Tennessee's regional universities, such as those in the Tennessee Board of Regents system, are pivotal for workforce development but grapple with retention rates below national averages. Data analytics offers a powerful remedy, allowing institutions to predict at-risk students and intervene early. By analyzing enrollment patterns, course performance, and engagement metrics, universities can tailor support to improve persistence.
Key strategies include deploying predictive models that flag potential dropouts based on factors like attendance and grades. For example, integrating labor market data with student success analytics reveals how career-aligned programs reduce attrition. A Gallup-Lumina Foundation study highlights that students perceiving strong ROI are 20% more likely to persist.
Mapademics' student success analytics tools enable seamless integration of these insights, providing real-time dashboards for advisors. This is especially relevant in Tennessee, where rural campuses face unique challenges like economic barriers for first-generation students.
In practice, a regional university in East Tennessee used analytics to revamp advising, resulting in a 12% retention uplift by linking academic paths to local job markets in logistics and tourism. Such approaches align with emerging 2025 trends in personalized education, as noted by EDUCAUSE.
Link to our internal whitepaper on predictive analytics for student success for more on implementation. Externally, the National Student Clearinghouse reports underscore the need for data-driven interventions in the Southeast.
By fostering a culture of analytics, Tennessee universities can enhance equity, ensuring underrepresented groups succeed. This not only boosts graduation rates but also strengthens institutional funding tied to performance metrics.
As policy changes loom in 2025, analytics will be indispensable for demonstrating value to stakeholders, positioning regional universities as student-centric leaders.
