Automated Essay Scoring (AES) tools aim to improve the efficiency and consistency of essay scoring by using machine learning algorithms. In the existing research work on this topic, most researchers agree that human-automated score agreement remains the benchmark for assessing the accuracy of machine-generated scores. To measure the performance of…

This paper describes a study comparing paper-based marking (PBM) and onscreen marking (OSM) in Hong Kong utilising English language essay scripts drawn from the live 2007 Hong Kong Certificate of Education Examination (HKCEE) Year 11 English Language Writing Paper. In the study, 30 raters from the 2007 HKCEE Writing Paper marked on paper 100…

The objective of this study was to determine the degree to which recommendations for passing scores, calculated on the basis of a traditional standard-setting methodology, might be affected by the mode (paper versus computer-screen prints) in which test items were presented to standard setting panelists. Results were based on the judgments of 31…

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…

A standard-setting procedure was developed for the Georgia Teacher Certification Testing Program as tests in 30 teaching fields were revised. A list of important characteristics of a standard-setting procedure was derived, drawing on the work of R. A. Berk (1986). The best method was found to be a highly formalized judgmental, empirical Angoff…