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Meagan Karvonen; Russell Swinburne Romine; Amy K. Clark – Practical Assessment, Research & Evaluation, 2024
This paper describes methods and findings from student cognitive labs, teacher cognitive labs, and test administration observations as evidence evaluated in a validity argument for a computer-based alternate assessment for students with significant cognitive disabilities. Validity of score interpretations and uses for alternate assessments based…
Descriptors: Students with Disabilities, Intellectual Disability, Severe Disabilities, Student Evaluation
Rizki Zakwandi; Edi Istiyono; Wipsar Sunu Brams Dwandaru – Education and Information Technologies, 2024
Computational Thinking (CT) skill was a part of the global framework of reference on Digital Literacy for Indicator 4.4.2, widely developed in mathematics and science learning. This study aimed to promote an assessment tool using a two-tier Computerized Adaptive Test (CAT). The study used the Design and Development Research (DDR) method with four…
Descriptors: Computer Assisted Testing, Adaptive Testing, Student Evaluation, Computation
Ethan R. Van Norman; Emily R. Forcht – Assessment for Effective Intervention, 2024
Curriculum-based measurement of reading (CBM-R) is a common assessment educators use to monitor student growth in broad reading skills and evaluate the effectiveness of instructional programs. Computer-adaptive tests (CATs), such as Star Reading, have been cited as a viable option to formatively assess reading growth. We used Bayesian…
Descriptors: Reading Improvement, Reading Skills, Reading Achievement, Curriculum Based Assessment
On-Soon Lee – Journal of Pan-Pacific Association of Applied Linguistics, 2024
Despite the increasing interest in using AI tools as assistant agents in instructional settings, the effectiveness of ChatGPT, the generative pretrained AI, for evaluating the accuracy of second language (L2) writing has been largely unexplored in formative assessment. Therefore, the current study aims to examine how ChatGPT, as an evaluator,…
Descriptors: Foreign Countries, Undergraduate Students, English (Second Language), Second Language Learning
van der Linden, Wim J. – Journal of Educational and Behavioral Statistics, 2022
Two independent statistical tests of item compromise are presented, one based on the test takers' responses and the other on their response times (RTs) on the same items. The tests can be used to monitor an item in real time during online continuous testing but are also applicable as part of post hoc forensic analysis. The two test statistics are…
Descriptors: Test Items, Item Analysis, Item Response Theory, Computer Assisted Testing
Hurford, David P.; Wines, Autumn – Australian Journal of Learning Difficulties, 2022
The purpose of the present study was to examine the potential that parents could effectively administer an online dyslexia evaluation tool (ODET) to their children. To this end, four groups consisting of parents and trained staff were compared. Sixty-three children (36 females and 27 males) participated. The children in each group were assessed…
Descriptors: Test Reliability, Computer Assisted Testing, Dyslexia, Screening Tests
S. Kanageswari Suppiah Shanmugam; Arsaythamby Veloo; Yus'aiman Bin Jusoh Yusoff – International Journal of Science and Mathematics Education, 2025
Language as a cultural element influences Aboriginal pupils' mathematic performance. This study examines the utility of oral test in native language for computation and word problem mathematics items using score comparability. The sample includes 230 Grade 5 Orang Asli pupils from eight Malaysian primary schools in two states. By employing…
Descriptors: Foreign Countries, Elementary School Mathematics, Elementary School Students, Mathematics Tests
Hogan, Thomas; DeStefano, Marissa; Gilby, Caitlin; Kosman, Dana; Peri, Joshua – Applied Measurement in Education, 2021
Buros' "Mental Measurements Yearbook (MMY)" has provided professional reviews of commercially published psychological and educational tests for over 80 years. It serves as a kind of conscience for the testing industry. For a random sample of 50 entries in the "19th MMY" (a total of 100 separate reviews) this study determined…
Descriptors: Test Reviews, Interrater Reliability, Psychological Testing, Educational Testing
Lin, Yin; Brown, Anna; Williams, Paul – Educational and Psychological Measurement, 2023
Several forced-choice (FC) computerized adaptive tests (CATs) have emerged in the field of organizational psychology, all of them employing ideal-point items. However, despite most items developed historically follow dominance response models, research on FC CAT using dominance items is limited. Existing research is heavily dominated by…
Descriptors: Measurement Techniques, Computer Assisted Testing, Adaptive Testing, Industrial Psychology
Biccard, Piera; Mudau, Patience Kelebogile; van den Berg, Geesje – Journal of Learning for Development, 2023
This article explores student perceptions of writing online examinations for the first time during the COVID-19 pandemic. Prior to the pandemic, examinations at an open and distance learning institution in South Africa were conducted as venue-based examinations. From March 2020, all examinations were moved online. Online examinations were…
Descriptors: Foreign Countries, Student Attitudes, Computer Assisted Testing, COVID-19
Süleyman Demir; Derya Çobanoglu Aktan; Nese Güler – International Journal of Assessment Tools in Education, 2023
This study has two main purposes. Firstly, to compare the different item selection methods and stopping rules used in Computerized Adaptive Testing (CAT) applications with simulative data generated based on the item parameters of the Vocational Maturity Scale. Secondly, to test the validity of CAT application scores. For the first purpose,…
Descriptors: Computer Assisted Testing, Adaptive Testing, Vocational Maturity, Measures (Individuals)
Hanif Akhtar – International Society for Technology, Education, and Science, 2023
For efficiency, Computerized Adaptive Test (CAT) algorithm selects items with the maximum information, typically with a 50% probability of being answered correctly. However, examinees may not be satisfied if they only correctly answer 50% of the items. Researchers discovered that changing the item selection algorithms to choose easier items (i.e.,…
Descriptors: Success, Probability, Computer Assisted Testing, Adaptive Testing
Martin Braun – New Directions in the Teaching of Natural Sciences, 2024
During the COVID pandemic, universities around the globe had to move not only their content delivery online, but also their assessments. Due to COVID causing significant upheaval in Higher Education (HE), this enforced experiment also afforded an opportunity to reflect on traditional, invigilated, closed book exams (ICBE) resulting in research and…
Descriptors: COVID-19, Pandemics, Computer Assisted Testing, Educational Technology
Suthathip Thirakunkovit – Language Testing in Asia, 2025
Establishing a cut score is a crucial aspect of the test development process since the selected cut score has the potential to impact students' performance outcomes and shape instructional strategies within the classroom. Therefore, it is vital for those involved in test development to set a cut score that is both fair and justifiable. This cut…
Descriptors: Cutting Scores, Culture Fair Tests, Language Tests, Test Construction
Mertcan Mutlular; Vahap Tecim – Online Submission, 2024
With the growing population in our country, participation in exams organized by institutions such as ÖSYM, Anadolu University, Istanbul University and Atatürk University increases every year. Although the examiners advise candidates to visit the exam halls before the exam, this is not always possible. Therefore, it is of great importance to know…
Descriptors: Geographic Information Systems, Universities, Testing, School Buildings

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