Exploring the application potential of generative artificial intelligence in high school geography teaching: Scenarios, limitations, and improvement strategies

Binglin Liu, Weijiang Liu, Weijia Zeng and Yi Peng

The Journal of Educational Research, 2025, vol. 118, issue 6, 674-687

Abstract: This study takes the application of generative artificial intelligence technology in high school geography teaching as the research object, aiming to explore its value, limitations and improvement strategies. The study first compares and analyzes the mainstream generative AI systems in China and the United States, and then explains the value of generative artificial intelligence in high school geography education in terms of personalized and adaptive learning, visualization and program simulation, feedback and evaluation efficiency. At the same time, its limitations in content accuracy, student dependence, ethical privacy, and technical fairness are also identified. In order to solve these problems, this paper proposes strategies such as enhancing AI accuracy, strengthening teacher training, solving ethical and privacy issues, and integrating multidisciplinary methods. Generative artificial intelligence has great application potential in high school geography teaching, but its development still needs to be optimized and improved in many aspects.

Date: 2025
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DOI: 10.1080/00220671.2025.2510396

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