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Bendinelli, Anthony J.; Marder, M. – Physical Review Special Topics - Physics Education Research, 2012
We use visualization to find patterns in educational data. We represent student scores from high-stakes exams as flow vectors in fluids, define two types of streamlines and trajectories, and show that differences between streamlines and trajectories are due to regression to the mean. This issue is significant because it determines how quickly…
Descriptors: Visual Aids, Longitudinal Studies, Test Results, Data Analysis
Montoya, Silvia – RAND Corporation, 2010
The racial achievement gap has been at the center of the educational debate for decades in the United States. Although disparities in educational outcomes have declined in part of the 20th century, the process has stalled in this decade. For instance, in mathematics the gap in raw scores for students aged 13 has decline from 41 points in 1978 to…
Descriptors: Neighborhoods, Family Income, Educational Objectives, Achievement Gains