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Baker, Bruce D. – Economics of Education Review, 2001
Explores whether flexible nonlinear models (including neural networks and genetic algorithms) can reveal otherwise unexpected patterns of relationship in typical school-productivity data. Applying three types of algorithms alongside regression modeling to school-level data in 183 elementary schools proves the hypothesis and reveals new directions…
Descriptors: Algorithms, Elementary Education, Evaluation Methods, Mathematical Models