u-retention enables early identification of students at risk of abandoning their studies, using personal data, family, academic data and payment behavior. It also allows the individual study and follow-up of each student.

Benefits

• Detects which students are at high risk of desertion, allowing the institution to intervene and prevent cases of student dropouts.
• Identifies the most influential risk factors that lead to dropping out of the institution, allowing the design and implementation of improved policies for student drop-out prevention.

Features

• Dynamic and flexible generation of dropout prediction factors.
• Self-calibration of the mathematical model using the available historical data.
• Orders and prioritizes students by dropout risk (detailed report, level of risk, contact information etc.).
• Provides reports for the main causes and risk factors at a general institutional level.

This app is only available in spanish for the moment.