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

Liu Fang

Geography Teaching ›› 2026, Vol. 0 ›› Issue (2) : 30-34.

Welcome to visit Geography Teaching,
Geography Teaching ›› 2026, Vol. 0 ›› Issue (2) : 30-34.

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

  • Liu Fang
Author information +
History +

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.

Key words

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

Cite this article

Download Citations
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

Accesses

Citation

Detail

Sections
Recommended

/