AI赋能教学体系化建设: 从工具化应用到生态重构​——以AP Calculus课程为例

AI赋能教学体系化建设:

从工具化应用到生态重构

——以AP Calculus课程为例

陈敏瑞(重庆市第一中学校，重庆400030)

摘 要:在教育数字化向深度智能重构转型的背景下，APCalculus等国际理工科课程的传统教学体系，长期受限于教师个人经验主导的建设模式，存在教学质量不均、资源匹配不足等问题。本文以APCalculus课程为具体案例，探讨人工智能在教学实践、体系建设、评价优化中的深度应用，重点分析AI通过动态可视化、知识图谱构建、动态资源矩阵搭建及全球得分率对标等方式，体现教学体系从静态孤立向动态协同转变的内在逻辑。同时，本文明确AI赋能的核心价值是解放教师精力，推动教师从教学事务的“建筑工人”转向学生高阶思维的“引导者”，最终论证构建人机协同教学生态，是实现从经验驱动教学向证据导向教学转型、提升国际化人才培养质量的有效路径。

关键词:人工智能;教学可视化;教学体系化;教学评价多元化

AI-Enabled Systematic Constructionof Teaching:

From Instrumental Application to

Ecological Reconstruction

——A Case Study of the AP Calculus Course

Chen Minrui (Chongqing No.1 Secondary School, Chongqing 400030)

AbStract: Against the backdrop of digital transformation in education, internationalSTEM courses like AP Calculus have long faced uneven quality and resource mismatches dueto experience-driven teaching models. The research explores AI's role in teaching practice,system development and assessment optimization. Through dynamic visualization, knowledgegraphs, resource matrix construction and global benchmarking, AI facilitates a shift fromstatic, isolated systems to dynamic, collaborative ones. The core value of AI lies in freeingteachers from routine tasks, transitioning them from construction workers to facilitatorsof higher-order thinking. A human-AI collaborative ecosystem offers an effective pathwaytoward evidence-based instruction and improved quality in international talent cultivation.

KeyWOrds: Artificial Intelligence; Teaching Visualization; Systematic Teaching;Diversified Teaching Evaluation

[原文下載][Download PDF]