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Cheng, Yiling – Measurement: Interdisciplinary Research and Perspectives, 2023
Computerized adaptive testing (CAT) offers an efficient and highly accurate method for estimating examinees' abilities. In this article, the free version of Concerto Software for CAT was reviewed, dividing our evaluation into three sections: software implementation, the Item Response Theory (IRT) features of CAT, and user experience. Overall,…
Descriptors: Computer Software, Computer Assisted Testing, Adaptive Testing, Item Response Theory
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Barrett, Michelle D.; Jiang, Bingnan; Feagler, Bridget E. – International Journal of Artificial Intelligence in Education, 2022
The appeal of a shorter testing time makes a computer adaptive testing approach highly desirable for use in multiple assessment and learning contexts. However, for those who have been tasked with designing, configuring, and deploying adaptive tests for operational use at scale, preparing an adaptive test is anything but simple. The process often…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Construction, Design Requirements
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Lim, Hwanggyu; Choe, Edison M. – Journal of Educational Measurement, 2023
The residual differential item functioning (RDIF) detection framework was developed recently under a linear testing context. To explore the potential application of this framework to computerized adaptive testing (CAT), the present study investigated the utility of the RDIF[subscript R] statistic both as an index for detecting uniform DIF of…
Descriptors: Test Items, Computer Assisted Testing, Item Response Theory, Adaptive Testing
Cole, Shelbi K.; Swanson, Carey – Smarter Balanced Assessment Consortium, 2022
Over the past few years, several states have begun to explore or pilot different through-year assessments to serve as replacements to the traditional end-of-year summative assessments that are currently the predominant source of information used by states to meet federal accountability requirements. While there are several different assessment…
Descriptors: Instructional Materials, Computer Assisted Testing, Adaptive Testing, Student Evaluation
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Gardner, John; O'Leary, Michael; Yuan, Li – Journal of Computer Assisted Learning, 2021
Artificial Intelligence is at the heart of modern society with computers now capable of making process decisions in many spheres of human activity. In education, there has been intensive growth in systems that make formal and informal learning an anytime, anywhere activity for billions of people through online open educational resources and…
Descriptors: Artificial Intelligence, Educational Assessment, Formative Evaluation, Summative Evaluation
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Clay Gransden; Matthew Hindmarsh; Ngoc Chi Lê; Thi-Huyen Nguyen – Higher Education, Skills and Work-based Learning, 2024
Purpose: There is an increase globally of students using technology to support their learning. The purpose of this paper is to outline the technical aspects of adaptive learning and contribute to the development of pedagogy that incorporates this method in teaching and learning. Design/methodology/approach: This is a technical review article that…
Descriptors: Foreign Countries, Teaching Methods, Technology Uses in Education, Asynchronous Communication
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Jewsbury, Paul A.; van Rijn, Peter W. – Journal of Educational and Behavioral Statistics, 2020
In large-scale educational assessment data consistent with a simple-structure multidimensional item response theory (MIRT) model, where every item measures only one latent variable, separate unidimensional item response theory (UIRT) models for each latent variable are often calibrated for practical reasons. While this approach can be valid for…
Descriptors: Item Response Theory, Computation, Test Items, Adaptive Testing
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Cui, Zhongmin; Liu, Chunyan; He, Yong; Chen, Hanwei – Journal of Educational Measurement, 2018
Allowing item review in computerized adaptive testing (CAT) is getting more attention in the educational measurement field as more and more testing programs adopt CAT. The research literature has shown that allowing item review in an educational test could result in more accurate estimates of examinees' abilities. The practice of item review in…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Test Wiseness
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Stephen G. Sireci; Javier Suárez-Álvarez; April L. Zenisky; Maria Elena Oliveri – Grantee Submission, 2024
The goal in personalized assessment is to best fit the needs of each individual test taker, given the assessment purposes. Design-In-Real-Time (DIRTy) assessment reflects the progressive evolution in testing from a single test, to an adaptive test, to an adaptive assessment "system." In this paper, we lay the foundation for DIRTy…
Descriptors: Educational Assessment, Student Needs, Test Format, Test Construction
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Cappaert, Kevin J.; Wen, Yao; Chang, Yu-Feng – Measurement: Interdisciplinary Research and Perspectives, 2018
Events such as curriculum changes or practice effects can lead to item parameter drift (IPD) in computer adaptive testing (CAT). The current investigation introduced a point- and weight-adjusted D[superscript 2] method for IPD detection for use in a CAT environment when items are suspected of drifting across test administrations. Type I error and…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Items, Identification
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Khalifa, Wiem Ben; Souilem, Dalila; Neji, Mahmoud – International Association for Development of the Information Society, 2017
Regardless of the study level, the assessments applied in the different educational institutions in Tunisia raise many questions. Do these practices indicate the learners' cognitive metamorphoses? Do formative and summative evaluations intend to access knowledge acquisition at the expense of understanding? Is the content of the evaluation…
Descriptors: Foreign Countries, Elementary School Students, Educational Assessment, Student Evaluation
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Sahin, Alper; Hurtado Grooscors, Hector Armando; Góngora-Cortés, Jose Juan – Measurement: Interdisciplinary Research and Perspectives, 2018
Computerized adaptive tests (CATs) have received wider attention throughout the world in recent years mainly because they provide their users with higher precision in examinee ability estimation with less items by the help of the sound psychometric principals they are based on. The recent attention necessitates the need for platforms on which CATs…
Descriptors: Adaptive Testing, Computer Assisted Testing, Psychometrics, Feasibility Studies
Poulsen, Helen – Online Submission, 2020
This report examines the Spanish language proficiency of fifth-grade students enrolled in the two-way Dual Language (DL) Program. Both native and non-native English speakers' Spanish language proficiency was assessed with the STAMP 4Se assessment in Spring 2020. Students were assessed on four domains of Spanish language proficiency (reading,…
Descriptors: Grade 5, Elementary School Students, Spanish, Language Proficiency
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Wise, Steven L.; Kingsbury, G. Gage; Webb, Norman L. – Educational Measurement: Issues and Practice, 2015
The alignment between a test and the content domain it measures represents key evidence for the validation of test score inferences. Although procedures have been developed for evaluating the content alignment of linear tests, these procedures are not readily applicable to computerized adaptive tests (CATs), which require large item pools and do…
Descriptors: Computer Assisted Testing, Adaptive Testing, Alignment (Education), Test Content
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Thompson, Greg – British Journal of Sociology of Education, 2017
This article critically considers the promise of computer adaptive testing (CAT) and digital data to provide better and quicker data that will improve the quality, efficiency and effectiveness of schooling. In particular, it uses the case of the Australian NAPLAN test that will become an online, adaptive test from 2016. The article argues that…
Descriptors: Foreign Countries, Computer Assisted Testing, Adaptive Testing, National Competency Tests
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