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Peter Baldwin; Victoria Yaneva; Kai North; Le An Ha; Yiyun Zhou; Alex J. Mechaber; Brian E. Clauser – Journal of Educational Measurement, 2025
Recent developments in the use of large-language models have led to substantial improvements in the accuracy of content-based automated scoring of free-text responses. The reported accuracy levels suggest that automated systems could have widespread applicability in assessment. However, before they are used in operational testing, other aspects of…
Descriptors: Artificial Intelligence, Scoring, Computational Linguistics, Accuracy
Wind, Stefanie A.; Jones, Eli – Journal of Educational Measurement, 2019
Researchers have explored a variety of topics related to identifying and distinguishing among specific types of rater effects, as well as the implications of different types of incomplete data collection designs for rater-mediated assessments. In this study, we used simulated data to examine the sensitivity of latent trait model indicators of…
Descriptors: Rating Scales, Models, Evaluators, Data Collection
Peer reviewedClauser, Brian E.; Clyman, Stephen G.; Swanson, David B. – Journal of Educational Measurement, 1999
Two studies focused on aspects of the rating process in performance assessment. The first, which involved 15 raters and about 400 medical students, made the "committee" facet of raters working in groups explicit, and the second, which involved about 200 medical students and four raters, made the "rating-occasion" facet…
Descriptors: Error Patterns, Evaluation Methods, Evaluators, Higher Education

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