In the current study, two pools of 250 essays, all written as a response to the same prompt, were rated by two groups of raters (14 or 15 raters per group), thereby providing an approximation to the essay's true score. An automated essay scoring (AES) system was trained on the datasets and then scored the essays using a cross-validation scheme. By…

This study sought to provide a framework for evaluating machine score-ability of items using a new score-ability rating scale, and to determine the extent to which ratings were predictive of observed automated scoring performance. The study listed and described a set of factors that are thought to influence machine score-ability; these factors…

This article discusses critical methodological design decisions for collecting, interpreting, and synthesizing empirical evidence during the design, deployment, and operational quality-control phases for automated scoring systems. The discussion is inspired by work on operational large-scale systems for automated essay scoring but many of the…

Automated essay scoring is a developing technology that can provide efficient scoring of large numbers of written responses. Its use in higher education admissions testing provides an opportunity to collect validity and fairness evidence to support current uses and inform its emergence in other areas such as K-12 large-scale assessment. In this…

Performed generalizability analyses of expert ratings and computer-produced scores for a computer-delivered performance assessment of physicians' patient management skills. The two automated scoring systems produced scores for the 200 medical students that were approximately as generalizable as those produced by the four expert raters. (SLD)

Six papers on the use of partial credit item response theory score models in applied measurement settings are presented. These applications include the scoring of medical certification examinations using computer-based patient simulations, narrative writing tests, and educational diagnosis. (TJH)

Issues that must be addressed in the large-scale application of computerized adaptive testing are explored, including considerations of test design, scoring, test administration, item and item bank development, and other aspects of test construction. Possible solutions and areas in which additional work is needed are identified. (SLD)

Describes an automated scoring algorithm for a computer-based simulation examination of physicians' patient-management skills. Results with 280 medical students show that scores produced using this algorithm are highly correlated to actual clinician ratings. Scores were also effective in discriminating between case performance judged passing or…