Intervención para la resolución de problemas matemáticos en el aprendizaje de estadística en estudiantes de educación secundaria de la institución educativa n°60039, Tamshiyacu, 2025
No Thumbnail Available
Date
2025-09-20
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Universidad Científica del Perú
Abstract
El estudio consistió en: verificar la efectividad de la intervención para la resolución de problemas matemáticos en el mejoramiento del aprendizaje de estadística en los estudiantes de educación secundaria de la institución educativa N°60039, Tamshiyacu. Cuantitativo preexperimental, en 127 estudiantes inscritos y una muestra de 42 estudiantes. En el análisis descriptivo, Inicialmente, el 97.6% de los estudiantes se encontraba en un nivel de aprendizaje bajo. A partir de la intervención, un 83.3 % mostró un avance hasta un nivel intermedio, mientras que un 14.3 % llegó a un nivel alto. La mediana se observa con mayor concentración de puntajes bajos, en bloque. Todos los datos permiten validar el efecto positivo que tuvo la estrategia pedagógica elaborada y puesta en práctica. En el análisis inferencial, donde se empleó el aprendizaje estadístico previo y posterior a la intervención para la resolución de problemas matemáticos, se descubrió que el valor es inferior a 0,05. Por lo tanto, se argumenta que estas distribuciones no se ajustan a una distribución normal. De esta manera, se determinó que la prueba de hipótesis para muestras apareadas o relacionadas fue la de rangos con signo de Wilcoxon para contrastar la hipótesis de la investigación. En el nivel de significancia ∞, es decir, 0.05, el porcentaje es del 5%. Valor Estadístico Zc es de - 5.649, con un valor p-valor de 0,001, lo que representa un 0,0%. A un nivel de error del 0,000%, el aprendizaje estadístico se optimiza en todas sus dimensiones mediante la intervención en la resolución de problemas matemáticos.
The study consisted of: verifying the effectiveness of the intervention for solving mathematical problems in improving the learning of statistics in secondary school students of the educational institution N°60039, Tamshiyacu. Quantitative pre-experimental, in 127 enrolled students and a sample of 42 students. In the descriptive analysis, initially, 97.6% of the students were at a low learning level. After the intervention, 83.3% showed progress to an intermediate level, while 14.3% reached a high level. The median is observed with a higher concentration of low scores, as a block. All the data allow validating the positive effect of the pedagogical strategy developed and implemented. In inferential analyses employing pre- and post-intervention statistical learning for mathematical problem solving, the value was found to be less than 0.05. Therefore, it can be concluded that these distributions do not conform to a normal distribution. Thus, the Wilcoxon signed-rank test was determined to be the appropriate hypothesis test for paired or related samples to test the research hypothesis. At the 5% significance level, the percentage is 5%. The statistical Zc value is -5.649, with a p-value of 0.001 representing 0.0%. With an error level of 0.000%, statistical learning is optimized in all dimensions through intervention in mathematical problem solving.
The study consisted of: verifying the effectiveness of the intervention for solving mathematical problems in improving the learning of statistics in secondary school students of the educational institution N°60039, Tamshiyacu. Quantitative pre-experimental, in 127 enrolled students and a sample of 42 students. In the descriptive analysis, initially, 97.6% of the students were at a low learning level. After the intervention, 83.3% showed progress to an intermediate level, while 14.3% reached a high level. The median is observed with a higher concentration of low scores, as a block. All the data allow validating the positive effect of the pedagogical strategy developed and implemented. In inferential analyses employing pre- and post-intervention statistical learning for mathematical problem solving, the value was found to be less than 0.05. Therefore, it can be concluded that these distributions do not conform to a normal distribution. Thus, the Wilcoxon signed-rank test was determined to be the appropriate hypothesis test for paired or related samples to test the research hypothesis. At the 5% significance level, the percentage is 5%. The statistical Zc value is -5.649, with a p-value of 0.001 representing 0.0%. With an error level of 0.000%, statistical learning is optimized in all dimensions through intervention in mathematical problem solving.
Description
Keywords
Resolución de problemas matemáticos, Aprendizaje de Estadística, Mathematical problem solving, Statistics learning
Citation
Collections
Endorsement
Review
Supplemented By
Referenced By
Creative Commons license
Except where otherwised noted, this item's license is described as info:eu-repo/semantics/openAccess
