Synthesis of Modeling, Visualization, and Programming in GeoGebra as an Effective Approach for Teaching and Learning STEM Topics
Rushan Ziatdinov, James R. Valles Jr

TL;DR
This paper explores how GeoGebra's integration of modeling, visualization, and programming enhances interactive, collaborative learning in STEM education, improving students' understanding of advanced mathematical topics.
Contribution
It demonstrates the effectiveness of GeoGebra's MVP features in teaching complex STEM subjects and provides a detailed analysis of its application across various mathematical courses.
Findings
GeoGebra improves engagement and understanding in STEM learning.
MVP features facilitate interactive and collaborative education.
Effective in teaching advanced mathematical concepts.
Abstract
GeoGebra is an interactive geometry, algebra, statistics, and calculus application designed for teaching and learn-ing math, science, and engineering. Its dynamic interface allows its users to accurately and interactively visualize their work, models, and results. GeoGebra employs the synthesis of three key features: modeling, visualization, and programming (MVP). Many studies have shown the positive effects of GeoGebra on the efficiency and effectiveness of learning and teaching topics related to science, technology, engineering, and mathematics. In this study, we dis-cuss how GeoGebra provides an environment for learning that is very interactive and collaborative between the learner and the instructor. We also show how integrating GeoGebra into the learning scheme can help improve the skills and knowledge of school and university students in numerous advanced mathematical courses,…
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