Date of Award
Master of Arts (MA)
Dr. Elena Manilich
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.
Limestoll, Tara, "FACTORS THAT PREDICT SUCCESS OF A BEAUMONT STUDENT" (2019). Masters Essays. 105.
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