Prediction of academicé performance by means of multivariate analysis techniques in the subject of differential equations.
DOI:
https://doi.org/10.55204/trc.v3i1.e126Keywords:
Multivariate technique, academic performance, differential equationsAbstract
The academic performance of a student has been associated with various personal, social and institutional factors. The objective of this research is to determine the factors that affect the academic performance of students in the course of differential equations. To evaluate the impact of this work, multivariate techniques such as binary logistic regression and discriminant analysis were applied. It was determined that the variables weekly time dedicated to the subject, tutorials that help to solve doubts, frequency with which they develop academic activities, and the frequency with which they carry out the tasks contribute significantly to academic performance. Despite the positive impact of this research, there are still challenges to be resolved, one of which is to determine the strategies and programs that aim to improve the performance and permanence of students in a higher education institution.
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Copyright (c) 2023 Paola Proaño Molina, Santiago Ulloa Cortazar, Aracelys Hernández, Alfonso Gunsha Morales
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