Optimizing Math-Seat Projections: A Model Using Placement and Retake Data

Wednesday, May 21, 2025

3:45 PM – 4:30 PM East Coast USA Time

Location: Panzacola F2

Institution Type: 4-year institutions

Target Audience: Expert/Advanced

Presenter(s)

Chengbo Yin

Director of Institutional Effectiveness
Rutgers University Newark
Newark, New Jersey, United States
Deborah Takash

Information Specialist
Rutgers University Newark
Newark, New Jersey, United States
OP

Olivia Polkuzio

Research Analyst
Rutgers - Newark, New Jersey, United States

Session Abstract: This session introduces a math-course seat-projection model used by Rutgers-Newark to make early decisions on the number of course sections and instructors needed. The model accounts for varying math requirements across majors and differing levels of student preparedness upon enrollment. It also considers course retakes for students who fail, using placement data, retake statistics, and student persistence to project seat demand. Attendees will gain insights into the model’s key components, accuracy, and practical implementation, helping to optimize course offerings and staffing decisions.

Keywords: math seat, projection, enrollment modeling, scheduling