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Uto, Masaki; Aomi, Itsuki; Tsutsumi, Emiko; Ueno, Maomi – IEEE Transactions on Learning Technologies, 2023
In automated essay scoring (AES), essays are automatically graded without human raters. Many AES models based on various manually designed features or various architectures of deep neural networks (DNNs) have been proposed over the past few decades. Each AES model has unique advantages and characteristics. Therefore, rather than using a single-AES…
Descriptors: Prediction, Scores, Computer Assisted Testing, Scoring
Whittaker, Tiffany A.; Williams, Natasha J.; Dodd, Barbara G. – Educational Assessment, 2011
This study assessed the interpretability of scaled scores based on either number correct (NC) scoring for a paper-and-pencil test or one of two methods of scoring computer-based tests: an item pattern (IP) scoring method and a method based on equated NC scoring. The equated NC scoring method for computer-based tests was proposed as an alternative…
Descriptors: Computer Assisted Testing, Scoring, Test Interpretation, Equated Scores
Pommerich, Mary – Educational Measurement: Issues and Practice, 2012
Neil Dorans has made a career of advocating for the examinee. He continues to do so in his NCME career award address, providing a thought-provoking commentary on some current trends in educational measurement that could potentially affect the integrity of test scores. Concerns expressed in the address call attention to a conundrum that faces…
Descriptors: Testing, Scores, Measurement, Test Construction
Stocking, Martha L. – 1994
Modern applications of computerized adaptive testing (CAT) are typically grounded in item response theory (IRT; Lord, 1980). While the IRT foundations of adaptive testing provide a number of approaches to adaptive test scoring that may seem natural and efficient to psychometricians, these approaches may be more demanding for test takers, test…
Descriptors: Adaptive Testing, Computer Assisted Testing, Difficulty Level, Equated Scores
Lam, Tit-Loong; Foong, Yoke-Yeen – 1991
This simulation study involved the design of two two-stage tests in which the routing tests and the second-stage measurement testlets took the form of a multidimensional knapsack problem with prespecified target informations and constraints to be enumerated using the algorithm of E. Balas. Two conventional tests of similar length to the two-stage…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Computer Simulation

Patience, Wayne – Journal of Educational Measurement, 1990
The four main subsystems of the MicroCAT Testing System for developing, administering, scoring, and analyzing computerized tests using conventional or item response theory methods are described. Judgments of three users of the system are included in the evaluation of this software. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Software, Computer Software Reviews
Adams, Raymond J.; Khoo, Siek-Toon – 1993
The Quest program offers a comprehensive test and questionnaire analysis environment by providing a data analyst (a computer program) with access to the most recent developments in Rasch measurement theory, as well as a range of traditional analysis procedures. This manual helps the user use Quest to construct and validate variables based on…
Descriptors: Computer Assisted Testing, Computer Software, Estimation (Mathematics), Foreign Countries
Lam, Peter; Foong, Yoke-Yeen – 1996
This study attempts to estimate Structure of Learning Outcome (SOLO) levels in mathematics using the Partial Credit and Rating Scale models. A 30-item test comprising 10 testlets of 3 items each was designed and administered to 674 lower secondary school students. The items were arranged in a hierarchical manner, each testing SOLO levels in this…
Descriptors: Classification, Computer Assisted Testing, Foreign Countries, Goodness of Fit