Ecosistema híbrido inteligente para la enseñanza de Ciencias Naturales: un modelo integrador de metodologías activas, IA y regulación emocional
DOI:
https://doi.org/10.55204/trc.v6i1.e588Keywords:
aprendizaje híbrido; inteligencia artificial educativa; metodologías activas; regulación emocional; enseñanza de ciencias; analítica de aprendizaje; innovación educativa.Abstract
El presente estudio tuvo como objetivo diseñar y validar un ecosistema híbrido inteligente para la enseñanza de Ciencias Naturales, fundamentado en la integración de metodologías activas, inteligencia artificial (IA) y estrategias de regulación emocional. Bajo un enfoque metodológico mixto con diseño cuasi-experimental, se implementó una intervención pedagógica en educación básica que articuló indagación científica guiada, retroalimentación adaptativa meditivo reveló mayor compromiso, percepción de personalización y persistencia ante tareas de alta demanda cognitiva. Estos hallazgos confirman que la efectividad de los entornos híbridos no depende exclusivamente del componente tecnológico, sino de la coherencia sistémica entre diseño pedagógico, mediación docente y soporte socioemocional. El modelo propuesto aporta un marco replicable que integra dimensiones cognitivas, tecnológicas y afectivas en un ecosistema educativo estructurado, ético y centrado en el aprendizaje. Se concluye que la incorporación estratégica de IA y regulación emocional en la enseñanza de Ciencias Naturales fortalece la comprensión conceptual, la autonomía estudiantil y la sostenibilidad del aprendizaje en contextos híbridos contemporáneos.
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