Citas bibligráficas
Flores, R., (2024). La infraestructura tecnológica y el aprendizaje de los estudiantes del Cetpro-Pomabamba, distrito de Pomabamba, 2023 [Universidad Nacional de Educación Enrique Guzmán y Valle]. https://repositorio.une.edu.pe/handle/20.500.14039/11180
Flores, R., La infraestructura tecnológica y el aprendizaje de los estudiantes del Cetpro-Pomabamba, distrito de Pomabamba, 2023 []. PE: Universidad Nacional de Educación Enrique Guzmán y Valle; 2024. https://repositorio.une.edu.pe/handle/20.500.14039/11180
@misc{renati/1736551,
title = "La infraestructura tecnológica y el aprendizaje de los estudiantes del Cetpro-Pomabamba, distrito de Pomabamba, 2023",
author = "Flores Chauca, Roberto",
publisher = "Universidad Nacional de Educación Enrique Guzmán y Valle",
year = "2024"
}
The objective of this research work is to inform us about the impact of the technological infrastructure of the Pomabamba Educational Complex on student retention in the year 2023. The lack of pedagogical innovation classrooms or computer centers in the educational institution resulted in low student retention. Participants of the training program all the time during the academic year. The objective is to demonstrate that there is a significant relationship between the technological infrastructure and student learning and to propose recommendations to improve the infrastructure. The method used consisted of a quantitative study with a non-experimental cross-sectional design, where the survey was applied to 81 students, and the relationships between the variables were evaluated with logistic regression analysis. The results showed that the technological infrastructure has a significant impact on student learning, and those who have access are 2.5 times more likely to remain in the program. In addition, statistical information was provided on the Spearman correlation coefficient, with a value of 0.768, indicating a high positive correlation between the variables 'technological infrastructure' and 'learning'. These results suggest a direct and significant relationship between both variables, that is, as one increases, the other also increases.
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