Aprender a transformar: inteligencia artificial y proyectos transversales para valores y conciencia ambiental en la educación rural
DOI:
https://doi.org/10.65415/fan60r98Palabras clave:
alfabetización en IA; competencia para la sostenibilidad; escuela multigrado; conducta proambiental; innovación pedagógica; saberes locales.Resumen
La integración de inteligencia artificial (IA), educación ambiental y proyectos transversales plantea oportunidades pedagógicas que adquieren rasgos particulares en escuelas rurales, donde las brechas de conectividad, la disponibilidad de dispositivos, la formación docente y la pertinencia cultural condicionan cualquier innovación. El objetivo de esta revisión fue analizar bajo qué condiciones pedagógicas, tecnológicas y contextuales la IA y los proyectos transversales pueden contribuir al desarrollo de valores y conciencia ambiental en educación básica y media rural. Se adoptó un enfoque cualitativo, de tipo documental-bibliográfico, desarrollado mediante revisión integradora de literatura y análisis cualitativo de contenido. La búsqueda principal se efectuó entre enero y marzo de 2025 en Scopus, Web of Science Core Collection, ERIC, SciELO Citation Index y PubMed, complementada con rastreo manual; se identificaron 847 registros y se incluyeron 62 documentos. En septiembre de 2026 se realizó una actualización de vigilancia bibliográfica destinada a verificar referencias y contextualizar desarrollos recientes, sin alterar retrospectivamente el corpus principal ni sus conteos PRISMA. La codificación fue mixta: cuatro categorías iniciales derivadas de la pregunta de investigación se refinaron mediante subcategorías emergentes durante la lectura comparativa. Los hallazgos muestran convergencias en torno a la mediación docente, el aprendizaje basado en proyectos vinculados con problemas locales, la participación comunitaria y el uso de tecnologías adaptadas a condiciones de baja conectividad. La evidencia directa sobre la combinación simultánea de IA, transversalidad curricular, valores ambientales y ruralidad sigue siendo limitada. Se propone un modelo relacional que sitúa la IA como mediación subordinada a objetivos pedagógicos, ambientales y comunitarios, y se delinean prioridades para investigación longitudinal, co-diseño con comunidades rurales, protección de datos de menores y desarrollo de soluciones de bajo consumo tecnológico.
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Derechos de autor 2026 Luz Amelia Rodríguez Parra , Diana Marcela Alvarez Forero , Frans Andrés Recalde García
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
