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Showing all 9 results Save | Export
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Mustafa Yildiz; Hasan Kagan Keskin; Saadin Oyucu; Douglas K. Hartman; Murat Temur; Mücahit Aydogmus – Reading & Writing Quarterly, 2025
This study examined whether an artificial intelligence-based automatic speech recognition system can accurately assess students' reading fluency and reading level. Participants were 120 fourth-grade students attending public schools in Türkiye. Students read a grade-level text out loud while their voice was recorded. Two experts and the artificial…
Descriptors: Artificial Intelligence, Reading Fluency, Human Factors Engineering, Grade 4
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Qian, Hong; Staniewska, Dorota; Reckase, Mark; Woo, Ada – Educational Measurement: Issues and Practice, 2016
This article addresses the issue of how to detect item preknowledge using item response time data in two computer-based large-scale licensure examinations. Item preknowledge is indicated by an unexpected short response time and a correct response. Two samples were used for detecting item preknowledge for each examination. The first sample was from…
Descriptors: Reaction Time, Licensing Examinations (Professions), Computer Assisted Testing, Prior Learning
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Colwell, Nicole Makas – Journal of Education and Training Studies, 2013
This paper highlights the current findings and issues regarding the role of computer-adaptive testing in test anxiety. The computer-adaptive test (CAT) proposed by one of the Common Core consortia brings these issues to the forefront. Research has long indicated that test anxiety impairs student performance. More recent research indicates that…
Descriptors: Test Anxiety, Computer Assisted Testing, Evaluation Methods, Standardized Tests
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Lunz, Mary E.; Bergstrom, Betty – Journal of Educational Computing Research, 1995
Describes a study that was conducted to track the effect of candidate response patterns on a computerized adaptive test. The effect of altering responses on estimated candidate ability, test tailoring, and test precision across segments of adaptive tests and groups of candidates is examined. (Author/LRW)
Descriptors: Ability Identification, Adaptive Testing, Computer Assisted Testing, Response Style (Tests)
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Folk, Valerie Greaud; Green, Bert F. – Applied Psychological Measurement, 1989
Some effects of using unidimensional item response theory (IRT) were examined when the assumption of unidimensionality was violated. Adaptive and nonadaptive tests were used. It appears that use of a unidimensional model can bias parameter estimation, adaptive item selection, and ability estimation for the two types of testing. (TJH)
Descriptors: Ability Identification, Adaptive Testing, Computer Assisted Testing, Computer Simulation
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Halkitis, Perry N. – Journal of Outcome Measurement, 1998
The precision of a computerized adaptive test (CAT) with a limited item pool was measured using test results from 4,494 nursing students. Regardless of the item pool size, CAT provides greater precision in measurement with a smaller number of items administered even when the choice of items is limited, but CAT fails to achieve equiprecision along…
Descriptors: Ability Identification, Adaptive Testing, College Students, Computer Assisted Testing
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Henly, Susan J.; And Others – Applied Psychological Measurement, 1989
A group of covariance structure models was examined to ascertain the similarity between conventionally administered and computerized adaptive versions of the Differential Aptitude Test (DAT). Results for 332 students indicate that the computerized version of the DAT is an adequate representation of the conventional test battery. (TJH)
Descriptors: Ability Identification, Adaptive Testing, Comparative Testing, Computer Assisted Testing
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Wise, Steven L.; Plake, Barbara S. – Educational Measurement: Issues and Practice, 1989
Research dealing with the administration of tests via computer is reviewed. Several issues related to computerized testing are discussed, and areas in need of additional research are identified. The focus is on education-related ability and achievement testing; psychological tests and computer-based simulations are not addressed. (SLD)
Descriptors: Ability Identification, Achievement Tests, Computer Assisted Testing, Computer Uses in Education
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De Ayala, R. J.; And Others – Journal of Educational Measurement, 1990
F. M. Lord's flexilevel, computerized adaptive testing (CAT) procedure was compared to an item-response theory-based CAT procedure that uses Bayesian ability estimation with various standard errors of estimates used for terminating the test. Ability estimates of flexilevel CATs were as accurate as were those of Bayesian CATs. (TJH)
Descriptors: Ability Identification, Adaptive Testing, Bayesian Statistics, Comparative Analysis