The role of AI in transforming education in spatial data science

Abstract

Rapid advancements in Artificial Intelligence (AI) are revolutionising education, particularly within Geomatics fields such as land surveying, remote sensing, and Geographic Information Systems (GIS). This work explores the integration of AI tools into educational frameworks to enhance spatial understanding, data analysis, and immersive learning. We introduce GeoAI Mentor, an intelligent tutoring system powered by the GeoDataGPT engine, which integrates Large Language Models (LLMs) with dynamic knowledge graphs and Retrieval-Augmented Generation (RAG). Functioning as a 24/7 intelligent partner, the system provides personalised guidance, equipping students with essential skills in geospatial processing and predictive modelling. Pilot evaluations using Hong Kong scenarios demonstrate that GeoAI Mentor effectively dismantles technical barriers by achieving high-precision semantic retrieval and automating complex multi-step spatial reasoning. By bypassing the steep learning curve of software syntax, this approach reallocates cognitive resources toward higher-order analytical intent, preparing graduates for the complexities of modern geospatial industries and the demands of the digital era.