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Meylani, Rusen; Bitter, Gary G.; Castaneda, Rene – Journal of Education and Learning, 2014
In this study regression and neural networks based methods are used to predict statewide high-stakes test results for middle school mathematics using the scores obtained from third party tests throughout the school year. Such prediction is of utmost significance for school districts to live up to the state's educational standards mandated by the…
Descriptors: Middle School Students, Mathematics, High Stakes Tests, Mathematics Tests