Geogebra Program in the learning of mathematics of engineering students
DOI:
https://doi.org/10.5281/zenodo.14693204Keywords:
strategy, geogebra, mathematicsAbstract
This study investigated the effectiveness of the GeoGebra program in the learning of mathematics in engineering students. The main objective was to determine whether the use of GeoGebra as a support tool in the teaching of mathematical concepts improves the academic performance and conceptual understanding of engineering students. For this purpose, a quasi-experimental research design was implemented with two groups of students: one that used GeoGebra and one that did not. A pretest and a posttest were applied to measure the level of mathematical knowledge of both groups. The results showed that the group that used GeoGebra obtained significantly higher scores on the posttest, suggesting an improvement in their academic performance. Students who used GeoGebra demonstrated a greater conceptual understanding of mathematical topics, evidencing the usefulness of the tool for visualization and experimentation. To delve deeper into the topic, comprehensive scientific research was conducted, which included a descriptive and systematic review of studies published in indexed journals from 2019 to date. The selection of these studies was carried out through renowned search platforms, such as Scopus, SciElo, Redalyc, ProQuest, Latindex, among other recognized databases. In conclusion, the study concludes that the use of GeoGebra as support software in the teaching and learning of mathematics in engineering students contributes to improve their academic performance and conceptual understanding.
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Albano, G., y Dello Iacono, U. (2019). GeoGebra in e-learning environments: a possible integration in mathematics and beyond. Journal of Ambient Intelligence and Humanized Computing, 10(11), 4331–4343. https://doi.org/10.1007/s12652-018-1111-x
Alvarez-Matute, J. F., Garcia-Herrera, D. G., Erazo-Álvarez, C. A., y Erazo-Álvarez, J. C. (2020). GeoGebra como estrategia de enseñanza de la Matemática. EPISTEME KOINONIA, 3(6), 211. https://doi.org/10.35381/e.k.v3i6.827
Baye, M. G., Ayele, M. A., y Wondimuneh, T. E. (2021). Implementing GeoGebra integrated with multi-teaching approaches guided by the APOS theory to enhance students’ conceptual understanding of limit in Ethiopian Universities. Heliyon, 7(5), e07012. https://doi.org/10.1016/j.heliyon.2021.e07012
Carvajal Morales, J. M., Carvajal Morales, D. M., Guaña Moya, J., y Mendoza Zambrano, K. A. (2022). La educación y los entornos virtuales de aprendizaje. AlfaPublicaciones, 4(1.2), 78–90. https://doi.org/10.33262/ap.v4i1.2.186
Fernández Bedoya, V. H. (2020). Tipos de justificación en la investigación científica. Espíritu Emprendedor TES, 4(3), 65–76. https://doi.org/10.33970/eetes.v4.n3.2020.207
Gallardo, E. (2017). Metodología de la Investigación. Manual Autoformativo Interactivo I. Ediciones Universidad Continental, 1, 98. https://repositorio.continental.edu.pe/handle/20.500.12394/4278
Huber, G., Gürtler, L., y Gento Palacios, S. (2018). La aportación de la estadística exploratoria al análisis de datos cualitativos. Perspectiva Educacional, 57(1). https://doi.org/10.4151/07189729-Vol.57-Iss.1-Art.611
López Rengifo, C. F., Chanca Pérez, E., y Esteban Rivera, E. R. (2023). Optimización de funciones con derivadas en aula invertida: estudio a través de múltiples estrategias didácticas. Praxis Educativa, 18, 1–17. https://doi.org/10.5212/PraxEduc.v.18.21394.019
Manco-Chavez, J. A., Uribe-Hernandez, Y. C., Buendia-Aparcana, R., Vertiz-Osores, J. J., Isla Alcoser, S. D., y Rengifo-Lozano, R. A. (2020). Integration of ICTS and Digital Skills in Times of the Pandemic Covid-19. International Journal of Higher Education, 9(9), 11. https://doi.org/10.5430/ijhe.v9n9p11
Molinero Bárcenas, M. del C., y Chávez Morales, U. (2019). Herramientas tecnológicas en el proceso de enseñanza-aprendizaje en estudiantes de educación superior. RIDE Revista Iberoamericana Para La Investigación y El Desarrollo Educativo, 10(19). https://doi.org/10.23913/ride.v10i19.494
Ocaña-Fernández, Y., Valenzuela-Fernández, L., y Morillo-Flores, J. (2020). La competencia digital en el docente universitario. Propósitos y Representaciones, 8(1). https://doi.org/10.20511/pyr2020.v8n1.455
Ortega-Sánchez, D., Gómez-Trigueros, I. M., Trestini, M., y Pérez-González, C. (2020). Self-Perception and Training Perceptions on Teacher Digital Competence (TDC) in Spanish and French University Students. Multimodal Technologies and Interaction, 4(4), 74. https://doi.org/10.3390/mti4040074
Osores, J. J. V. (2020). Virtual university education in the context of the health emergency due to COVID-19: Challenges in the evaluation processes. International Journal of Early Childhood Special Education, 12(1), 467–477. https://doi.org/10.9756/INT-JECSE/V12I1.201027
Peña Casa, M., Urure Tejada, L. G., y Dominguez Pillaca, D. (2023). Programa visualización gráfica con GeoGebra para estudiantes de ingeniería. Revista de Climatología, 23, 3922–3930. https://doi.org/10.59427/rcli/2023/v23cs.3922-3930
Pulvermüller, F. (2018). Neural reuse of action perception circuits for language, concepts and communication. Progress in Neurobiology, 160, 1–44. https://doi.org/10.1016/j.pneurobio.2017.07.001
Quijije Fernández, G. A., y Jara Alvarado, M. B. (2022). Estrategias para la autopreparación de la física mediante el asesoramiento virtual. MQRInvestigar, 6(4), 646–663. https://doi.org/10.56048/MQR20225.6.4.2022.646-663
Reyes Tucto, G. D., Campana Concha, A. R., y Mori Villatiz, M. (2020). Geogebra para la enseñanza y aprendizaje de las matemáticas. Big Bang Faustiniano, 9(1). https://doi.org/10.51431/bbf.v9i1.587
Roa, I. (2015). Metodos Cuantitativos. 1–52.
Rosa, M., y Pinheiro, R. P. (2020). Cybereducation with Mathematics Teachers: Working with Virtual Reality in Mathematics Activities. In Constitution and Production of Mathematics in the Cyberspace, 123–140. Springer International Publishing. https://doi.org/10.1007/978-3-030-42242-4_8
Rubio-Pizzorno, S., y Montiel Espinosa, G. (2021). Ambientes Virtuales de Aprendizaje construidos socialmente con Herramientas de Autor de GeoGebra. Innovaciones Educativas, 23(34), 213–227. https://doi.org/10.22458/ie.v23i34.3432
Salas-Rueda, R.-A., y Salas-Rueda, R.-D. (2019). Uso de la ciencia de datos y el aprendizaje automático para analizar la aplicación GeoGebra en el proceso educativo. Digital Education Review, 36, 117–151. https://doi.org/10.1344/der.2019.36.117-151
Septian, A., Inayah, S., Suwarman, R. F., y Nugraha, R. (2020). GeoGebra-Assisted Problem Based Learning to Improve Mathematical Problem Solving Ability. Proceedings of the SEMANTIK Conference of Mathematics Education (SEMANTIK 2019). https://doi.org/10.2991/assehr.k.200827.119
Solórzano-Zambrano, D. V., y Gutiérrez-Navia, E. V. (2023). Gamificación como estrategia didáctica para el aprendizaje de operaciones básicas con números enteros. MQRInvestigar, 7(3), 3950–3967. https://doi.org/10.56048/MQR20225.7.3.2023.3950-3967
Tatar, E., y Zengin, Y. (2016). Conceptual Understanding of Definite Integral with GeoGebra. Computers in the Schools, 33(2), 120–132. https://doi.org/10.1080/07380569.2016.1177480
Urure Tejada, L. G., Peña Casa, M., y Dominguez Pillaca, D. (2024). Programa Estining de R-Studio para estudiantes universitarios de Ingeniería. Revista de Climatología, 24, 953–961. https://doi.org/10.59427/rcli/2024/v24cs.953-961
Vargas Rojas, W. (2021). La resolución de problemas y el desarrollo del pensamiento matemático. Horizontes. Revista de Investigación En Ciencias de La Educación, 5(17), 230–251. https://doi.org/10.33996/revistahorizontes.v5i17.169
Ventura Janampa, M. A., Berrospi Feliciano, J., y Gamarra Astuhuaman, G. (2021). Medidas de dispersión a través del software Geogebra. Horizontes. Revista de Investigación En Ciencias de La Educación, 5(18), 405–415. https://doi.org/10.33996/revistahorizontes.v5i18.183
Villamizar Araque, F. Y. (2020a). GeoGebra como herramienta mediadora de un fenómeno físico. Revista Do Instituto GeoGebra Internacional de São Paulo. ISSN 2237-9657, 9(1), 76–89. https://doi.org/10.23925/2237-9657.2020.v9i1p76-89
Weinhandl, R., Lavicza, Z., Hohenwarter, M., y Schallert, S. (2020). Enhancing Flipped Mathematics Education by Utilising GeoGebra. International Journal of Education in Mathematics, Science and Technology, 8(1), 1. https://doi.org/10.46328/ijemst.v8i1.832
Zambrano-Vera, M. L., y Rodríguez-Cedeño, F. V. (2023). GeoGebra como estrategia didáctica en la enseñanza de matrices. MQRInvestigar, 7(3), 2752–2767. https://doi.org/10.56048/MQR20225.7.3.2023.2752-2767
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