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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
Center for Community College Student Engagement, 2014
Today's nationwide focus on college completion is central to both individual and societal success. For individuals, attaining a credential has become essential to earn a livable wage and support a family. In addition, as each person's educational attainment increases, so does his or her capacity to contribute to the economy, his or her community,…
Descriptors: Community Colleges, Two Year College Students, Success, Educational Practices