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Azarnoush, Bahareh; Bekki, Jennifer M.; Runger, George C.; Bernstein, Bianca L.; Atkinson, Robert K. – Journal of Educational Data Mining, 2013
Effectively grouping learners in an online environment is a highly useful task. However, datasets used in this task often have large numbers of attributes of disparate types and different scales, which traditional clustering approaches cannot handle effectively. Here, a unique dissimilarity measure based on the random forest, which handles the…
Descriptors: Online Courses, Females, Doctoral Programs, Graduate Students
Mayer, Alexander K.; Patel, Reshma; Rudd, Timothy; Ratledge, Alyssa – MDRC, 2015
Performance-based scholarships have two main goals: (1) to give students more money for college; and (2) to provide incentives for academic progress. MDRC launched the Performance-Based Scholarship (PBS) Demonstration in 2008 to evaluate the effectiveness of these scholarships in a diverse set of states, institutions, and low-income student…
Descriptors: Scholarships, Performance Based Assessment, Performance Factors, Academic Achievement
Theodos, Brett; Pergamit, Michael R.; Hanson, Devlin; Edelstein, Sara; Daniels, Rebecca – Urban Institute, 2016
Urban Alliance serves at-risk youth through its high school internship program, which provides training, mentoring, and work experience to high school seniors from distressed communities. The program aims to help youth move on to higher education or employment after graduation. The Urban Institute is conducting a six-year, randomized controlled…
Descriptors: Program Evaluation, Youth Programs, At Risk Students, High School Students