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The Bias-Variance Tradeoff: How Data Science Can Inform Educational Debates
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Doroudi, Shayan – AERA Open, 2020
In addition to providing a set of techniques to analyze educational data, I claim that data science as a field can provide broader insights to education research. In particular, I show how the bias-variance tradeoff from machine learning can be formally generalized to be applicable to several prominent educational debates, including debates around…
Descriptors: Data Analysis, Learning Theories, Teaching Methods, Educational Research