Destrezas académicas y velocidad de procesamiento. Modelos predictivos del rendimiento escolar en básica primaria / Academic skills and processing speed. Predictive models of school achievement in primary school

Resumen El modelo de inteligencia de Cattell-Horn-Carroll (CHC) propone que los procesos cognitivos que componen la inteligencia pueden conceptualizarse como habilidades específicas, implicadas en tareas particulares, y habilidades generales, relacionadas con una amplia cantidad de contextos. Entre las habilidades más estudiadas bajo este modelo se encuentra la velocidad de procesamiento, identificada como uno de los mejores predictores del rendimiento académico y de la capacidad cognitiva general. En este artículo se presentan los resultados del análisis de la relación entre la velocidad de procesamiento y rendimiento académico general. Se evaluó una muestra de 223 estudiantes (53% mujeres) de Preescolar y básica primaria. Los resultados muestran una diferencia en la capacidad predictiva del componente perceptual (β =.76, p < .001) y conceptual (β =.09; p = .121) de la velocidad de procesamiento en procesos académicos básicos de lectura y matemática, así como ajustes similares en modelos de regresión a partir de su conceptualización como habilidad general (R2 = .68) o específica (R2 = .69). El análisis de la relación grado a grado mostró cambios en la capacidad predictiva de la velocidad de procesamiento sobre las habilidades académicas conforme avanza el proceso educativo, apoyando modelos previamente establecidos en el área (Cai, Li & Deng, 2013; Demetriou, Spanodius & Shayer, 2014). Finalmente, es generó un modelo de ecuaciones estructurales (X 2=1.431; p=.232; CFI=1.000; TLI=.999; NFI=.999; RFI=.996; RMSEA=.044) que permitió probar el ajuste de los modelos propuestos a los datos.

Abstract The Cattell-Horn-Carroll (CHC) intelligence model proposes that the cognitive processes that make up intelligence can be conceptualized as specific skills, involved in particular tasks, and general skills, related to a wide variety of contexts. Among the most studied skills under this model is the speed of processing, identified as one of the best predictors of academic performance and general cognitive ability. This article presents the results of the analysis of the relationship between processing speed and general academic performance. A sample of 223 students (53% women) of preschool and primary school was evaluated. The results show a difference in the predictive capacity of the perceptual component (β = .76, p < .001) and conceptual (β = .09; p = .121) of the processing speed in basic academic processes of reading and mathematics, as well as similar adjustments in regression models from their conceptualization as general (R 2 = .68) or specific (R 2 = .69) ability. The analysis of the grade-to-grade relationship showed changes in the predictive capacity of processing speed over academic skills as the educational process progresses, supporting previously established models in the area (Cai, Li & Deng, 2013; Demetriou, Spanodius & Shayer, 2014). Finally, a model of structural equations (X 2 = 1.431, p = .232, CFI = 1.000, TLI = .999, NFI = .999, RFI = .996, RMSEA = .044) was used to prove the adjustment of the proposed models to data.

O uso de medidas intelectuais na análise do monitoramento metacognitivo de crianças / The use of intellectual measures in the analysis of metacognitive monitoring of children

O monitoramento metacognitivo é uma das habilidades compreendidas pela metacognição. É avaliado utilizando-se instrumentos de autorrelato ou pela formulação de julgamentos. O objetivo do presente estudo foi investigar o monitoramento metacognitivo de crianças durante a realização de três subtestes de uma bateria de inteligência, cujo referencial é o Modelo Cattell-Horn-Carroll. Os participantes responderam aos subtestes e foram solicitados a emitir estimativas sobre seu desempenho. Os resultados indicaram que a amostra já apresentava habilidades de monitoramento cognitivo e algumas medidas de monitoramento mostraram-se significativamente melhores para o subteste Desempenho em Matemática. Os dados são relevantes para confirmar, na população nacional, as informações da literatura internacional, e também para discutir a importância do incentivo e estímulo ao treinamento das habilidades metacognitivas.

Metacognitive monitoring is one component of metacognition. It is assessed either through self-report instruments or judgments. The aim of the present study was to investigate metacognitive monitoring of children during the execution of three subtests of an intelligence battery, based on the Cattell-Horn-Carroll intelligence model. Participants answered the subtests and were asked to estimate their performance. Results indicate that participants already had metacognitive abilities in their repertoire, and some monitoring measures were significantly better for the subtest Performance on Mathematics. The data of this study are relevant in confirming information from the international literature using a Brazilian sample, and in discussing the importance of incentives for metacognitive training.