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Using Neural Network and Logistic Regression Analysis to Predict Prospective Mathematics Teachers' Academic Success upon Entering Graduate Education

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Bahadir, Elif – Educational Sciences: Theory and Practice, 2016

The ability to predict the success of students when they enter a graduate program is critical for educational institutions because it allows them to develop strategic programs that will help improve students' performances during their stay at an institution. In this study, we present the results of an experimental comparison study of Logistic…

Descriptors: Regression (Statistics), Prediction, Academic Achievement, Predictor Variables