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…

This qualitative case study sought to discover how school-level data teams can intentionally use effective data practices to identify and implement high-leverage interventions that support all students, including Black and Latinx boys, in attaining the necessary academic requirements for high school graduation. The researcher analyzed data from…

Historically, students with disabilities graduate from high school at lower rates than peers without disabilities. As a result, many students with disabilities also have poor postsecondary or adult outcomes, such as unemployment or employment in lowpaying jobs. This state spotlight presents strategies the West Virginia Department of Education…