Horas de estudio frente a resultados de exámenes: El éxito académico de los estudiantes a través de la predicción del rendimiento.

Abstract

This study investigates the correlation between study hours and students' exam results to identify key predictors of academic success. Using a dataset of 500 records that include study hours, previous exam scores, and pass/fail outcomes, we applied regression models and machine learning to analyze the influence of these factors on exam performance. Our findings indicate that while study hours have a significant impact on the likelihood of passing an exam, previous exam scores provide a more accurate prediction of the outcome. This study highlights the importance of considering multiple factors when assessing academic performance and suggests targeted strategies to improve educational outcomes. The implications of these results could guide educators and policymakers in developing more effective interventions to support student success. © 2024 Seventh Sense Research Group®