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Ikkyu Choi; Matthew S. Johnson – Journal of Educational Measurement, 2025
Automated scoring systems provide multiple benefits but also pose challenges, notably potential bias. Various methods exist to evaluate these algorithms and their outputs for bias. Upon detecting bias, the next logical step is to investigate its cause, often by examining feature distributions. Recently, Johnson and McCaffrey proposed an…
Descriptors: Prediction, Bias, Automation, Scoring

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