Various circumstances factor into occurrences of student dropout. This project aims to provide insight on the use of statistical models for the purpose of helping educational institutions predict and assist “at-risk” students effectively and preventively, based on a diverse set of quantitatively-represented student attributes.
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A Comparative Approach to Predicting Student Dropouts using ELS: 2002 Study468.73 kBDownloadView
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Title
A Comparative Approach to Predicting Student Dropouts using ELS: 2002 Study
Resource Type
Poster
Event
Summer Undergraduate Research Program (University of West Florida, Pensacola, Florida, 08/2024)
Contributors
Achraf Cohen (Faculty Mentor)
Publisher
University of West Florida Libraries; Argo Scholar Commons
Format
pdf
Copyright
Permission granted to the University of West Florida Libraries by the author to digitize and/or display this information for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires the permission of the copyright holder.
Identifiers
99380576897006600
Academic Unit
Summer Undergraduate Research Program 2024; Hal Marcus College of Science and Engineering ; Mathematics and Statistics
Language
English
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A Comparative Approach to Predicting Student Dropouts using ELS: 2002 Study