Learning analytics em instituições particulares do Nordeste do Brasil: uma experiência sobre maturidade

Abstract

Learning Analytics (LA), commonly translated in Brazil as Learning Analytics, aims to support decision-making by managers and teachers on crucial issues affecting students, such as dropout, based on data analysis, as well as improving teaching and learning processes. This is a qualitative research study that aimed to investigate the implementation of Learning Analytics in a private higher education institution in the Northeast of Brazil, regarding the problem of dropout. The research was conducted at a private Distance Learning Higher Education institution in the Northeast region of Brazil, including Faculdade Malta, located in the city of Teresina - PI. Three managers, four teachers, 10 students and four tutors from the institution participated in the research. The results showed how important it is to discuss educational data and how significant its use is within the Higher Education process, for improving teaching and learning. It is concluded that among the reasons that can lead to dropout in higher education, the following were cited: lack of interest, lack of access to the internet, lack of skills with technologies, absence of the teacher, lack of greater monitoring by the tutor, work, family and mainly due to the economic factor. Therefore, learning analytics is a way to monitor the student's profile more accurately, through their data, so that all the reasons that lead to dropout from the course can be solved.