Optimizing Melt Management with Predictive Modeling and Daily Tracking

Effectively managing melt is crucial for a university to balance accepted offers with actual enrollment, resulting in better outcomes for both the institution and its students. At Virginia Tech, we propose an advanced machine learning approach to predict and understand melt, combined with a visualization dashboard for tracking and analyzing melt trends. This comprehensive system allows for strategic and timely enrollment management, helping the university achieve its goals and enhance the student experience.

Presenter(s):

Tam Nguyen Virginia Tech

Rob Hopkins Virginia Polytechnic Institute and State University