Aplicação web para resolução de questões e diagnóstico de desempenho acadêmico

Abstract

The constant practice of solving questions is an effective method for consolidating knowledge and identifying learning gaps; however, the lack of organization and tools offering detailed feedback can hinder the efficiency of this process. Addressing this need, the objective of this work was to develop a web application capable of storing questions organized by subject and providing an academic performance diagnosis, optimizing the student's time and facilitating the identification of priority content. For the system development, the Scrum agile methodology was adopted, aiming for flexibility and incremental delivery of features. The technologies used were primarily the Django (Python) and React (JavaScript) frameworks. As a result, a functional containerized application was obtained, consisting of an administrative module and a study interface. A highlight is the implementation of an interactive performance dashboard that, through graphs with a hierarchical view (discipline and subject), allows the student to perform a strategic diagnosis of their successes and mistakes, precisely identifying their knowledge gaps.