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Alper Gülay; Emre Cumali; Damla Cumali – International Journal of Contemporary Educational Research, 2024
This qualitative phenomenological study explores the experiences of parents of children with special needs in Turkey, specifically their encounters with Guidance and Research Centers (GRCs) during the process of obtaining educational assessment reports. Through semi-structured interviews with 25 parents, the study reveals complex emotions and…
Descriptors: Foreign Countries, Special Needs Students, Parent Attitudes, Parent Participation
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Cooperman, Allison W.; Weiss, David J.; Wang, Chun – Educational and Psychological Measurement, 2022
Adaptive measurement of change (AMC) is a psychometric method for measuring intra-individual change on one or more latent traits across testing occasions. Three hypothesis tests--a Z test, likelihood ratio test, and score ratio index--have demonstrated desirable statistical properties in this context, including low false positive rates and high…
Descriptors: Error of Measurement, Psychometrics, Hypothesis Testing, Simulation
New York State Education Department, 2022
The Regulations of the Commissioner of Education provide that an intermediate-level science test is to be administered in Grade 8 to serve as a basis for determining students' need for academic intervention services in science. The New York State Grade 8 Intermediate-Level Science Test consists of two required components: a Written Test and a…
Descriptors: Grade 8, Science Tests, Intermediate Grades, Testing Programs
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Wen Xin Zhang; John J. H. Lin; Ying-Shao Hsu – Journal of Computer Assisted Learning, 2025
Background Study: Assessing learners' inquiry-based skills is challenging as social, political, and technological dimensions must be considered. The advanced development of artificial intelligence (AI) makes it possible to address these challenges and shape the next generation of science education. Objectives: The present study evaluated the SSI…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Inquiry, Active Learning
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Okan Bulut; Guher Gorgun; Hacer Karamese – Journal of Educational Measurement, 2025
The use of multistage adaptive testing (MST) has gradually increased in large-scale testing programs as MST achieves a balanced compromise between linear test design and item-level adaptive testing. MST works on the premise that each examinee gives their best effort when attempting the items, and their responses truly reflect what they know or can…
Descriptors: Response Style (Tests), Testing Problems, Testing Accommodations, Measurement
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Peter Rowlett; Chris Graham; Christian Lawson-Perfect – International Journal of Mathematical Education in Science and Technology, 2025
Partially automated assessment is implemented via the 'Printable worksheet' mode in the Numbas e-assessment system to create a mathematical modelling worksheet which is individualised with random parameters but completed and marked as if it were a non-automated piece of coursework, preserving validity while reducing the risk of academic misconduct…
Descriptors: Automation, Worksheets, Mathematical Models, Computer Assisted Testing
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Matthew Moreno; Earl Woodruff – Instructional Science: An International Journal of the Learning Sciences, 2024
This present study examines the psycho-emotional and psychophysiological effects that variations in the tempo of background music have on learners who are completing reading comprehension tests while being monitored used multi-modal computer technology. Results of seventy-four (N = 74) participants indicated that listening to fast tempo music…
Descriptors: Adolescents, Students, Music, Educational Therapy
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Ersen, Rabia Karatoprak; Lee, Won-Chan – Journal of Educational Measurement, 2023
The purpose of this study was to compare calibration and linking methods for placing pretest item parameter estimates on the item pool scale in a 1-3 computerized multistage adaptive testing design in terms of item parameter recovery. Two models were used: embedded-section, in which pretest items were administered within a separate module, and…
Descriptors: Pretesting, Test Items, Computer Assisted Testing, Adaptive Testing
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Yuan, Lu; Huang, Yingshi; Li, Shuhang; Chen, Ping – Journal of Educational Measurement, 2023
Online calibration is a key technology for item calibration in computerized adaptive testing (CAT) and has been widely used in various forms of CAT, including unidimensional CAT, multidimensional CAT (MCAT), CAT with polytomously scored items, and cognitive diagnostic CAT. However, as multidimensional and polytomous assessment data become more…
Descriptors: Computer Assisted Testing, Adaptive Testing, Computation, Test Items
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Gordanier, John; Ozturk, Orgul; Zhan, Crystal – Education Finance and Policy, 2023
Computer-based testing (CBT) is becoming an increasingly popular format of assessment in educational settings. If students face a digital divide in terms of access to computers at school and at home, CBT may exacerbate measured student achievement gaps. In this paper, we use the rollout of CBT in South Carolina starting in 2015 to investigate its…
Descriptors: Computer Assisted Testing, Academic Achievement, Testing Programs, Program Implementation
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Tan, Qingrong; Cai, Yan; Luo, Fen; Tu, Dongbo – Journal of Educational and Behavioral Statistics, 2023
To improve the calibration accuracy and calibration efficiency of cognitive diagnostic computerized adaptive testing (CD-CAT) for new items and, ultimately, contribute to the widespread application of CD-CAT in practice, the current article proposed a Gini-based online calibration method that can simultaneously calibrate the Q-matrix and item…
Descriptors: Cognitive Tests, Computer Assisted Testing, Adaptive Testing, Accuracy
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Eva Ulrychová; Renata Majovská; Petr Tesar – Journal on Efficiency and Responsibility in Education and Science, 2024
The article deals with the results of mathematics examinations at the University of Finance and Administration in Prague before, during, and immediately after the COVID-19 pandemic-related restrictions. The first objective is to evaluate whether the non-standard forms of testing (correspondence and online), used on an emergency basis during the…
Descriptors: Foreign Countries, COVID-19, Pandemics, Mathematics Tests
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Daocheng Hong – Interactive Learning Environments, 2024
The digital transformation of education is greatly accelerating in various computer-supported applications. As a particularly prominent application of the human-machine interactive system, intelligent learning systems aim to capture users' current intentions and provide recommendations through real-time feedback. However, we have a limited…
Descriptors: Feedback (Response), Users (Information), Learner Engagement, Tests
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Daniel M. Settlage; Jim R. Wollscheid – Journal of the Scholarship of Teaching and Learning, 2024
The examination of the testing mode effect has received increased attention as higher education has shifted to remote testing during the COVID-19 pandemic. We believe the testing mode effect consists of four components: the ability to physically write on the test, the method of answer recording, the proctoring/testing environment, and the effect…
Descriptors: College Students, Macroeconomics, Tests, Answer Sheets
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Sara E. Witmer; Nathalie Marinho – Psychology in the Schools, 2024
Extended time is frequently recommended for students with disabilities (SWD) with an intent to remove barriers to accurate measurement of their underlying knowledge and skills. However, empirical findings have varied in terms of whether extended time conditions are an appropriate method for doing so, raising questions of whether frequent…
Descriptors: National Competency Tests, Students with Disabilities, Special Needs Students, Academic Accommodations (Disabilities)
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