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Impact of using GeoGebra on learning linear functions: Correlational evidence from a pedagogical innovation approach in Cañete (#492)

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Date of Conference

July 15-17, 2026

Published In

"Engineering without Borders: Artificial Intelligence, Knowledge, Innovation, and Alliances for a Future from the Americas"

Location of Conference

Santiago (Chile)

Authors

Farfán García, José

Ruiz Salazar, Jenny Maria

Cruzado Quispe, Ever Franklin

Farfán Aguilar, José Antonio

Cámac Tiza, María Maura

Mendoza Delgado, María Teresa Del Carmen

Garrido Huaylinos, Luisa Rosario

Abstract

The research aimed to determine the relationship between the use of GeoGebra software and academic performance in linear functions of students at the I.E. Evariste Galois, Ca˜ nete, in 2025. It was structured in eight parts. The first part presented the problem and objectives; Part 2 addressed the theoretical framework with foundations on GeoGebra and academic performance. Part 3 formulated hypotheses and variables, and Part 4 detailed the methodological design, sample, and instruments. Part 5 presented the descriptive and inferential results; Part 6 discussed these results, highlighting a very strong positive correlation between the variables, with Spearman’s Rho coefficients between 0.900 and 1.000 and a p-value > 0.05. Finally, Part 7 presented the conclusions of the study, and Part 8 formulated recommendations aimed at integrating technology into the teaching of linear functions.

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