College Student Retention: When Do We Losing Them?
Mehrdad J. Bani, Mina Haji

TL;DR
This paper analyzes student dropout timing using statistical methods on real data, aiming to help universities develop personalized retention strategies to reduce attrition and improve student success.
Contribution
It introduces a detailed statistical analysis of student dropout timing and leverages diverse student data for personalized dropout risk prediction.
Findings
Identifies key factors influencing dropout timing
Develops a predictive model for student attrition
Provides actionable insights for retention strategies
Abstract
One of the long term goals of any college or university is increasing the student retention. The negative impact of student dropout are clear to students, parents, universities and society. The positive effect of decreasing student attrition is also self-evident including higher chance of having a better career and higher standard of life for college graduate. In view of these reasons, directors in higher education feel increasingly pressurized to outline and implement strategies to increase student retention. In this paper, we provide a detailed analysis of the student attrition problem and use statistical methods to predict when students are going to dropout from school using real case data. Our work has a number of advantages with the potential of being employed by higher education administrator of universities. We take advantage of multiple kinds of information about different…
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Taxonomy
TopicsHigher Education Research Studies · Innovations in Educational Methods
