AI Drives 17% Surge in First-Year Student Retention

A Florida university tackled the issue of first-year student attrition. By implementing an AI solution that analyzes student data and predicts dropout risk, the university achieved a significant 17% improvement in first-year student retention.

Client:

Nova Southeastern University (NSU) is a private, not-for-profit research university in Fort Lauderdale, Florida. NSU offers various academic programs, from undergraduate to doctoral level. The university is recognized for its health professions, oceanography, and business programs.

Problem Statement:

Nova Southeastern University faced the challenge of optimizing student welfare and mitigating student attrition rates, particularly among undergraduate students.

Results:

17% improvement in first-year student retention in 15 days

AI Solution:

Nova Southeastern University implemented the Aible AI tool to address the critical issue of student attrition. Leveraging advanced data analytics and predictive modeling, Aible enabled the identification of students at high risk of dropping out.

By employing augmented analytics, augmented data, and machine learning, Aible uncovered complex patterns within student data. This allowed the university to implement targeted interventions and optimize resource allocation, resulting in a significant 17% reduction in student attrition.

By processing vast amounts of student data and predicting future trends, Aible enabled Nova Southeastern University to make well-informed decisions that significantly improved student outcomes.

References:

1. Nova Southeastern University uses AI to potentially improve first-time college student retention by 17% in 15 days

Industry: EdTech
Vendor: Aible
Client: Nova Southeastern University