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Yi Gui – ProQuest LLC, 2024
This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…
Descriptors: Writing Tests, Natural Language Processing, Writing Evaluation, Scoring
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Mercer, Sterett H.; Martinez, Rebecca S.; Faust, Dennis; Mitchell, Rachel R. – School Psychology Quarterly, 2012
We investigated the criterion-related validity of four indicators of curriculum-based measurement in writing (WCBM) when using expository versus narrative writing prompts as compared to the validity of passage copying speed. Specifically, we compared criterion-related validity of production-dependent (total words written, correct word sequences),…
Descriptors: Expository Writing, Writing Evaluation, Curriculum Based Assessment, Writing Tests
Blazer, Christie – Research Services, Miami-Dade County Public Schools, 2012
This Information Capsule answers the most frequently asked questions about M-DCPS' academic performance during the 2011-2012 school year. Over the past year, the Florida Department of Education made over 28 changes to the school grading formula, including the transition to new, more rigorous assessments, new accountability components, and…
Descriptors: Public Schools, Academic Achievement, School Effectiveness, Grading
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Attali, Yigal; Burstein, Jill – ETS Research Report Series, 2005
The e-raterĀ® system has been used by ETS for automated essay scoring since 1999. This paper describes a new version of e-rater (v.2.0) that differs from the previous one (v.1.3) with regard to the feature set and model building approach. The paper describes the new version, compares the new and previous versions in terms of performance, and…
Descriptors: Essay Tests, Automation, Scoring, Comparative Analysis