Uma experiência do uso de ferramentas de Learning Analytics para análise de interações

Abstract

Problems such as retention and evasion in higher education institutions have been studied for several years. The Learning Analytics (LA) research area has been seen as an alternative to minimize such problems by investigating student-produced data such as grades, attendance and interaction with peers, teachers, and educational resources in order to improve performance School. This article aims to present an experience of the use of two LA tools using data from the Computer Applied Logic discipline of the Computer Science Licentiate course stored in the Integrated System of Management of Academic Activities (SIGAA) in order to analyze how Interact and understand how the level of student interaction influences their performance. Given the results, it was possible to perceive that the information extracted were important signposts for teacher of the discipline.