Predicción del rendimiento académico de alumnos de primer año de la FACENA (UNNE) en función de su caracterización socioeducativa.

This paper analyzes the academic performance of students entering the School of Natural Sciences and Surveying, National University of the Northeast (FACENA-UNNE, its Spanish acronym) in Corrientes, Argentina, during their first year, in relation to their socio-educational characteristics. Performance was measured by whether or not they passed the partial or final exams of the first mathematics course that students take. A binary logistic regression model was adjusted, which properly classified 75% of the data. Among the most important variables for explaining academic performance is obtaining the high school diploma, the major chosen, and the educational level attained by the student's mother. [ABSTRACT FROM AUTHOR]