Using neural networks, the present study replicates previous results on the prediction of student dropout obtained with decision trees and logistic regressions. For this purpose, multilayer perceptrons are trained on the same data as in the initial study. It is shown that neural networks lead to...

Across many low- and middle-income countries, a sizable share of young people drop out of school before completing a full course of basic education. Early warning systems that accurately identify students at risk of dropout and support them with targeted interventions have shown results and are...

The General Educational Development (GED) credential has become the primary 'second chance' route to high school certification for school dropouts in the United States. Despite the widespread use of the GED, however, bias due to self-selection has limited our knowledge about the effects of the...

Doctoral programs in the humanities and related social sciences are characterized by high attrition and long times-to-degree. In response to these problems, the Andrew W. Mellon Foundation launched the Graduate Education Initiative (GEI) to improve the quality of graduate programs and in turn...