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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
Georgetown University Center on Education and the Workforce, 2023
This report projects education requirements linked to forecasted job growth for all 50 states and the District of Columbia from 2021 through 2031. It complements a larger national report that projects education demand by occupation and industry for the same period. The national report finds that by 2031, 72 percent of all jobs nationally will…
Descriptors: State Standards, Educational Background, Technology, Job Development