From Spatial Thinking to Intelligent Learning: The Role of Artificial Intelligence in Future Geography Education

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Maulida Rahmawati
Armin Subhani

Abstract

The rapid advancement of artificial intelligence (AI) has profoundly influenced educational systems, including geography education, which is inherently grounded in spatial thinking, geospatial analysis, and inquiry based learning. This study aims to conceptualize the role of AI in shaping the future of geography education through a systematic literature review and conceptual synthesis of 29 peer reviewed international studies published between 2018 and 2025. Drawing on research from education, geography, and artificial intelligence, the study examines how AI transforms learning processes, pedagogical roles, and assessment practices in geography education. The findings reveal that AI functions as an epistemic and pedagogical agent that enhances spatial reasoning, supports adaptive and personalized learning pathways, and enables data informed instructional decision making. AI driven technologies such as GeoAI, intelligent tutoring systems, and learning analytics facilitate deeper engagement with complex spatial phenomena and accommodate individual differences in learners’ spatial abilities. Furthermore, the synthesis highlights a shift in the role of geography educators toward learning designers and facilitators of inquiry, supported by AI enabled formative assessment and real time feedback. Despite these opportunities, ethical challenges related to data privacy, algorithmic bias, and equitable access remain critical concerns that must be addressed through human centered and theory driven implementation. This study contributes a future oriented conceptual framework that positions AI as a catalyst for transforming geography education toward more intelligent, adaptive, and ethically grounded learning environments. The findings offer implications for curriculum development, teacher education, and educational policy, while also outlining directions for future empirical and interdisciplinary research on AI enhanced geography learning.

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