Predictive Analytics in Higher Education: Use Cases and Limitations
Predictive analytics in higher education uses historical student data, statistical models, and machine learning to forecast outcomes like dropout risk, course success, and enrollment likelihood before they happen. Instead of reacting after a student fails a class or stops enrolling, institutions can flag warning signs weeks or months earlier and intervene while there is still […]