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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
Liu, Shuchang; Cai, Yan; Tu, Dongbo – Journal of Educational Measurement, 2018
This study applied the mode of on-the-fly assembled multistage adaptive testing to cognitive diagnosis (CD-OMST). Several and several module assembly methods for CD-OMST were proposed and compared in terms of measurement precision, test security, and constrain management. The module assembly methods in the study included the maximum priority index…
Descriptors: Adaptive Testing, Monte Carlo Methods, Computer Security, Clinical Diagnosis

Kalohn, John C.; Spray, Judith A. – Journal of Educational Measurement, 1999
Examined the effects of model misspecification on the precision of decisions made using the sequential probability ratio test (SPRT) in computer testing. Simulation results show that the one-parameter logistic model produced more errors than the true model. (SLD)
Descriptors: Classification, Computer Assisted Testing, Decision Making, Models