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This paper introduces the Geography Learning Assistant (GLA), a conversational tutoring system that integrates a Large Language Model (LLM) with Google Maps to support interactive and visually enriched geography learning. GLA allows users to ask questions or click on map locations, receiving informative responses tailored to geographic content. An experiment with university students demonstrated that GLA significantly outperforms traditional learning methods, with the experimental group showing notable improvement in post-test scores (p = 0.002). These findings highlight the potential of combining LLMs with geospatial tools to enhance personalized, dialogue-based education.

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A Conversational Geography Tutor Utilizing Google Maps and LLMs

  • 会议论文

  • 发表日期：

    2026年

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  • Ioannis Filippidis,
  • Lefteris Moussiades

摘要

This paper introduces the Geography Learning Assistant (GLA), a conversational tutoring system that integrates a Large Language Model (LLM) with Google Maps to support interactive and visually enriched geography learning. GLA allows users to ask questions or click on map locations, receiving informative responses tailored to geographic content. An experiment with university students demonstrated that GLA significantly outperforms traditional learning methods, with the experimental group showing notable improvement in post-test scores (p = 0.002). These findings highlight the potential of combining LLMs with geospatial tools to enhance personalized, dialogue-based education.