【摘要】 DeepSeek等生成式人工智能技术不断加速迭代并与教育深度融合，极大地改变了教育场景实践和教学思路，也引发“去技能化”风险，即技术的过度替代导致教育主体某些核心能力的削弱。本研究引入反转型逆向思维视角，构建生成式人工智能教育应用中“去技能化”现象的六维分析框架：原理逆向、观念逆向、功能逆向、过程逆向、因果逆向、结构逆向六个维度分别对应六个关键问题。研究针对每个问题提出应对策略，确保教育在拥抱生成式人工智能技术的同时，注重培养与强化教育主体应具有的核心技能，从而实现更高质量的人机协同共生。更多还原

【Abstract】 Generative AI technologies, such as DeepSeek, are continuously accelerating their iteration and deep integration with education, which significantly and unprecedentedly transform educational practices and teaching philosophies. The trend has also triggered the risk of “deskilling,”where excessive technological substitution leads to the weakening of some core competencies in educational subjects. With the dual impact of the “ deskilling” phenomenon in generative AI educational applications, this paper takes a reverse thinking of inversion, constructing a sixdimensional analysis framework for the “ deskilling” phenomenon: principle reversal, concept reversal, function reversal, process reversal, causal reversal, and structural reversal, which correspond to six key issues. The paper further proposes coping strategies for each. While embracing generative AI technology, the education sector should focus on cultivating and strengthening the core skills of educational subjects that face the danger of being replaced by generative AI to achieve a higher quality of human-machine collaborative symbiosis.更多还原