Módulo de avaliação semiautomática do sistema de candidatura em processos seletivos da pós-graduação

Abstract

Graduate program admission processes involve critical stages of application submission and documentary and curricular evaluation, the latter of which is frequently carried out manually, potentially leading to inconsistencies, human error, low traceability and high operational effort. In the context of the Universidade Federal de Uberlândia (UFU), the SIPPGCO-FACOM system automated the application submission stage; however, the evaluation phase still presented limitations related to standardization and efficiency. This work presents the development of a semi-automatic evaluation module integrated into the existing system, aimed at supporting the evaluation committee in performing repetitive and systematic tasks, leaving to the evaluators only those that depend on judgement of merit. The solution encompasses an initial document screening stage, in which every required document is individually reviewed and each rejection is justified; the automatic calculation of curricular scores based on the rules defined in the selection notice; evaluation stages with no associated document, such as the interview, whose grades are recorded by the committee and combined through a weighted sum; manual adjustments with immediate score reprocessing; the generation of the candidate ranking, which combines the cut-off score and the number of positions available in each research line; and the production of structured reports, thereby promoting greater transparency, consistency, and auditability of the process. The adopted architecture follows a layered approach, composed of an Angular web application and a REST API built with TypeScript and NestJS, persisting data in a PostgreSQL database shared with the submission system. The system addresses functional and non-functional requirements related to usability, performance, security, and reliability — including the segregation between the coordination and evaluation committee profiles, a complete audit trail and data protection compliance guidelines — and was validated through automated unit and integration tests, complemented by functional testing of the user interface. The solution increases decision traceability and standardizes validations, while maintaining the flexibility required for evaluation committee intervention, and its expected benefits — reduced manual effort and fewer inconsistencies — remain to be confirmed through use in real admission processes. Furthermore, this work presents a reusable and adaptable architecture applicable to other evaluation contexts in academic admission processes.