Academic analytics: a systematic review of literature

The educational environment is increasingly complex and competitive, a large quantity of data is generated that needs to be treated and interpreted competently. One area that emerges for this purpose is known as Academic Analytics. The objective of this article is to present the state of the art of the Academic Analytics research, and identify computational tools and indicators focused on academic management. For such, we carried out a systematic review of the literature, using all the databases included in the Portal de Periódicos da Capes (Web Portal of Academic Journals of the Coordination for the Improvement of Higher Education Personnel - CAPES). The search retrieved 177 academic articles, of which, after applying the exclusion/inclusion and quality criteria, 10 articles were selected for an in-depth analysis. Among the main results, we highlight some Educational Data Mining tools and Learning Analytics that were used to aid the academic analysis, in addition to presenting several indicators such as focus on the students, professors and academic management. In summary, it is likely that this review will provide researchers with an overview of the subject matter under study, and that it highlights research trends that could be the focus of future research.