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Chu, Man-Wai; Lai, Hollis – Alberta Journal of Educational Research, 2013
In educational assessment, there is an increasing demand for tailoring assessments to individual examinees through computer adaptive tests (CAT). As such, it is particularly important to investigate the fairness of these adaptive testing processes, which require the investigation of differential item function (DIF) to yield information about item…
Descriptors: Educational Assessment, Test Bias, Computer Assisted Testing, Adaptive Testing
Pohl, Steffi – Journal of Educational Measurement, 2013
This article introduces longitudinal multistage testing (lMST), a special form of multistage testing (MST), as a method for adaptive testing in longitudinal large-scale studies. In lMST designs, test forms of different difficulty levels are used, whereas the values on a pretest determine the routing to these test forms. Since lMST allows for…
Descriptors: Adaptive Testing, Longitudinal Studies, Difficulty Level, Comparative Analysis
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
Ting, M.-Y.; Kuo, B.-C. – Journal of Computer Assisted Learning, 2016
The purpose of this study was to investigate the effect of a calculus system that was designed using an adaptive dynamic assessment (DA) framework on performance in the "finding an area using an integral". In this study, adaptive testing and dynamic assessment were combined to provide different test items depending on students'…
Descriptors: Calculus, Alternative Assessment, Models, Test Items
Ngo, Federick; Melguizo, Tatiana – Educational Evaluation and Policy Analysis, 2016
Changing placement policy may help to improve developmental education student outcomes in community colleges, but there is little understanding of the impacts of these reforms. We take advantage of heterogeneous placement policy in a large urban community college district in California to compare the effects of math remediation under different…
Descriptors: Mathematics Instruction, Community Colleges, Urban Schools, Student Placement
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
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
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
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
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
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
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
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
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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