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 comparative study was to determine the effectiveness of 2 ACT intervention preparation programs. One was a face-to-face ACT intervention preparation program and the 2nd was a computer-based ACT intervention preparation program. Both of these intervention programs were used with at-risk high school juniors and seniors in a large…