GenAI赋能高中数学备课策略的转变
GenAI Empowers the Transformation of High School Math Lesson Preparation Strategies

生成式人工智能(GenAI)的快速发展，正在冲击着高中数学传统备课策略，这在为教育教学带来新挑战的同时，也带来了新机遇，使得传统的经验型备课逐渐转换为数据型备课。DeepSeek等对话式GenAI使得从“离散核心词匹配”转变为“连续语义空间映射”；从“单向信息检索”转变为“多轮认知协同”；从“传统学科孤岛模式”转变为“跨学科知识整合范式”。GenAI技术可进行深度语言解析，实现教师教学目标精准化；可提供策略参考，赋能教师优化课堂习题配置；可进行创新型知识挖掘，辅助教师完善项目式教学设计。通过以上策略与方式的转变，可降低那些简单的、重复性强的机械性工作在教师备课工作中的占比，实现“精准诊断–动态优化–靶向提升”的闭环，从而优化高中数学教师备课流程，助力高中数学教师进行高效备课，提升备课效率。
The rapid development of generative artificial intelligence (GenAI) is impacting the traditional high school mathematics lesson preparation strategy, which not only brings new challenges to education and teaching, but also brings new opportunities, making the traditional experiential lesson preparation gradually transform into data-based lesson preparation. Conversational GenAI such as DeepSeek has transformed from “discrete core word matching” to “continuous semantic space mapping”; From “one-way information retrieval” to “multi-round cognitive collaboration”; From the “traditional discipline silo model” to the “interdisciplinary knowledge integration paradigm”. GenAI technology can perform in-depth language analysis to achieve accurate teaching goals for teachers. It can provide strategic reference and empower teachers to optimize the configuration of classroom exercises; It can carry out innovative knowledge mining and assist teachers to improve project-based teaching design. Through the transformation of the above strategies and methods, the proportion of simple and repetitive mechanical work in teachers’ lesson preparation work can be reduced, and the closed-loop of “accurate diagnosis-dynamic optimization-targeted improvement” can be realized, so as to optimize the lesson preparation process of high school mathematics teachers, help high school mathematics teachers to prepare lessons efficiently, and improve the efficiency of lesson preparation.