BRIDGE reduces bias against high-scoring ELL students in automated scoring by generating synthetic samples via inter-group content pasting and quality discrimination, achieving fairness gains comparable to additional real data.
International Journal of Artificial Intelligence in Education pp
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BRIDGE the Gap: Mitigating Bias Amplification in Automated Scoring of English Language Learners via Inter-group Data Augmentation
BRIDGE reduces bias against high-scoring ELL students in automated scoring by generating synthetic samples via inter-group content pasting and quality discrimination, achieving fairness gains comparable to additional real data.