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Implications of Bias in Automated Writing Quality Scores for Fair and Equitable Assessment Decisions
Peer reviewed
Direct linkMatta, Michael; Mercer, Sterett H.; Keller-Margulis, Milena A. – School Psychology, 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
Keller-Margulis, Milena A.; Mercer, Sterett H.; Matta, Michael – Reading and Writing: An Interdisciplinary Journal, 2021
Existing approaches to measuring writing performance are insufficient in terms of both technical adequacy as well as feasibility for use as a screening measure. This study examined the validity and diagnostic accuracy of several approaches to automated text evaluation as well as written expression curriculum-based measurement (WE-CBM) to determine…
Descriptors: Writing Evaluation, Validity, Automation, Curriculum Based Assessment
Download full textKeller-Margulis, Milena A.; Mercer, Sterett H.; Matta, Michael – Grantee Submission, 2021
Existing approaches to measuring writing performance are insufficient in terms of both technical adequacy as well as feasibility for use as a screening measure. This study examined the validity and diagnostic accuracy of several approaches to automated text evaluation as well as written expression curriculum-based measurement (WE-CBM) to determine…
Descriptors: Writing Evaluation, Validity, Automation, Curriculum Based Assessment
