生成式人工智能赋能高中数学项目式学习——以“指数函数”为例

Generative Artificial Intelligence-Enabled Project-Based Learning in High School Mathematics—A Case Study of “Exponential Function”

摘要: 生成式人工智能的迅猛发展为高中数学项目式学习提供了新的技术支撑。针对项目式学习中教师跨学科设计难度大、教学内容结构松散及过程性评价缺失等问题，本文构建了AI-PBL实施流程，并以“指数函数”教学为例，探讨生成式人工智能在高中数学项目式学习中的具体应用，为技术赋能数学教学提供实践参考。

Abstract: The rapid development of generative artificial intelligence has provided new technological support for project-based learning in high school mathematics. To address challenges in project-based learning such as the difficulty teachers face in interdisciplinary design, the loose structure of teaching content, and the lack of process-oriented evaluation, this paper constructs an AI-PBL implementation framework. Taking the teaching of “Exponential Function” as an example, it explores the specific application of generative artificial intelligence in high school mathematics project-based learning, offering practical references for technology-enhanced mathematics instruction.