Authors: Kieran Elder*, Central Michigan University
Topics: Spatial Analysis & Modeling, Higher Education
Keywords: University Enrollment, GIS, Spatial Analysis, Modeling
Session Type: Poster
Start / End Time: 9:55 AM / 11:35 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: No File Uploaded
Effectively understanding the drivers of student enrollment patterns is of utmost interest to universities. Geographic distance between student residence and institution has been found to be an important factor in the application process; however, its impacts on the enrollment decision remains largely unexplored. Therefore, investigating and quantifying the influence of distance on enrollment decisions; along with how that influence differs among student groups and demographics is a necessary step for the creation of comprehensive university recruitment policies. This study combines student enrollment demographic and geographic data to model the relationships between geographical distance and the college enrollment decision. Further, this work provides visual representations of how these relationships vary across space, thus providing insight in the way certain communities are particularly sensitive to geographic distance.