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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
Wilson, Joshua; Rodrigues, Jessica – Grantee Submission, 2020
The present study leveraged advances in automated essay scoring (AES) technology to explore a proof of concept for a writing screener using the "Project Essay Grade" (PEG) program. First, the study investigated the extent to which an AES-scored multi-prompt writing screener accurately classified students as at risk of failing a Common…
Descriptors: Writing Tests, Screening Tests, Classification, Accuracy
Valentine, Katherine A.; Truckenmiller, Adrea J.; Troia, Gary A.; Aldridge, Sydney – Grantee Submission, 2021
Understanding students' progress towards meeting grade-level expectations within an academic year is the goal of many education stakeholders so that they can make decisions to adjust instruction and improve students' learning trajectories. The purpose of this study was to explore 4th and 5th grade students' progress towards meeting expectations in…
Descriptors: Elementary School Students, Grade 4, Grade 5, Writing Skills
