Inteligencia artificial y su incidencia en la estrategia metodológica de aprendizaje basado en investigación
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https://doi.org/10.55813/gaea/jessr/v4/n2/106Palabras clave:
Inteligencia artificial, Aprendizaje, Investigación, Tecnología educativaResumen
Este estudio examina la influencia de la inteligencia artificial (IA) en el aprendizaje basado en investigación (ABI), destacando tanto sus beneficios potenciales como los desafíos asociados. Utilizando un enfoque cualitativo de revisión bibliográfica, se analizaron artículos académicos recientes para evaluar cómo la IA está transformando las estrategias metodológicas del ABI. Los resultados muestran que la IA puede significativamente personalizar el aprendizaje, automatizar tareas administrativas y de investigación, y mejorar los procesos de retroalimentación y evaluación. Sin embargo, estas ventajas vienen acompañadas de desafíos sustanciales, como limitaciones tecnológicas, necesidades de capacitación docente y cuestiones éticas y sociales profundas. La discusión subraya cómo la IA está redefiniendo los roles en la educación, cambiando la función del docente de un transmisor de conocimiento a un facilitador del aprendizaje, y cómo esto requiere un enfoque pedagógico adaptativo y reflexivo. Además, se resalta la necesidad de abordar las implicaciones éticas de la IA para asegurar que su integración fomente una educación equitativa y respetuosa de la privacidad y autonomía de los estudiantes. Se enfatiza que, aunque la IA ofrece oportunidades notables para mejorar el ABI, su implementación debe ser meticulosamente gestionada para optimizar los beneficios y minimizar los riesgos.
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Derechos de autor 2024 Piedra-Castro, Wilson Iván, Burbano-Buñay, Erika Silvana, Tamayo-Verdezoto, Jhonny Junior, Moreira-Alcívar, Elvin Fray
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