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Revisión de los Cambios Relacionados con la Edad en el Aprendizaje Estadístico: La Importancia de la Evidencia
Dezső Németh1,2,3, Eszter Tóth-Fáber4,5, Bence Farkas6,7
1Centre de Recherche en Neurosciences de Lyon CRNL U1028 UMR5292, INSERM, CNRS, Université Claude Bernard Lyon 1.
Cognitive science
|January 22, 2026
Resumen
El aprendizaje estadístico (AE) implícito disminuye durante la infancia, contrariamente a afirmaciones previas. Las diferencias individuales en las funciones ejecutivas predicen estas trayectorias de desarrollo, destacando la maduración.
Área de la Ciencia:
- Psicología del Desarrollo; Ciencias Cognitivas; Neurociencia
Sus antecedentes:
- Investigaciones previas sugirieron que el aprendizaje estadístico (AE) implícito es estable en la primera infancia.
- Un estudio transversal reciente citó datos longitudinales para respaldar esta estabilidad.
- Esta interpretación de los hallazgos longitudinales requiere aclaración.
Objetivo del estudio:
- Investigar longitudinalmente la trayectoria de desarrollo del aprendizaje estadístico (AE) implícito desde los 7 hasta los 14 años.
- Examinar la relación entre las funciones ejecutivas y el desarrollo individual del AE.
- Aclarar el impacto del diseño de la investigación en los patrones de desarrollo observados.
Principales métodos:
- Estudio longitudinal que siguió a los mismos individuos desde los 7 hasta los 14 años.
- Evaluación del aprendizaje estadístico visual (AE) implícito en múltiples momentos.
- Medición de las funciones ejecutivas a los 14 años para predecir las trayectorias del AE.
Principales resultados:
- Se demostró una disminución evolutiva fiable en el AE implícito en el rango de edad estudiado.
- Se observó una variabilidad interindividual sustancial en el desarrollo del AE.
- Las funciones ejecutivas a los 14 años predijeron las trayectorias de desarrollo individuales del AE.
Conclusiones:
- El AE implícito no es estable, sino que muestra una disminución evolutiva a lo largo de la infancia y la adolescencia.
- Las funciones ejecutivas desempeñan un papel en la maduración de los sistemas de AE.
- Los diseños longitudinales y las medidas puras de procesos son cruciales para una investigación evolutiva precisa.
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