生成式人工智能赋能高中地理项目式学习的实践探究

刘芳

地理教学 ›› 2026, Vol. 0 ›› Issue (2) : 30-34.

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地理教学 ›› 2026, Vol. 0 ›› Issue (2) : 30-34.
人工智能教育

生成式人工智能赋能高中地理项目式学习的实践探究

  • 刘芳
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A Practical Inquiry into Generative Artifi cial Intelligence Empowering Project-Based Learning in Senior High School Geography

  • Liu Fang
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摘要

生成式人工智能因操作简便、反馈精准和交互性强等特点,在教育领域引起广泛关注。本文以“南雄珠玑古巷的人口迁移”项目为例,运用“双主体三环节”框架,分析生成式人工智能助教助学的应用价值,构建生成式人工智能赋能高中地理项目式学习的实践路径,反思总结生成式人工智能赋能项目式学习的应用优势与不足。本文旨在为生成式人工智能与项目式学习深度融合提供可操作模式。

Abstract

Generative artifi cial intelligence (GAI) has garnered widespread attention in the fi eld of education due to its userfriendly operation, precise feedback, and strong interactivity. Taking the project "Population Migration in Zhuji Ancient Alley in Nanxiong" as an example, this paper employs the "dual-subject three-stage" framework to analyze the application value of GAI in assisting teaching and learning. It constructs a practical pathway for GAI to empower project-based learning in high school geography, while refl ecting on and summarizing the advantages and limitations of GAI in enhancing project-based learning. The aim is to provide an operational model for the deep integration of GAI and project-based learning.

关键词

生成式人工智能 / 高中地理 / 项目式学习 / 人口迁移

Key words

generative arti? cial intelligence / senior high school geography / project-based learning / population migration

引用本文

导出引用
刘芳. 生成式人工智能赋能高中地理项目式学习的实践探究[J]. 地理教学. 2026, 0(2): 30-34
Liu Fang. A Practical Inquiry into Generative Artifi cial Intelligence Empowering Project-Based Learning in Senior High School Geography[J]. Geography Teaching. 2026, 0(2): 30-34
中图分类号: G633.55   

基金

广东省教育科学规划2026年度中小学教师教育科研能力提升计划项目“GAI赋能中学地理项目式学习设计与实践研究”(项目编号: 2026ZQJK0377)

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