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…

Standardized testing and assessment packages have been implemented by nursing program directors to predict and improve pass rates on the National Council Licensure Examination (NCLEX). The methods of implementation vary from program to program, and as a result, the outcomes in the programs vary. The purpose of this quantitative study was to…

The attrition of special education teachers greatly affects the quality of special education services districts can provide for students with disabilities and creates an ongoing challenge for educational leaders. It is essential to understand the factors influencing special education teachers' decisions to leave or remain in the field. If…