, this paper focuses on the practical application of generative artificial intelligence in the teaching scenarios of basic education, systematically reviews its innovative practices in areas such as personalized learning support, intelligent teaching assistance, and dynamic chemical situation diagnosis, and reveals the enabling effect of technology on improving teaching efficiency and promoting educational equity. Meanwhile, the article deeply reflects on the ethical risks arising from the application of technology, emphasizing that with “human-machine collaboration” as the core, it promotes the benign integration of generative artificial intelligence and basic education teaching through policy regulation guidance, the establishment of educational ethical restraint mechanisms and other paths, providing theoretical reflection and practical strategy references for the digital transformation of education.