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Stephen G. Sireci; Javier Suárez-Álvarez; April L. Zenisky; Maria Elena Oliveri – Educational Measurement: Issues and Practice, 2024
The goal in personalized assessment is to best fit the needs of each individual test taker, given the assessment purposes. Design-in-Real-Time (DIRTy) assessment reflects the progressive evolution in testing from a single test, to an adaptive test, to an adaptive assessment "system." In this article, we lay the foundation for DIRTy…
Descriptors: Educational Assessment, Student Needs, Test Format, Test Construction
Lin Chen; Charles Perfetti; Yi Xu – Journal of Psycholinguistic Research, 2025
Research on alphabetic reading presents conflicting findings concerning the timing of orthographic and meaning processes in reading morphologically complex words. Chinese characters offer distinct visual cues for morphemes, enabling straightforward manipulations to examine orthographic and meaning processes. Guided by the Character-Word Dual…
Descriptors: Chinese, Ideography, Symbolic Language, Second Language Learning
Zahra Banitalebi; Masoomeh Estaji; Gavin T. L. Brown – Educational Technology & Society, 2025
The significance of teacher's assessment literacy (AL) was originally captured by the 1990 standards for teacher's competence in educational assessment. Competence in assessment has changed with the widespread use of recent technology advancements in educational assessment. Consequently, new measures are needed to measure Teacher Assessment…
Descriptors: Assessment Literacy, Computer Assisted Testing, Measurement Techniques, Questionnaires
Collin Shepley; Amanda Leigh Duncan; Anthony P. Setari – Journal of Early Intervention, 2025
The provision of progress monitoring within publicly funded early childhood classrooms is legally required, supported by empirical research, and recommended by early childhood professional organizations, for teachers providing Part B services under the Individuals with Disabilities Education Act. Despite the widespread recognition of progress…
Descriptors: Progress Monitoring, Measures (Individuals), Test Construction, Test Validity
Mo Zhang; Paul Deane; Andrew Hoang; Hongwen Guo; Chen Li – Educational Measurement: Issues and Practice, 2025
In this paper, we describe two empirical studies that demonstrate the application and modeling of keystroke logs in writing assessments. We illustrate two different approaches of modeling differences in writing processes: analysis of mean differences in handcrafted theory-driven features and use of large language models to identify stable personal…
Descriptors: Writing Tests, Computer Assisted Testing, Keyboarding (Data Entry), Writing Processes
Sukru Murat Cebeci; Selcuk Acar – Journal of Creative Behavior, 2025
This study presents the Cebeci Test of Creativity (CTC), a novel computerized assessment tool designed to address the limitations of traditional open-ended paper-and-pencil creativity tests. The CTC is designed to overcome the challenges associated with the administration and manual scoring of traditional paper and pencil creativity tests. In this…
Descriptors: Creativity, Creativity Tests, Test Construction, Test Validity
Salvatore G. Garofalo; Stephen J. Farenga – Science & Education, 2025
The purpose of this study was to gauge the attitudes towards artificial intelligence (AI) use in the science classroom by science teachers at the start of generative AI chatbot popularity (March 2023). The lens of distributed cognition afforded an opportunity to gather thoughts, opinions, and perceptions from 24 secondary science educators as well…
Descriptors: Secondary School Teachers, Science Teachers, Teacher Attitudes, Artificial Intelligence
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
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
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
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
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
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
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
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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