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Implications of Bias in Automated Writing Quality Scores for Fair and Equitable Assessment Decisions
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Direct linkMichael Matta; Sterett H. Mercer; Milena A. Keller-Margulis – Grantee Submission, 2023
Recent advances in automated writing evaluation have enabled educators to use automated writing quality scores to improve assessment feasibility. However, there has been limited investigation of bias for automated writing quality scores with students from diverse racial or ethnic backgrounds. The use of biased scores could contribute to…
Descriptors: Bias, Automation, Writing Evaluation, Scoring
