GeoGebra and the learning of descriptive statistics in students of Mathematical Sciences and Computer Science at UNCP
Keywords:
Geogebra; StatisticsAbstract
The starting point of this study arises from the need to answer the following question: How does the application of GeoGebra influence the learning of Descriptive Statistics in students of the fifth semester of the CMI of the UNCP?, this being a work with a quantitative approach. , with a quasi-experimental design where 60 students participated divided into two groups; control group (30) and experimental group (30), where the primary objective was to determine the influence of the application of GeoGebra on the learning of Descriptive Statistics in students of the fifth semester of the CMI of the UNCP, for which a entry and exit test with 20 items related to descriptive statistics to both groups, all this to test the following hypothesis: The application of the GeoGebra software positively influences the learning of Descriptive Statistics in the students of the fifth semester of the CMI of the UNCP; The method used was the scientific one. After applying the post-test to both groups, it was concluded that the study group that carried out the descriptive statistics with GeoGebra obtained significantly higher averages compared to the group that did not use the software.
References
Bennett, S., & Maton, K. (2010). Beyond the ‘digital natives’ debate: Towards a more nuanced understanding of students’ technology experiences. Journal of Computer Assisted Learning, 26(5), 321-331. https://doi.org/10.1111/j.1365-2729.2010.00360.x
Birgin, O., & Uzun, K. (2021). The effect of GeoGebra software–supported mathematics instruction on eighth-grade students’ conceptual understanding and retention. Journal of Computer Assisted Learning, 37(4), 925-939. https://doi.org/10.1111/jcal.12532
Diaz-Nunja, L., Rodríguez-Sosa, J., & Lingán, S. K. (2018). Enseñanza de la geometría con el software GeoGebra en estudiantes secundarios de una institución educativa en Lima. Propósitos y Representaciones, 6(2), 217. https://doi.org/10.20511/pyr2018.v6n2.251
Ertmer, P. A., & Ottenbreit-Leftwich, A. T. (2010). Teacher Technology Change: How Knowledge, Confidence, Beliefs, and Culture Intersect. Journal of Research on Technology in Education, 42(3), 255-284. https://doi.org/10.1080/15391523.2010.10782551
Huaman, J., Solis, B. P., Quispe, F., & Silva, J. (2022). Evaluación formativa en educación superior: Revisión sistemática. TecnoHumanismo, 2(4), 44-59.
Justano, K. G., & Rojas, N. P. (2023). Software educativo GeoGebra y aprendizaje de funciones trigonométricas en estudiantes de quinto de secundaria de la IE José Galvez Barrenechea—Oroya. http://repositorio.uncp.edu.pe/handle/20.500.12894/10653
Morales, L., Zuta, L. M., Solis, B. P., Fernández, F. A., García, M., Morales, L., Zuta, L. M., Solis, B. P., Fernández, F. A., & García, M. (2023). El uso del Software GeoGebra en el aprendizaje de las matemáticas: Una revisión sistemática. Referencia Pedagógica, 11(1), 2-13.
Rubio, S. A. (2018). Integración digital a la práctica del docente de geometría [masterThesis, Tesis (M.C.)--Centro de Investigación y de Estudios Avanzados del I.P.N. Departamento de Matemática Educativa.]. https://repositorio.cinvestav.mx/handle/cinvestav/964
Spiegel, M. R., Schiller, J. J., & Srinivasan, R. A. (2001). Teoría y problemas de probabilidad y estadística. McGraw Hill.
Uchima-Marin, C., Murillo, J., Salvador-Acosta, L., & Acosta-Vargas, P. (2024). Integration of Technological Tools in Teaching Statistics: Innovations in Educational Technology for Sustainable Education. Sustainability, 16(19), 8344. https://doi.org/10.3390/su16198344
Vargas, R., & Fernando, L. (2019). La educación estadística en el nivel universitario: Retos y oportunidades. Revista Digital de Investigación en Docencia Universitaria, 13(2), 67-82. https://doi.org/10.19083/ridu.2019.1081