https://msucerl.org/cmse101/tags/equity/Recent content in Equity on AI and Society CourseHugoen-usThu, 21 May 2026 00:00:00 +0000https://msucerl.org/cmse101/use-cases/1-4-predictive-student-retention/Thu, 21 May 2026 00:00:00 +0000https://msucerl.org/cmse101/use-cases/1-4-predictive-student-retention/<h1 id="predictive-student-retention--early-warning-systems">Predictive Student Retention / Early Warning Systems</h1> <h2 id="context--systems-architecture">Context &amp; Systems Architecture</h2> <p>Dozens of universities leverage enterprise predictive analytics platforms—such as EAB Navigate360 or Civitas Learning—to optimize student retention rates and allocate advising resources. By integrating directly with institutional Learning Management Systems (LMS) and student information databases, these platforms use historical enrollment logs to calculate a real-time &ldquo;risk score&rdquo; for every student, alerting advisors to individuals predicted to fail or drop out.</p>