Date of Award
Spring 2019
Degree Type
Essay
Degree Name
Master of Arts (MA)
Department
Mathematics
First Advisor
Dr. Elena Manilich
Abstract
This project is an attempt to discover predictors of high school performance through the use of data science techniques and analysis of the Beaumont school 2017-2018 student body. High school success is an important factor for college admission, so being able to forecast a student's performance or identify those in need of assistance is paramount. Analysis shows that there is a strong correlation and predictive quality in the quantitative assessment results examined in this study. While results for both success and failure were significant, predictions of student success measures were more accurate than those of the failure group.
Recommended Citation
Limestoll, Tara, "FACTORS THAT PREDICT SUCCESS OF A BEAUMONT STUDENT" (2019). Masters Essays. 105.
https://collected.jcu.edu/mastersessays/105
Creative Commons License
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