Enhancing Statistical Learning and Problem Solving through the Use of GeoGebra

This study explores the integration of the GeoGebra application into statistical learning and its effectiveness in supporting problem-solving processes. GeoGebra serves not only as a computational tool but also as a pedagogical medium that fosters conceptual understanding, visualization, and interactive demonstrations. Through its dynamic and visual features, GeoGebra enables lecturers and students to engage in deeper discussions of statistical topics, thereby strengthening the comprehension of fundamental concepts. Several interactive applets were designed to facilitate learning on topics such as data processing, discrete and continuous probability distributions, and hypothesis testing. Examples include an applet for the Z-test of a single mean and a visualization of the area under the F-distribution curve. The slider function in GeoGebra provides flexibility for dynamically adjusting parameters that are directly linked to graphical representations, helping students to intuitively grasp abstract statistical ideas. By transforming abstract statistical concepts into interactive visual forms, GeoGebra contributes to a more meaningful learning experience. Moreover, the integration of GeoGebra in the classroom opens new opportunities for action research focused on enhancing students’ conceptual understanding and developing innovative, technology-based learning strategies. The findings underscore that GeoGebra can be effectively utilized as a bridge between theoretical and applied statistics, promoting active learning and deeper engagement among students in higher education settings.