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Tay McEdwards; Greta R. Underhill – Online Journal of Distance Learning Administration, 2025
Online learning has steadily increased since well before the COVID-19 pandemic (Seaman et al., 2018), but research has yet to explore online students' perceptions of online exam proctoring methods. The purpose of this exploratory study was to understand the perceptions of fully online students regarding types of proctoring at a large state…
Descriptors: Supervision, Computer Assisted Testing, Electronic Learning, Student Attitudes
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Freya Elise; Brian Irvine; Jana Brinkert; Charlie Hamilton; Emily K. Farran; Elizabeth Milne; Gaia Scerif; Anna Remington – Journal of Applied Research in Intellectual Disabilities, 2025
Background: Autistic people without intellectual disabilities have increased perceptual capacity: they can process more information at any given time compared to non-autistic people. We examined whether increased perceptual capacity is evident across the autistic spectrum (i.e. for autistic people with intellectual disabilities) and whether it is…
Descriptors: Autism Spectrum Disorders, Genetic Disorders, Adults, Intellectual Disability
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Gisella Rossini; Federico Manzi; Cinzia Di Dio; Antonio Iannaccone; Antonella Marchetti; Davide Massaro – European Journal of Psychology of Education, 2025
In the field of educational robotics, it is important to understand the processes trough which child-robot interactions are established during play activities. In terms of socio-material characteristics, robots can vary widely, from more mechanical robots to more anthropomorphic ones. Research has shown that the degree of anthropomorphization of…
Descriptors: Preschool Children, Preschool Education, Toddlers, Robotics
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Mohamed Kara-Mohamed – Journal of Educational Technology Systems, 2025
(1) Context: The growing accessibility of Artificial Intelligence (AI) technology, such as ChatGPT, poses a challenge to the integrity of online assessments in higher education. As AI becomes more integrated into academic contexts, educators face the complex task of maintaining assessment standards particularly within modern Virtual Learning…
Descriptors: Artificial Intelligence, Virtual Classrooms, Computer Assisted Testing, Universities
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Andreea Dutulescu; Stefan Ruseti; Denis Iorga; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2025
Automated multiple-choice question (MCQ) generation is valuable for scalable assessment and enhanced learning experiences. How-ever, existing MCQ generation methods face challenges in ensuring plausible distractors and maintaining answer consistency. This paper intro-duces a method for MCQ generation that integrates reasoning-based explanations…
Descriptors: Automation, Computer Assisted Testing, Multiple Choice Tests, Natural Language Processing
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Gurvinder Kaur; Stephanie Stroever; Megh Gore; Bridget Vories; Vaughan H. Lee; Keith N. Bishop; Brandt L. Schneider – Discover Education, 2025
Background: Formative assessments build a positive learning environment and provide feedback to enhance learning. This study examined the impact of online formative and low-stake summative assessments on medical students' learning outcomes in the Clinically Oriented Anatomy course from 2016 to 2020. We aimed to demonstrate that formative…
Descriptors: At Risk Students, Identification, Prediction, Anatomy
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Tiana P. Johnson-Clements; Guy J. Curtis; Joseph Clare – Journal of Academic Ethics, 2025
Concerns over students engaging in various forms of academic misconduct persist, especially with the post-COVID-19 rise in online learning and assessment. Research has demonstrated a clear role of the personality trait psychopathy in cheating, yet little is known about why this relationship exists. Building on the research by Curtis et al.…
Descriptors: Pandemics, COVID-19, Cheating, Electronic Learning
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Kenneth Forman; Craig Markson – Journal for Leadership and Instruction, 2025
The purpose of this study was to examine the relationships between opt-out rates, poverty, and results on the English Language Arts and Mathematics assessments for grades 3-8 in New York State. The setting included 102 school districts that were in two adjacent suburban counties in New York State: Nassau and Suffolk. A series of Pearson…
Descriptors: Suburban Schools, Language Tests, Mathematics Tests, School Districts
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Wesley Morris; Langdon Holmes; Joon Suh Choi; Scott Crossley – International Journal of Artificial Intelligence in Education, 2025
Recent developments in the field of artificial intelligence allow for improved performance in the automated assessment of extended response items in mathematics, potentially allowing for the scoring of these items cheaply and at scale. This study details the grand prize-winning approach to developing large language models (LLMs) to automatically…
Descriptors: Automation, Computer Assisted Testing, Mathematics Tests, Scoring
New York State Education Department, 2022
The instructions in this manual explain the responsibilities of school administrators for the New York State Testing Program (NYSTP) Grades 3-8 English Language Arts and Mathematics Field Tests, and the Elementary-level (Grade 5) and Intermediate-level (Grade 8) Science Field Tests. School administrators must be thoroughly familiar with the…
Descriptors: Testing Programs, Mathematics Tests, Test Format, Computer Assisted Testing
Olson, John F.; Lazarus, Sheryl S.; Thurlow, Martha L.; Quanbeck, Mari – National Center on Educational Outcomes, 2021
This report provides a snapshot of how accommodated tests for students with disabilities, accessibility, alternate assessments, and other related issues were addressed in states' test security policies for 2020-21. Strong test security policies and procedures are needed to help ensure the integrity and validity of state assessments, yet some test…
Descriptors: Testing Accommodations, Information Security, State Policy, Policy Analysis
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McCarthy, Tessa; Schles, Rachel Anne; Moore, Debra W. – Journal of Visual Impairment & Blindness, 2023
Introduction: This study evaluated performance and engagement on the tactile science alternate assessment based on alternate academic standards (AA-AAS). This assessment was designed for students with significant intellectual disabilities and visual impairments (i.e., blindness and low vision). Four primary research questions guided this study.…
Descriptors: Student Evaluation, Alternative Assessment, Science Education, Students with Disabilities
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Tavares, Walter; Kuper, Ayelet; Kulasegaram, Kulamakan; Whitehead, Cynthia – Advances in Health Sciences Education, 2020
The array of different philosophical positions underlying contemporary views on competence, assessment strategies and justification have led to advances in assessment science. Challenges may arise when these philosophical positions are not considered in assessment design. These can include (a) a logical incompatibility leading to varied or…
Descriptors: Performance Based Assessment, Educational Testing, Test Interpretation, Test Results
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Morris, Scott B.; Bass, Michael; Howard, Elizabeth; Neapolitan, Richard E. – International Journal of Testing, 2020
The standard error (SE) stopping rule, which terminates a computer adaptive test (CAT) when the "SE" is less than a threshold, is effective when there are informative questions for all trait levels. However, in domains such as patient-reported outcomes, the items in a bank might all target one end of the trait continuum (e.g., negative…
Descriptors: Computer Assisted Testing, Adaptive Testing, Item Banks, Item Response Theory
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O'Neill, Rachel; Cameron, Audrey; Burns, Eileen; Quinn, Gary – Psychology in the Schools, 2020
Attitudes to sign languages or language policies are often not overtly discussed or recorded but they influence deaf young people's educational opportunities and outcomes. Two qualitative studies from Scotland investigate the provision of British Sign Language as accommodation in public examinations. The first explores the views of deaf pupils and…
Descriptors: Foreign Countries, Alternative Assessment, Sign Language, Deafness
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