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…

Recent legislation such as No Child Left Behind and the Performance Evaluation Reform Act (PERA) increasingly pressure teachers and schools to be accountable for instructional time in the form of improved test scores. As a result, students are given an increasing variety of assessments in a given school year in an attempt to measure academic…

Compressed time from matriculation to graduation prevalent in executive graduate degree programs means that traditional methods of identifying deficiencies in student writing during the course of study may not provide timely remediation enabling for student success. This study examined a writing-intensive, 10-month executive graduate degree…

Multiple-choice tests of punctuation and usage are used throughout the United States to assess the writing skills of new community college students in order to place them in either a basic writing course or first-year composition. To determine whether using the COMPASS Writing Test (CWT) is a valid placement at a community college, student test…

No Child Left Behind (NCLB, 2001) included a broad spectrum of changes to the federal role in public education, including accountability provisions that mandated states to test all students. In an atmosphere of educational reform and federally mandated high-stakes testing, demands have increased for progress monitoring strategies that reliably…