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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
Collett, LaVerna Salyer; Curry, Robert L. – 1971
Vietnam veterans enrolled in special reading classes at a community college were the subjects in a comparison of the effects of presenting programed spelling materials by a visual and by an auditory approach. Two groups of 30 students each were randomly selected from 120 veterans enrolled in the special reading classes; during an eight-week…
Descriptors: Achievement Gains, Adults, Aural Learning, Comparative Analysis
