Enhancing Linear Algebra Learning through Computational Thinking: A Project-Based Approach
DOI:
https://doi.org/10.55420/2693.9193.v13.n2.129Palabras clave:
pensamiento computacional, educación, matemáticas, algoritmo, codificación, abstracción, descomposición, depuración, reconocimiento de patronesResumen
Este artiículo analiza la integración de conceptos de pensamiento computacional, incluidos algoritmos, codificación, abstracción, descomposición, depuración y reconocimiento de patrones, en un curso de a?lgebra lineal en un colegio comunitario en el oton?o de 2022. A trave?s de la implementacio?n del aprendizaje basado en proyectos (PBL ), nuestro objetivo fue mejorar la comprensio?n de los estudiantes de los temas de a?lgebra lineal mientras los familiariza?bamos con los conceptos esenciales del pensamiento computacional. Una pre y una posprueba evaluaron la familiaridad de los estudiantes con los conceptos. Los resultados indicaron una mejora significativa en la comprensio?n de los conceptos de los estudiantes de pensamiento computacional y su aplicacio?n en a?lgebra lineal.
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