Avaliação e Feedback Automático em Educação apoiada por Tecnologia: Um mapeamento sistemático da literatura

Resumo

The task of evaluating and classifying the performance of students who are part of the technology-supported education scenario can be a tedious and error-prone task. Providing manual feedback based on these assessments may compromise students' learning. In view of this, it is adopted the automation of these two tasks through the use of computational methods available in the literature. In order to identify these methods, as well as the scenarios in which they are applied, this paper presents a systematic mapping, which classifies 11 methods and 4 scenarios applicable to this context, distributed in 25 papers, and categorized into 3 different types of studies.