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Foorman, Barbara; Espinosa, Anabel; Wood, Carla; Wu, Yi-Chieh – Regional Educational Laboratory Southeast, 2016
A top education priority in the United States is to address the needs of one of the fastest growing yet lowest performing student populations--English learner students (Capps et al., 2005). English learner students come from homes where a non-English language is spoken and need additional academic support to access the mainstream curriculum. These…
Descriptors: Computer Assisted Testing, Adaptive Testing, Literacy, English Language Learners
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Tara Wood – College Composition and Communication, 2017
This article shares findings from a qualitative study on the experiences of students with disabilities in college-level writing and writing-intensive classrooms. I argue that normative conceptions of time and production can negatively constrain student performance, and I offer the concept of crip time (borrowed from disability theorists and…
Descriptors: College Students, Students with Disabilities, Writing (Composition), Writing Instruction
Han, Kyung T.; Rudner, Lawrence M. – Graduate Management Admission Council, 2014
This study uses mixed integer quadratic programming (MIQP) to construct multiple highly equivalent item pools simultaneously, and compares the results from mixed integer programming (MIP). Three different MIP/MIQP models were implemented and evaluated using real CAT item pool data with 23 different content areas and a goal of equal information…
Descriptors: Item Banks, Programming, Computer Assisted Testing, Adaptive Testing
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Belov, Dmitry I. – Journal of Educational Measurement, 2013
The development of statistical methods for detecting test collusion is a new research direction in the area of test security. Test collusion may be described as large-scale sharing of test materials, including answers to test items. Current methods of detecting test collusion are based on statistics also used in answer-copying detection.…
Descriptors: Cheating, Computer Assisted Testing, Adaptive Testing, Statistical Analysis
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Patton, Jeffrey M.; Cheng, Ying; Yuan, Ke-Hai; Diao, Qi – Applied Psychological Measurement, 2013
Variable-length computerized adaptive testing (VL-CAT) allows both items and test length to be "tailored" to examinees, thereby achieving the measurement goal (e.g., scoring precision or classification) with as few items as possible. Several popular test termination rules depend on the standard error of the ability estimate, which in turn depends…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Length, Ability
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Gierl, Mark J.; Lai, Hollis; Li, Johnson – Educational Research and Evaluation, 2013
The purpose of this study is to evaluate the performance of CATSIB (Computer Adaptive Testing-Simultaneous Item Bias Test) for detecting differential item functioning (DIF) when items in the matching and studied subtest are administered adaptively in the context of a realistic multi-stage adaptive test (MST). MST was simulated using a 4-item…
Descriptors: Adaptive Testing, Test Bias, Computer Assisted Testing, Test Items
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Chen, Ching-Huei; Chang, Shu-Wei – Journal of Educational Multimedia and Hypermedia, 2015
The purpose of this study was to explore the effectiveness of adaptive assessment versus learner control in a multimedia learning system designed to help secondary students learn science. Unlike other systems, this paper presents a workflow of adaptive assessment following instructional materials that better align with learners' cognitive…
Descriptors: Secondary School Students, Science Instruction, Secondary School Science, Learner Controlled Instruction
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Tilchin, Oleg; Raiyn, Jamal – International Journal of Higher Education, 2015
Solving complicated problems in a contemporary knowledge-based society requires higher-order thinking (HOT). The most productive way to encourage development of HOT in students is through use of the Problem-based Learning (PBL) model. This model organizes learning by solving corresponding problems relative to study courses. Students are directed…
Descriptors: Computer Assisted Testing, Problem Based Learning, Abstract Reasoning, Thinking Skills
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Zhang, Jinming; Li, Jie – Journal of Educational Measurement, 2016
An IRT-based sequential procedure is developed to monitor items for enhancing test security. The procedure uses a series of statistical hypothesis tests to examine whether the statistical characteristics of each item under inspection have changed significantly during CAT administration. This procedure is compared with a previously developed…
Descriptors: Computer Assisted Testing, Test Items, Difficulty Level, Item Response Theory
Yagci, Mustafa; Ünal, Menderes – Online Submission, 2014
A design and application of adaptive online exam system are carried out in this paper. Adaptive exam systems determine different question sets automatically and interactively for each student and measure their competence on a certain area of discipline instead of comparing their gains with each other. Through an adaptive exam technique, a…
Descriptors: Adaptive Testing, Expertise, Information Security, Databases
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Han, Kyung T. – Applied Psychological Measurement, 2012
Most, if not all, computerized adaptive testing (CAT) programs use simulation techniques to develop and evaluate CAT program administration and operations, but such simulation tools are rarely available to the public. Up to now, several software tools have been available to conduct CAT simulations for research purposes; however, these existing…
Descriptors: Computer Assisted Testing, Adaptive Testing, Computer Software, Computer Simulation
He, Wei; Diao, Qi; Hauser, Carl – Online Submission, 2013
This study compares the four existing procedures handling the item selection in severely constrained computerized adaptive tests (CAT). These procedures include weighted deviation model (WDM), weighted penalty model (WPM), maximum priority index (MPI), and shadow test approach (STA). Severely constrained CAT refer to those adaptive tests seeking…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Item Banks
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Thissen, David – Journal of Educational and Behavioral Statistics, 2016
David Thissen, a professor in the Department of Psychology and Neuroscience, Quantitative Program at the University of North Carolina, has consulted and served on technical advisory committees for assessment programs that use item response theory (IRT) over the past couple decades. He has come to the conclusion that there are usually two purposes…
Descriptors: Item Response Theory, Test Construction, Testing Problems, Student Evaluation
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Coster, Wendy J.; Kramer, Jessica M.; Tian, Feng; Dooley, Meghan; Liljenquist, Kendra; Kao, Ying-Chia; Ni, Pengsheng – Autism: The International Journal of Research and Practice, 2016
The Pediatric Evaluation of Disability Inventory-Computer Adaptive Test is an alternative method for describing the adaptive function of children and youth with disabilities using a computer-administered assessment. This study evaluated the performance of the Pediatric Evaluation of Disability Inventory-Computer Adaptive Test with a national…
Descriptors: Autism, Pervasive Developmental Disorders, Computer Assisted Testing, Adaptive Testing
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Wang, Chun – Journal of Educational and Behavioral Statistics, 2014
Many latent traits in social sciences display a hierarchical structure, such as intelligence, cognitive ability, or personality. Usually a second-order factor is linearly related to a group of first-order factors (also called domain abilities in cognitive ability measures), and the first-order factors directly govern the actual item responses.…
Descriptors: Measurement, Accuracy, Item Response Theory, Adaptive Testing
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