Asosiy kontentga oʻtish
Maqola

Parameterization-based instruction for symmetry transformations: A quasi-experimental study of students’ intra-mathematical modeling skills

Ulugʻbek XonkulovDepartment of Mathematics, Faculty of Physics and Mathematics, Fergana State University, Fergana, UZBEKISTANAbdullah KurudirekCollege of Education, Al-Naji University, Baghdad, IRAQMaxammadjon Ro'zikovDepartment of Mathematics, Faculty of Physics and Mathematics, Fergana State University, Fergana, UZBEKISTANFabian HennigInstitute of Physics Education, Faculty of Physics and Earth System Sciences, Leipzig University, Leipzig, GERMANY
2026
ABI

Annotatsiya

This article examines the potential of the proposed didactic framework for developing students’ intra-mathematical modeling skills. The aim of the study is to develop students’ model-building abilities, generalization competencies, and general logical thinking by teaching topics related to symmetry through a parametric approach. A mixed-methods study methodology was employed, including comparative analysis and pre- and post-test, combining quantitative data from student evaluations with qualitative data gathered from interviews. The experiment was conducted with 11th-grade students of the Academic Lyceum of Fergana State University. The results indicate that parameterization is a potent method for improving generalization and modelling skills in mathematics education. It showed that the percentage of high-level modelling students in the experimental group increased from 0% to 10.7%, exhibiting statistically significant differences (χ2 = 45.755, p < .001), while the indicators at the low level decreased. Statistical analyses confirmed the effectiveness of the didactic framework based on the parameterization method. As a result of the study, an original instructional development, a system of tasks designed for teaching symmetry transformations on the basis of parameterization—was created. It underscores the necessity for educators to implement varied strategies that promote improved mathematical modeling.

Hali tarjima qilinmagan

Identifikatorlar

Iqtiboslar va manbalar