Analysis of academic dropout data to estimate relevant variables using computer tools at a Higher Education Institution

Introduction: Student dropout, which refers to students abandoning their curricular programs due to various influences, is a critical concern in education, impacting individuals, institutions, families, and society. Objective: This research, centered at a Higher education Institution, examines the Tinto Dropout Model and explores the impact of Problem-Based Learning on student retention. Methodology: It also analyzes undergraduate dropout rate trends from 2014 to 2020, identifying patterns and disparities among student groups through ANOVA. Results: This comprehensive approach is designed to contribute to informed decision-making and the continuous improvement of higher education in Mexico. Conclusions: The research strives to understand why students discontinue their studies and to develop effective strategies to mitigate dropout rates, ultimately benefiting both the students and the institution.