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Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
Ahlgren Reddy, Alison; Harper, Marc – PRIMUS, 2013
Data from the ALEKS-based placement program at the University of Illinois is presented visually in several ways. The placement exam (an ALEKS assessment) contains precise item-specific information and the data show many interesting properties of the student populations of the placement courses, which include Precalculus, Calculus, and Business…
Descriptors: Mathematics Education, College Mathematics, Student Placement, Scores
ACT, Inc., 2011
Since 1959, ACT has collected and reported data on students' academic readiness for college. This report provides a college and career readiness snapshot of the ACT-tested high school class of 2011. ACT has long defined college and career readiness as the acquisition of the knowledge and skills a student needs to enroll and succeed in…
Descriptors: Economic Development, Test Results, Academic Achievement, College Readiness

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