Inteligencia Artificial Generativa en la Educación: Transformación del aprendizaje, la evaluación y la ética académica

Autores/as

DOI:

https://doi.org/10.70577/cieninter.v4i3.131

Palabras clave:

inteligencia artificial generativa, IA agentiva, educación superior, evaluación educativa, ética académica, aprendizaje personalizado, integridad académica, gobernanza institucional, alfabetización algorítmica.

Resumen

Los resultados revelan que la IAG potencia la personalización del aprendizaje, la retroalimentación inmediata y el acceso democratizado al conocimiento; no obstante, introduce desafíos críticos en la evaluación auténtica, la propiedad intelectual y la equidad digital. Se identifican cinco dimensiones de transformación: (1) pedagogía adaptativa mediada por IAG, (2) reconfiguración de los instrumentos evaluativos, (3) nuevos paradigmas de ética académica, (4) brechas de acceso y alfabetización algorítmica, y (5) la emergencia de la IA agentiva y la gobernanza institucional. La evidencia más reciente muestra que el uso estudiantil de IAG pasó de una adopción emergente (alrededor del 50 % en 2023) a una situación de práctica universalidad (92-95 % en el Reino Unido y cifras similares en Estados Unidos hacia 2026), lo que ha desplazado el debate institucional de la detección hacia el diseño de evaluaciones resilientes y la 'fluidez en IA' como resultado de aprendizaje. El estudio concluye que la integración efectiva de la IAG en la educación superior requiere marcos regulatorios flexibles y actualizables, desarrollo de competencias críticas en estudiantes y docentes, y el diseño de evaluaciones auténticas centradas en procesos cognitivos de orden superior. Se propone un Modelo de Gobernanza Educativa de la IAG (MGE-IAG), ampliado en esta edición con un quinto subsistema agentivo, para orientar políticas institucionales y prácticas pedagógicas en el contexto posdigital.

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Citas

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Publicado

2026-09-17

Cómo citar

Cabezas Reyes, A. T., Fiallos Sánchez, M. A., Vizcaíno Zúñiga, P. I., Maldonado Palacios, I. A., & Maldonado Palacios, G. M. (2026). Inteligencia Artificial Generativa en la Educación: Transformación del aprendizaje, la evaluación y la ética académica. Ciencia Interdisciplinaria Internacional, 4(3), 1192–1216. https://doi.org/10.70577/cieninter.v4i3.131

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