Innovative GIS Software Application Courses for Sustainable Education: Integrating Large Language Models and AI Agents

Ge Shi; Chuang Chen; Chanfang Shu

doi:10.62177/jetp.v2i3.532

Authors

Ge Shi Nanjing Tech University
Chuang Chen Nanjing Tech University
Chanfang Shu Nanjing Tech University

DOI:

https://doi.org/10.62177/jetp.v2i3.532

Keywords:

Large Language Models, GIS Software Application, Course Design, AI Agents, Teaching Innovation

Abstract

With the rapid development of artificial intelligence technology, the field of education is undergoing profound changes. Geography, as a highly integrative and practical discipline, involves extensive spatial data analysis and visualization operations in its teaching process. Traditional teaching models are insufficient in meeting the personalized learning needs of students. To address this challenge and promote sustainable practices in teacher education, this study takes the course "GIS Software Application" as the foundation and integrates advanced artificial intelligence technologies, particularly large language models (LLM) and AI agents, to construct an innovative teaching system. By leveraging the powerful generative capabilities of LLM, the system generates a variety of teaching resources, such as texts, images, and videos, to enrich teaching content and cater to the diverse learning needs of students. Meanwhile, AI agents provide personalized learning path planning, real-time Q&A, and learning effect assessment services during the teaching process, thereby significantly enhancing teaching efficiency and quality. Focusing on the design of GIS software application courses based on LLM and AI agents, this study offers a practical example for the intelligent transformation of geography education. It contributes to promoting the innovative development of geography education in the era of artificial intelligence and accelerating the modernization of geography education. This approach not only enhances the educational experience but also fosters a new generation of educators equipped with sustainable practices and digital technologies.

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