Analysis of Risk Factors for Student Retention

View Full Paper

Ask AI

Bookmark

Academic performance notably influences the 2-year persistence rate, underscoring the need for timely support.
Students with fewer than 6 earned units or a GPA below 2.0 have increased dropout risk, necessitating intervention.
First-generation students show a higher correlation with attrition, highlighting demographic challenges in retention.
Using random forest models offers personalized predictions for student persistence, enhancing retention strategies.

Discussion

No takes yet. Share an insight, caveat, or question.

This analysis explores retention predictors, focusing on academic performance and socioeconomic status, suggesting targeted interventions.

Yan et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark

This analysis explores retention predictors, focusing on academic performance and socioeconomic status, suggesting targeted interventions.