Desarrollo e Implementación de un sistema de extracción de datos para la optimización de la gestión de información y un sistema de descarga masiva de recursos en la plataforma virtual Moodle de Campus Virtual

Abstract

The management of information and resources in the Virtual Campus faces significant challenges, such as delays in report generation and the complexity of manual file downloads, affecting operational efficiency and user experience. The main objective was to develop two technological applications to optimize administrative and academic processes in undergraduate, graduate, and continuing education platforms. Python, the Flet framework, and web scraping techniques were used. The first application generated comprehensive reports from main categories in Moodle, including data on students, teachers, courses, and the status of virtual classrooms. The second automated the bulk downloading of files, organizing them into folders by platform. The results showed a significant reduction in data processing times and greater efficiency in resource management. Although the tools faced limitations related to user permissions and dependencies on Moodle's HTML, they proved to be effective solutions to operational problems. These findings highlight the importance of automation in managing virtual platforms and the positive impact of integrating technology into the educational field.