La Nueva Taxonomía del Aprendizaje con Inteligencia Artificial
Palabras clave:
inteligencia artificial, aprendizaje, cognición, tecnología educacional, evaluación de la educaciónSinopsis
La Nueva Taxonomía del Aprendizaje con IA propone una reinterpretación crítica de Bloom y de otros modelos cognitivos ante la incorporación de inteligencia artificial generativa en la educación. La obra examina la transformación de operaciones como recordar, comprender, aplicar, analizar, evaluar y crear cuando estudiantes y sistemas algorítmicos participan conjuntamente en la producción, revisión y validación del conocimiento. Desde una perspectiva interdisciplinaria, articula aportes de la psicología cognitiva, la pedagogía, la metacognición y la cognición distribuida para distinguir pensamiento autónomo, cognición aumentada, interacción dialógica, delegación algorítmica, supervisión epistémica y regulación metagenerativa. El argumento central desplaza la atención desde la ejecución observable hacia la arquitectura intelectual que sostiene cada desempeño. También examina la descarga cognitiva, la agencia del estudiante, la verificación de contenidos sintéticos y la fricción cognitiva deliberada como variables para diseñar experiencias formativas. A partir de dicha reformulación, el libro plantea criterios para construir resultados de aprendizaje, actividades, rúbricas y evaluaciones capaces de diferenciar producción automatizada, coautoría humano-máquina y dominio intelectual verificable. La propuesta culmina en una matriz multidimensional que relaciona complejidad cognitiva, autonomía, mediación algorítmica, responsabilidad epistémica, transferencia y evidencia, ofreciendo un lenguaje renovado para investigar, diseñar y evaluar el aprendizaje universitario contemporáneo en ecosistemas educativos mediados digitalmente.
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