Application of Learning Analytics in Higher Education Institutions: A Systematic Literature Review

Currently, it has been identified that two of the main learning analytical (LA) approaches are descriptive and predictive, the latter being in charge of anticipating altered behavior in the historical relationships between the variables involved. The objective of this research is to explore the most relevant works where LA is implemented in the context of the Tutorial Information System, which is executed in Higher Education Institutions (HEI), with the intention of serving as support to the student and decrease dropout rates. This article presents a systematic review literature with 11 primary studies, between the years 2000 and 2022. The results indicate the scarce existence of works witch main focus is tutoring or academic advices, the authors who have used LA, the elaboration in the improvement or optimization of learning using academic history. Therefore, an opportunity can be identified to implement LA in the information generated by the Institutional Tutoring Programs, because through them it is possible to obtain personal, economic and health information from students. That allows supporting decision-making or actions that contribute to the reduction of dropout rates.