This study highlights the role and importance of advanced, machine learning-driven predictive models in enhancing the accuracy and timeliness of identifying students at-risk of negative academic outcomes in data-driven Early Warning Systems (EWS). K-12 school districts have, at best, 13 years to prepare students for adulthood and success. They…

The purpose of this study was to examine the factors associated with academic achievement in at-risk high school students attending one of four charter schools in south Florida geared toward dropout prevention. Several factors were identified through a thorough review of the literature to identify the common demographic variables associated with…

The true purpose of this study is to contribute to researchers' and practitioners' understanding of the power of Teacher-Student Relationships (TSRs) relative to at-risk students' graduation status. Much of the research surrounding dropouts focuses on root causes like attendance, retention, and families' economic status. However, minimal research…

Over the last 100 years, the overwhelming majority of Americans have attended this nation's public schools. There are clearly documented deleterious effects for students who do not successfully graduate from high school. Further, scholars and practitioners have recognized the adverse impacts on communities and the economy. Unfortunately, Colorado…

Recent literature on high school graduation and drop out have shifted the focus from identifying causes of drop out to identifying students who are at risk of dropping out. The Early Warning Systems (EWS) used to identify students seek to use existing data to predict which students have a greater risk of dropping out of school so that schools can…

High school dropout continues to be an issue of national concern, and the inability of educators and researchers to find means of effectively reducing the dropout rate may be grounded in their approach to understanding this issue. Because there is limited prior research in addressing wellness, perceived stress, and mattering in relationship to…

The high school dropout rate in a southern U.S. state is 22.1% and students who fall behind in reading and math in middle school are more likely to fail 9th grade. This specific failure is one of the strongest predictors that a student will ultimately drop out of school. The research questions of this study addressed the relationship between math…