This systematic literature review investigates the fairness of machine learning algorithms in educational settings, focusing on recent studies and their proposed solutions to address biases. Applications analyzed include student dropout prediction, performance prediction, forum post classification, and recommender systems. We identify common…

Over the past decade, the National Center for Research on Gifted Education (NCRGE), funded by the Jacob K. Javits Gifted and Talented Students Education Program, has conducted large-scale, multi-method studies to improve equity in the identification of and instructional support for gifted students. NCRGE has identified barriers and promising…

Over the past decade, the National Center for Research on Gifted Education (NCRGE), funded by the Jacob K. Javits Gifted and Talented Students Education Program, has conducted large-scale, multi-method studies to improve equity in the identification of and instructional support for gifted students. NCRGE has identified barriers and promising…

This system dynamics analysis draws on the literature to outline the factors commonly discussed as predictive of and, perhaps, causally related to problematic differences in academic achievement among students who vary in race, ethnicity, and social class. It first treats these as a wide-ranging set of exogenous variables, many of which interact…

This report uses data primarily from the 2004 Graduation Rate Survey (GRS), a component of the Integrated Postsecondary Education Data System (IPEDS), to provide a systemwide overview of how graduation rates of comparable 4-year institutions vary with institution selectivity and the size of the low-income population enrolled. The report clearly…

"Outlier studies" identify items for which extreme differences in performance by contrasting groups occur; these extreme items are the "outliers" referred to. Review of the studies conducted on tests receiving major use in higher education reveals that though one cannot make a priori classifications of outliers with confidence,…

In U.S. coverage of leadership in science and engineering (S&E), Latinos are generally dismissed from consideration. The pipeline metaphor tends to ignore advances made by Latinos in completing doctoral degrees in S&E. New data suggest a better metaphor, the pyramid of higher education, for understanding the progress of Latinos in S&E. Questions…

This review of the literature, litigation, and legislation summarizes special education classification patterns for children with disabilities in the rural Southeast. Focus is particularly on those socially constructed and culture bound disabilities (such as specific learning disabilities (SLD), educable mental retardation (EMR), and mild…