Impacto del uso de GeoGebra en el aprendizaje universitario de transformaciones lineales en geometría dinámica

This study analyzed the impact of GeoGebra software on the learning of linear transformations (LT) in a university context. A quasi-experimental, mixed-method design was adopted, working with 22 linear algebra students divided into two groups: an experimental group, which used GeoGebra during the intervention, and a control group, which used traditional methods. Diagnostic and final tests, surveys, and checklists were administered to assess both academic performance and student perception. The results indicated significant improvements in the experimental group: 100% were able to graphically represent LTs (compared to 35% of the control group) and 80% formally justified their algebraic properties (compared to 25% of the control group). Furthermore, all participants in the experimental group positively valued the software's dynamic features, particularly the simultaneous visualization and interactive manipulation of mathematical elements. It is concluded that the incorporation of dynamic geometry tools such as GeoGebra not only enhances the conceptual understanding of abstract content but also contributes to reducing math anxiety and promoting more active and meaningful learning. These findings reinforce the need to integrate interactive technologies into university mathematics teaching.

Authors

Institutions

Publication Details

Journal
Pedagogical Constellation
Published
2025-05-26
DOI
https://doi.org/10.69821/constellations.v4i1.90
Citations
1
Primary Topic
Educational theories and practices
Type
article
Field-Weighted Citation Impact
8.93
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impacto del uso de GeoGebra en el aprendizaje universitario de transformaciones lineales en geometría dinámica

Francisco González Ramírez
1 citations
Pedagogical Constellation
Educational theories and practices
8.93
article

Impacto del uso de GeoGebra en el aprendizaje universitario de transformaciones lineales en geometría dinámica

Francisco González Ramírez
article en
1 citations

Abstract

This study analyzed the impact of GeoGebra software on the learning of linear transformations (LT) in a university context. A quasi-experimental, mixed-method design was adopted, working with 22 linear algebra students divided into two groups: an experimental group, which used GeoGebra during the intervention, and a control group, which used traditional methods. Diagnostic and final tests, surveys, and checklists were administered to assess both academic performance and student perception. The results indicated significant improvements in the experimental group: 100% were able to graphically represent LTs (compared to 35% of the control group) and 80% formally justified their algebraic properties (compared to 25% of the control group). Furthermore, all participants in the experimental group positively valued the software's dynamic features, particularly the simultaneous visualization and interactive manipulation of mathematical elements. It is concluded that the incorporation of dynamic geometry tools such as GeoGebra not only enhances the conceptual understanding of abstract content but also contributes to reducing math anxiety and promoting more active and meaningful learning. These findings reinforce the need to integrate interactive technologies into university mathematics teaching.

Pedagogical ConstellationVol. 4(1)
Universidad Católica del Cibao (DO), Universidad Tecnológica del Cibao Oriental
Openalex Percentile: Top 4%
Educational theories and practices
8.93
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.