EL APRENDIZAJE DE MATEMÁTICA CON HERRAMIENTA COMPUTACIONAL EN EL MARCO DE LA TEORÍA DE LOS ESTILOS DE APRENDIZAJE
DOI:
https://doi.org/10.55777/rea.v1i1.863Keywords:
Matemática. Herramientas CAS. Estilos de AprendizajeAbstract
Resumen: El trabajo que se presenta abarca un período de cinco años, en el que se lleva a cabo una investigación sistemática en grupos de alumnos del primer año de la Facultad de Ciencias Económicas y Estadística de la Universidad Nacional de Rosario, considerando una población de análisis de más de 1000 alumnos del primer curso de Matemática. El objetivo es analizar el rendimiento del aprendizaje, con la utilización de herramientas CAS (Computer Algebraic System) y su relación con los Estilos de Aprendizaje, según la concepción de Honey-Alonso. Se sintetizan, en esta presentación, las fases relativas a la observación orientada a las modalidades de trabajo en el Laboratorio de Computación, de la que surgen en forma natural los diferentes estilos ( “activo”, “reflexivo”, “teórico” y “pragmático”) y la utilización de las herramientas computacionales, adecuada a las predominancias puestas de manifiesto, Se concluye que, en el contexto descrito, la consideración de estos aspectos en la enseñanza mejora el rendimiento académico en temas de Álgebra Lineal y potencia los procesos propiamente matemáticos de reflexión y abstracción.
Mathematics learning with computational tool in the mark of the theory of the learning styles
Abstract: the submitted work covers a five-year period of a systematic investigation of groups of first grade students of the (Facultad de Ciencias Económicas y Estadística de la Universidad Nacional de Rosario) Faculty of Economic Sciences and Statistics of the National University of Rosario, considering an analysis population of over 1000 first grade students of Mathematics. The goal is to analyze the learning performance using CAS tools (Computer Algebraic System) and its relation with the Learning Styles, according to the conception of Honey-Alonso. This presentation synthesizes the stages related to the observation oriented to the work modalities in the Computer Laboratory, from which the different styles (“active”, “reflective”, “theoric” and “pragmatic”) naturally emerge, and the use of computer tools adapted to the stated predominations. We conclude that, in the context we have described, the consideration of these aspects in teaching improves the academic performance of Linear Algebra topics and promotes the properly mathematical processes of reflection and abstraction.
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