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Derar Serhan; Natalie Welcome – International Society for Technology, Education, and Science, 2023
Recently, institutions have increased their online course offerings as well as their online degrees. With this significant growth in online offerings, assessment integrity becomes a concern. In response to this concern, many institutions have adopted the use of online proctoring services. The aim of using these online proctoring services is to…
Descriptors: Computer Assisted Testing, Privacy, Student Attitudes, Ethics
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Alexander, Ben; Owen, Sean; Thames, Cliff B. – Asian Association of Open Universities Journal, 2020
Purpose: This study, a post hoc observational one, attempted to determine if career and technical education (CTE) students in the state of Mississippi would academically benefit from taking multiple formative assessments in an online format prior to completing their summative exams. Most CTE students in the state of Mississippi are required to…
Descriptors: Computer Assisted Testing, Formative Evaluation, Summative Evaluation, Vocational Education
Crisp, Victoria; Shaw, Stuart – Research Matters, 2020
For assessment contexts where both a paper-based test and an on-screen assessment are available as alternatives, it is still common for the paper-based test to be prepared first with questions later transferred into an on-screen testing platform. One challenge with this is that some questions cannot be transferred. One solution might be for…
Descriptors: Computer Assisted Testing, Test Items, Test Construction, Mathematics Tests
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van Groen, Maaike M.; Eggen, Theo J. H. M. – Journal of Applied Testing Technology, 2020
When developing a digital test, one of the first decisions that need to be made is which type of Computer-Based Test (CBT) to develop. Six different CBT types are considered here: linear tests, automatically generated tests, computerized adaptive tests, adaptive learning environments, educational simulations, and educational games. The selection…
Descriptors: Computer Assisted Testing, Formative Evaluation, Summative Evaluation, Adaptive Testing
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Mohan, Kaushik; Bergner, Yoav; Halpin, Peter – Technology, Knowledge and Learning, 2020
Technology-based assessments that involve collaboration among students offer many sources of process data, although it remains unclear which aspects of these data are most meaningful for making inferences about students' collaborative skills. Recent research has focused mainly on theory-based rubrics for qualitative coding of process data (e.g.,…
Descriptors: Computer Assisted Testing, Student Evaluation, Cooperation, Grade 12
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Daniels, Lia M.; Bulut, Okan – Journal of Computer Assisted Learning, 2020
In computer-based testing (CBT) environments instructors can provide students with feedback immediately. Commonly, instructors give students their percentage correct without additional descriptive feedback. Our objectives were (a) to compare students' perceived usefulness of a percentage-only score report vs. a descriptive feedback report in a CBT…
Descriptors: Computer Assisted Testing, Feedback (Response), Value Judgment, Student Attitudes
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Sutter, Claudia C.; Campbell, Laurie O.; Lambie, Glenn W. – Computers in the Schools, 2020
The present study investigated the predictability of a computer-adaptive, curriculum-based reading assessment for measuring second-grade students' overall and comprehension reading achievement on a standardized reading achievement test. Specifically, second-grade student scores (N = 428) of the Istation's Indicators of Progress for Early Reading…
Descriptors: Prediction, Standardized Tests, Reading Tests, Grade 2
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Stefan O'Grady – International Journal of Listening, 2025
Language assessment is increasingly computermediated. This development presents opportunities with new task formats and equally a need for renewed scrutiny of established conventions. Recent recommendations to increase integrated skills assessment in lecture comprehension tests is premised on empirical research that demonstrates enhanced construct…
Descriptors: Language Tests, Lecture Method, Listening Comprehension Tests, Multiple Choice Tests
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Bernis Sütçübasi; Tugçe Balli; Herbert Roeyers; Jan R. Wiersema; Sami Çamkerten; Ozan Cem Öztürk; Baris Metin; Edmund Sonuga-Barke – Journal of Attention Disorders, 2025
Objective: ADHD and autism are complex and frequently co-occurring neurodevelopmental conditions with shared etiological and pathophysiological elements. In this paper, we attempt to differentiate these conditions among the young people in terms of intrinsic patterns of brain connectivity revealed during resting state using machine learning…
Descriptors: Elementary School Students, Secondary School Students, Attention Deficit Hyperactivity Disorder, Autism Spectrum Disorders
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Selina Ochukut; Robert Oboko; Evans Miriti; Christopher Chepken; Andrew Kahonge; Elizaphan Maina – International Journal of Education and Development using Information and Communication Technology, 2025
E-learning is an emerging trend in most universities. Due to COVID-19, many universities adopted e-learning. With the sudden adoption and implementation of e-learning, learners had to undergo learning on how to learn and take examinations electronically, which could have increased cognitive load in their learning experience. Without regular, face…
Descriptors: Electronic Learning, Cognitive Ability, Learning Motivation, Learning Experience
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Yasuda, Jun-ichiro; Hull, Michael M.; Mae, Naohiro – Physical Review Physics Education Research, 2022
This paper presents improvements made to a computerized adaptive testing (CAT)-based version of the FCI (FCI-CAT) in regards to test security and test efficiency. First, we will discuss measures to enhance test security by controlling for item overexposure, decreasing the risk that respondents may (i) memorize the content of a pretest for use on…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Items, Risk Management
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MacGregor, David; Yen, Shu Jing; Yu, Xin – Language Assessment Quarterly, 2022
How can one construct a test that provides accurate measurements across the range of performance levels while providing adequate coverage of all of the critical areas of the domain, yet that is not unmanageably long? This paper discusses the approach taken in a linear test of academic English language, and how the transition to a computer-based…
Descriptors: Language Tests, Language Proficiency, Computer Assisted Testing, Adaptive Testing
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McGuire, Katherine L. – Journal of Cognition and Development, 2022
Children have traditionally been viewed as less reliable witnesses than are adults. More recently, a concept known as developmental reversals, has brought this view into question. Developmental reversals have demonstrated that in certain contexts, children produce fewer false memories than adults. The primary paradigm used to demonstrate…
Descriptors: Memory, Cognitive Processes, Context Effect, Accuracy
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Wolf, Mikyung Kim; Yoo, Hanwook; Guzman-Orth, Danielle; Abedi, Jamal – Educational Assessment, 2022
Implementing a randomized controlled trial design, the present study investigated the effects of two types of accommodations, linguistic modification and a glossary, for English learners (ELs) taking a computer-based mathematics assessment. Process data including response time and clicks on glossary words were also examined to better interpret…
Descriptors: Testing Accommodations, English Language Learners, Computer Assisted Testing, Mathematics Tests
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Mgbechikwere, Ikoro Francisca – International Society for Technology, Education, and Science, 2022
COVID-19 pandemic lockdown is an emergency period in education where assessment of teaching and learning became inevitable to determine effectiveness of the digital processes used. The objectives of this research are to; (a) investigate the types of assessment used during the COVID-19 pandemic in Nigeria; (b) establish the effectiveness of the…
Descriptors: Foreign Countries, Evaluation, Computer Assisted Testing, COVID-19
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