Unveiling success: an analysis of academic performance predictors in a private high school in mexico through learning analytics

Abstract

The article explores the effect of fathers’ educational level and high school type on the academic performance of students in three faculties of a private university in Mexico. Learning analytics helps to this research, so the study uses a quantitative analysis and a two-factor ANOVA model to examine the relationship between socioeconomic variables and academic variables on student performance. The dataset includes sociodemographic and academic information of first-semester students, as well as enrollment in different academic programs. The results show that students who graduated from the same system preparatory school have higher academic performance compared to students who did not. Additionally, the educational level of the father has a significant effect on academic performance. When analyzing results by academic career, it is observed that the effect of type of high school on academic performance is significant in the Medicine population but not in the Engineering population. There is also a significant difference in academic performance between the type of high school graduates and non-graduates in the Engineering population. In conclusion, the study highlights the importance of socioeconomic variables and high school characteristics in predicting academic performance. The findings can provide insights for improving educational practices and interventions to enhance student outcomes.