Desarrollo de habilidades lógico-matemáticas a través del uso de simulaciones en lenguaje de programación Python para el modelado de funciones matemáticas en estudiantes de en la unidad educativa Hope Christian Academy.

Abstract

Abstract: This study strengthened critical thinking and logical mathematical skills in high school students by using Python simulators to model mathematical functions. A mixed method, quasi experimental single group design was employed, with pretests and posttest measurements joined qualitative analysis. The sample comprised 40 students from grades 1st, 2nd, 3rd of bachelor at "Hope Christian Academy" over 20 weeks, combining linear and quadratic functions with Python and generative AI tools. Instruments included a 16-item Likert-scale questionnaire (&#945;=0.921), pre-post tests, and interviews. Results showed a significant performance improvement (+1.24 points, t(39)=6.39, p<0.001, d=1.01). Motivation was favorable (M=3.31/5), with technological tools standing out (M=3.87/5). Kruskal-Wallis revealed no significant differences across grades. Qualitative analysis revealed algorithmic decomposition, persistence in debugging, and symbolic-graphical connections. It is concluded that Python simulators enhance performance and motivation. Thematic personalization and technology integration were key educational factors. It is recommended to incorporate programming into the mathematics curriculum.