人工智能时代教学方法的范式转型与教育本质的再审视

Paradigm Shift in Teaching Methodologies and Re-Examination of Educational Essence in the Age of Artificial Intelligence

摘要: 本文基于教育技术学与教学论的交叉视角，系统审视人工智能技术对教学方法的结构性影响。研究表明：AI通过个性化学习路径生成、多模态资源整合及教学决策优化三大机制，推动教学方法从标准化向适应性转变；同时，教师角色正经历从“知识传授者”到“学习架构师”的根本性重构。当前实践呈现出“人机协同”的鲜明特征，但在算法公平性、情感教育缺失、技术依赖风险等方面仍面临严峻挑战。未来教育生态构建需坚持遵循教育育人本质原则，在技术应用中守护育人本质。

Abstract: This study systematically examines the structural impact of artificial intelligence (AI) technology on teaching methodologies from an interdisciplinary perspective integrating educational technology and pedagogical theory. The research demonstrates that AI facilitates a shift from standardized to adaptive teaching methods through three key mechanisms: generating personalized learning pathways, integrating multimodal resources, and optimizing instructional decision-making. Concurrently, the role of educators is undergoing a fundamental transformation—from knowledge transmitters to learning architects. Current practices exhibit distinct characteristics of human-machine collaboration, yet they still face significant challenges, including algorithmic bias, insufficient emotional education, and risks associated with over-reliance on technology. Constructing a future-ready educational ecosystem requires adherence to the principle of “guiding tools with wisdom”, ensuring that technological applications preserve the fundamental essence of education.