Tratamento externo de dados gerados a partir da plataforma Moodle usando APIs

Abstract

This work aims to propose a solution for the external processing of data generated by the Moodle platform, widely used in distance learning (DL) environments. The study's motivation arises from the need of institutions such as UNA-SUS UFAM to process and analyze academic and administrative data more efficiently, overcoming the native limitations of the platform. To address this, an API was developed to extract, organize data into a database, and visualize it in an external system. The methodology adopted included the development of a backend in PHP and an interactive frontend using HTML, CSS, JavaScript, and Chart.js, ensuring integration with Moodle. The results demonstrated the technical feasibility of the solution, with significant improvements in usability and data analysis capabilities for institutions. As a contribution, this work provides a functional model that can be expanded to meet more complex demands in the future. It is concluded that the proposed approach has the potential to optimize academic and administrative processes, strengthening the use of DL in challenging contexts, such as the Amazon region.