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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
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Burke, Garfield, Jr.; Wang, Ying – Education, 2010
Public school districts in the Mississippi (MS) Delta are under severe pressure to make rapid and adaptable changes in response to the federal legislation No Child Left Behind Act of 2001 and the MS Plan for Student Achievement: Assessment, Accreditation, and Accountability. These reform Acts require higher student performance standards and new…
Descriptors: Federal Legislation, Testing, Educational Improvement, Educational Assessment
Ozek, Umut – National Center for Analysis of Longitudinal Data in Education Research, 2012
How to incorporate mobile students, who enter schools/classrooms after the start of the school year, into educational performance evaluations remains to be a challenge. As mandated by the No Child Left Behind Act of 2001 (NCLB), all states currently require that a school is accountable only if the student has been enrolled in the school for a full…
Descriptors: Student Mobility, Accountability, Eligibility, Enrollment