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The Science of Doubt: Creating Good Controls for Data Science Experiments.


Adaptive learning technology is used to provide personalized learning experiences for students. A common implementation provides individualized follow-up assignments for struggling students. Using observed data, we show how to use bootstrapping and rejection sampling to create a valid comparative study of groups of students who do and don’t use adaptive technology, even when the samples are not uncorrelated.


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