Explainable Data Imputation using Constraints

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Data values in a dataset can be missing or anomalous due to mishandling or human error. Analysing data with missing values can create bias and affect the inferences. Several analysis methods, such as principle components analysis or singular value decomposition, … Continued

Measuring Knowledge

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“… The central assumption in this paper is that mastery of tasks within a well-defined level is a true or foundational measure of knowledge. We can chart mastery within levels and compare knowledge and growth across children on a common microscale. Children can either perform … Continued

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