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Download full textKelli 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
Peer reviewedNagle, Katherine; Pratt-Williams, Jaunelle; Schmidt, Rebecca; Swantek, Cara; Lyulchenko, Marianna; McGhee, Raymond – Grantee Submission, 2016
This is the final external evaluation report prepared by SRI International for the Rural Math Excel Partnership (RMEP) project, an investing in innovation (i3) development project funded by the U.S. Department of Education. Operated by Virginia Advanced Study Strategies, Inc. (VASS), the RMEP project included six rural school districts (LEAs) in…
Descriptors: Rural Schools, Mathematics Education, Family Involvement, Mathematics Teachers
Coalition for Community Schools, 2010
Great strides have been made by community school initiatives across the nation in their efforts to impact student achievement, attendance, student engagement, graduation rates, parent involvement and more. Data on community schools is growing and the authors encourage readers to review research reports and syntheses on results. The results…
Descriptors: Community Schools, Graduation Rate, Graduation, Parent Participation
