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◆ Revista Interdisciplinaria de Ciencias de la Educación Salud y Sociología (RICESO)2026-05-25· Contextualization

Geo-inteligencia Local: Modelo Pedagógico para transformar la enseñanza de Geografía utilizando Inteligencia Artificial y la localidad como recurso didáctico en la escuela<b></b>

María Milagros De León De Los Santos

原始摘要(英文原文)· Original abstract
Teaching involves the use of active methodologies with relevant resources that contribute to improving the teaching and learning process. Therefore, technology is a key resource, and teachers must adapt to these changing times in their work. This article aims to propose and substantiate a pedagogical model for transforming Geography teaching using Artificial Intelligence (AI) and local context as a didactic resource in the second cycle of primary schools. This study employed a mixed-methods approach. It involved 20 Social Studies teachers who teach Geography in schools within the REDIC1701-NP06 network. Data collection techniques included structured observation and interviews. The results reveal concerning weaknesses in the contextualization of geographical learning and a gap in the development of geographical competencies and skills. In this regard, the study concluded that there is a significant paradox in the integration of Artificial Intelligence into Geography education: while technological adoption reaches optimal levels of incorporation and use as a teaching aid, the development of digital critical thinking presents a worrying deficit because the critical use of AI-generated information is minimally promoted. Therefore, a pedagogical model is needed in which AI acts as a co-pilot, not the protagonist, of learning.
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Geo-inteligencia Local: Modelo Pedagógico para transformar la enseñanza de Geografía utilizando Inteligencia Artificial y la localidad como recurso didáctico en la escuela<b></b> — 科研速览 Science Skim