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Chen, Jing; Zhang, Mo; Bejar, Isaac I. – ETS Research Report Series, 2017
Automated essay scoring (AES) generally computes essay scores as a function of macrofeatures derived from a set of microfeatures extracted from the text using natural language processing (NLP). In the "e-rater"® automated scoring engine, developed at "Educational Testing Service" (ETS) for the automated scoring of essays, each…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essay Tests
Bejar, Isaac I. – Assessment in Education: Principles, Policy & Practice, 2011
Automated scoring of constructed responses is already operational in several testing programmes. However, as the methodology matures and the demand for the utilisation of constructed responses increases, the volume of automated scoring is likely to increase at a fast pace. Quality assurance and control of the scoring process will likely be more…
Descriptors: Evidence, Quality Control, Scoring, Quality Assurance
Peer reviewedWilliamson, David M.; Bejar, Isaac I.; Hone, Anne S. – Journal of Educational Measurement, 1999
Contrasts "mental models" used by automated scoring for the simulation division of the computerized Architect Registration Examination with those used by experienced human graders for 3,613 candidate solutions. Discusses differences in the models used and the potential of automated scoring to enhance the validity evidence of scores. (SLD)
Descriptors: Architects, Comparative Analysis, Computer Assisted Testing, Judges
Peer reviewedBejar, Isaac I. – Journal of Educational Measurement, 1984
Approaches proposed for educational diagnostic assessment are reviewed and identified as deficit assessment and error analysis. The development of diagnostic instruments may require a reexamination of existing psychometric models and development of alternative ones. The psychometric and content demands of diagnostic assessment all but require test…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Criterion Referenced Tests, Diagnostic Tests
Bejar, Isaac I. – 1996
Generative response modeling is an approach to test development and response modeling that calls for the creation of items in such a way that the parameters of the items on some response model can be anticipated through knowledge of the psychological processes and knowledge required to respond to the item. That is, the computer would not merely…
Descriptors: Ability, Computer Assisted Testing, Cost Effectiveness, Estimation (Mathematics)
Bejar, Isaac I. – 1986
This paper considers the feasibility of incorporating research results from cognitive science into the modeling of performance on psychometric tests and the construction of test items. The paper focuses on the feasibility of modeling performance on a three-dimensional rotation task within the context of Item Response Theory (IRT). To test the…
Descriptors: Cognitive Measurement, Cognitive Tests, Computer Assisted Testing, Difficulty Level
Bejar, Isaac I. – 1986
This report summarizes the results of research designed to study the psychometric and technological feasibility of adaptive testing to assess spatial ability. Data was collected from high school students on two types of spatial items: three-dimensional cubes and hidden figure items. The analysis of the three-dimensional cubes focused on the fit of…
Descriptors: Adaptive Testing, Algorithms, Cognitive Measurement, Computer Assisted Testing
Zechner, Klaus; Bejar, Isaac I.; Hemat, Ramin – ETS Research Report Series, 2007
The increasing availability and performance of computer-based testing has prompted more research on the automatic assessment of language and speaking proficiency. In this investigation, we evaluated the feasibility of using an off-the-shelf speech-recognition system for scoring speaking prompts from the LanguEdge field test of 2002. We first…
Descriptors: Role, Computer Assisted Testing, Language Proficiency, Oral Language
Ekstrom, Ruth B.; Bejar, Isaac I. – 1990
The history of the Educational Testing Service (ETS) Factor Kits is summarized. The original ETS Factor Kit was developed in 1954 and contained 51 items, three each for each of 15 factors and six for a 16th factor. The next edition was developed in 1963 and included adaptations (clones) of the defining tests instead of the exact copies. These…
Descriptors: Cognitive Processes, Cognitive Tests, Comparative Testing, Computer Assisted Testing
Peer reviewedBejar, Isaac I.; Braun, Henry I. – Machine-Mediated Learning, 1994
Argues that synergy between computer-based instruction and automated assessment is possible because of the common needs in assessment and instruction; outlines a framework for characterizing performance; and examines procedures developed as part of an ongoing project to develop fully automated scoring of architectural design for a licensing exam.…
Descriptors: Automation, Building Design, Computer Assisted Instruction, Computer Assisted Testing
Bejar, Isaac I.; And Others – 1977
Information provided by typical and improved conventional classroom achievement tests was compared with information provided by an adaptive test covering the same subject matter. Both tests were administered to over 700 college students in a general biology course. Using the same scoring method, adaptive testing was found to yield substantially…
Descriptors: Academic Achievement, Achievement Tests, Adaptive Testing, Biology

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