Publication Date
| In 2026 | 0 |
| Since 2025 | 19 |
| Since 2022 (last 5 years) | 92 |
| Since 2017 (last 10 years) | 191 |
| Since 2007 (last 20 years) | 439 |
Descriptor
| Adaptive Testing | 1052 |
| Computer Assisted Testing | 1052 |
| Test Items | 448 |
| Item Response Theory | 284 |
| Test Construction | 274 |
| Item Banks | 232 |
| Simulation | 195 |
| Comparative Analysis | 139 |
| Foreign Countries | 117 |
| Higher Education | 104 |
| Test Format | 99 |
| More ▼ | |
Source
Author
Publication Type
Education Level
Location
| Taiwan | 11 |
| Australia | 8 |
| Netherlands | 8 |
| New York | 8 |
| Turkey | 8 |
| United Kingdom | 8 |
| California | 7 |
| Spain | 6 |
| Canada | 5 |
| China | 5 |
| Denmark | 5 |
| More ▼ | |
Laws, Policies, & Programs
| No Child Left Behind Act 2001 | 7 |
| Education Consolidation… | 1 |
| Every Student Succeeds Act… | 1 |
| Race to the Top | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Wang, Chao; Lu, Hong – Educational Technology & Society, 2018
This study focused on the effect of examinees' ability levels on the relationship between Reflective-Impulsive (RI) cognitive style and item response time in computerized adaptive testing (CAT). The total of 56 students majoring in Educational Technology from Shandong Normal University participated in this study, and their RI cognitive styles were…
Descriptors: Item Response Theory, Computer Assisted Testing, Cognitive Style, Correlation
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
Davis, Marcia H.; Wang, Wenhao; Kingston, Neal M.; Hock, Michael; Tonks, Stephen M.; Tiemann, Gail – Grantee Submission, 2020
Background: The importance of reading motivation has led to the development of a large number of self-report reading motivation measures; however, there is still a need for a usable measure of adolescent reading motivation that captures a large number of theoretically and empirically distinct constructs. Methods: The current paper details the…
Descriptors: Reading Motivation, Computer Assisted Testing, Adaptive Testing, Measures (Individuals)
Istiyono, Edi; Dwandaru, Wipsar Sunu Brams; Lede, Yulita Adelfin; Rahayu, Farida; Nadapdap, Amipa – International Journal of Instruction, 2019
The objective of this study was to develop Physics critical thinking skill test using computerized adaptive test (CAT) based on item response theory (IRT). This research was a development research using 4-D (define, design, develop, and disseminate). The content validity of the items was proven using Aiken's V. The test trial involved 252 students…
Descriptors: Critical Thinking, Thinking Skills, Cognitive Tests, Physics
Mao, Xiuzhen; Ozdemir, Burhanettin; Wang, Yating; Xiu, Tao – Online Submission, 2016
Four item selection indexes with and without exposure control are evaluated and compared in multidimensional computerized adaptive testing (CAT). The four item selection indices are D-optimality, Posterior expectation Kullback-Leibler information (KLP), the minimized error variance of the linear combination score with equal weight (V1), and the…
Descriptors: Comparative Analysis, Adaptive Testing, Computer Assisted Testing, Test Items
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
Abidin, Aang Zainul; Istiyono, Edi; Fadilah, Nunung; Dwandaru, Wipsar Sunu Brams – International Journal of Evaluation and Research in Education, 2019
Classical assessments that are not comprehensive and do not distinguish students' initial abilities make measurement results far from the actual abilities. This study was conducted to produce a computerized adaptive test for physics critical thinking skills (CAT-PhysCriTS) that met the feasibility criteria. The test was presented for the physics…
Descriptors: Foreign Countries, High School Students, Grade 11, Physics
Senel, Selma; Kutlu, Ömer – European Journal of Special Needs Education, 2018
This paper examines listening comprehension skills of visually impaired students (VIS) using computerised adaptive testing (CAT) and reader-assisted paper-pencil testing (raPPT) and student views about them. Explanatory mixed method design was used in this study. Sample is comprised of 51 VIS, in 7th and 8th grades. 9 of these students were…
Descriptors: Computer Assisted Testing, Adaptive Testing, Visual Impairments, Student Attitudes
Leroux, Audrey J.; Dodd, Barbara G. – Journal of Experimental Education, 2016
The current study compares the progressive-restricted standard error (PR-SE) exposure control method with the Sympson-Hetter, randomesque, and no exposure control (maximum information) procedures using the generalized partial credit model with fixed- and variable-length CATs and two item pools. The PR-SE method administered the entire item pool…
Descriptors: Computer Assisted Testing, Adaptive Testing, Comparative Analysis, Error of Measurement
Yang, Lihong – ProQuest LLC, 2016
In recent years, the multistage adaptive test (MST) has gained increasing popularity in the field of educational measurement and operational testing. MST refers to a test in which pre-constructed sets of items are administered adaptively and are scored as a unit (Hendrickson, 2007). As a special case of Computerized Adaptive Testing (CAT), a MST…
Descriptors: Item Banks, Computer Assisted Testing, Adaptive Testing, Test Construction
Luo, Xin; Reckase, Mark D.; He, Wei – AERA Online Paper Repository, 2016
While dichotomous item dominates the application of computerized adaptive testing (CAT), polytomous item and set-based item hold promises for being incorporated in CAT. However, how to assemble a CAT containing mixed item formats is challenging. This study investigated: (1) how the mixed CAT works compared with the dichotomous-item-based CAT; (2)…
Descriptors: Test Items, Test Format, Computer Assisted Testing, Adaptive Testing
Van Norman, Ethan R.; Ysseldyke, James E. – School Psychology Review, 2020
Within multitiered systems of support, assessment practices that limit the amount of time students miss instruction should be prioritized. At the same time, decisions about student response to intervention need to be based upon technically adequate data. We evaluated the impact of data collection frequency and trend estimation method on the…
Descriptors: Data Collection, Adaptive Testing, Computer Assisted Testing, Computation
Lin, Yin; Brown, Anna – Educational and Psychological Measurement, 2017
A fundamental assumption in computerized adaptive testing is that item parameters are invariant with respect to context--items surrounding the administered item. This assumption, however, may not hold in forced-choice (FC) assessments, where explicit comparisons are made between items included in the same block. We empirically examined the…
Descriptors: Personality Measures, Measurement Techniques, Context Effect, Test Items
Aybek, Eren Can; Demirtasli, R. Nukhet – International Journal of Research in Education and Science, 2017
This article aims to provide a theoretical framework for computerized adaptive tests (CAT) and item response theory models for polytomous items. Besides that, it aims to introduce the simulation and live CAT software to the related researchers. Computerized adaptive test algorithm, assumptions of item response theory models, nominal response…
Descriptors: Computer Assisted Testing, Adaptive Testing, Item Response Theory, Test Items
Albacete, Patricia; Silliman, Scott; Jordan, Pamela – Grantee Submission, 2017
Intelligent tutoring systems (ITS), like human tutors, try to adapt to student's knowledge level so that the instruction is tailored to their needs. One aspect of this adaptation relies on the ability to have an understanding of the student's initial knowledge so as to build on it, avoiding teaching what the student already knows and focusing on…
Descriptors: Intelligent Tutoring Systems, Knowledge Level, Multiple Choice Tests, Computer Assisted Testing

Peer reviewed
Direct link
