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Kurdi, Ghader; Leo, Jared; Parsia, Bijan; Sattler, Uli; Al-Emari, Salam – International Journal of Artificial Intelligence in Education, 2020
While exam-style questions are a fundamental educational tool serving a variety of purposes, manual construction of questions is a complex process that requires training, experience, and resources. This, in turn, hinders and slows down the use of educational activities (e.g. providing practice questions) and new advances (e.g. adaptive testing)…
Descriptors: Computer Assisted Testing, Adaptive Testing, Natural Language Processing, Questioning Techniques
Becker, Kirk; Meng, Huijuan – Journal of Applied Testing Technology, 2022
The rise of online proctoring potentially provides more opportunities for item harvesting and consequent brain dumping and shared "study guides" based on stolen content. This has increased the need for rapid approaches for evaluating and acting on suspicious test responses in every delivery modality. Both hiring proxy test takers and…
Descriptors: Identification, Cheating, Computer Assisted Testing, Observation
Bennett, Randy E. – Educational Measurement: Issues and Practice, 2022
This commentary focuses on one of the positive impacts of COVID-19, which was to tie societal inequity to testing in a manner that could motivate the reimagining of our field. That reimagining needs to account for our nation's dramatically changing demographics so that assessment generally, and standardized testing specifically, better fit the…
Descriptors: COVID-19, Pandemics, Social Justice, Testing
Brimzhanova, Saule; Atanov, Sabyrzhan; Moldamurat, Khuralay; Baymuhambetova, Botagoz; Brimzhanova, Karlygash; Seitmetova, Aitkul – Education and Information Technologies, 2022
Computer-based testing of humanities students has some inconveniences and difficulties, where the whole learning process is practically based on communicative methods. In this regard, one needs such a testing system, which would allow one to ask open-ended questions, and students would be able to enter detailed answers. Despite the popularity of…
Descriptors: Computer Assisted Testing, Humanities Instruction, Humanities, Mathematics
Butucescu, Andreea; Iliescu, Drago? – Educational Studies, 2022
The current study examines the perceived fairness of an educational assessment process, considering the influence of positive and negative affect. The first objective was to determine if a person's evaluation of fairness fluctuates depending on the incidental affect (pre-evaluation affect). The second objective was studying the connection between…
Descriptors: Emotional Response, Test Bias, Testing, Evaluation
Heckman, James J.; Zhou, Jin – National Bureau of Economic Research, 2022
Empirical studies in the economics of education, the measurement of skill gaps, the impacts of interventions on skill formation, and the value-added literature rely on psychometrically validated test scores. Test scores are taken as measures of an invariant scale of human capital compared over time and people. We examine if conventional skill…
Descriptors: Scores, Mastery Learning, Measures (Individuals), Testing
Kun Su – ProQuest LLC, 2022
This dissertation provides a start-to-finish description of development, administration, and validation for an online middle-school physics test using a DCM framework with response-time. The first paper illustrated the process of implementing DCM with a careful selection of the content domain and a simulation approach for a Q-matrix construction.…
Descriptors: Science Instruction, Physics, Middle Schools, Testing
Olney, Andrew M.; Gilbert, Stephen B.; Rivers, Kelly – Grantee Submission, 2021
Cyberlearning technologies increasingly seek to offer personalized learning experiences via adaptive systems that customize pedagogy, content, feedback, pace, and tone according to the just-in-time needs of a learner. However, it is historically difficult to: (1) create these smart learning environments; (2) continuously improve them based on…
Descriptors: Educational Technology, Computer Assisted Instruction, Learning Analytics, Intelligent Tutoring Systems
Meljun Barnayha; Gamaliel Gonzales; Rachel Lavador; Jessamae Martel; Ma. Kathleen Urot; Roselyn Gonzales – Psychology in the Schools, 2025
This study examines the determinants of online academic dishonesty using the theory of planned behavior. We surveyed 1087 college students in Central Philippines and utilized a partial least squares-structural equation modeling analysis to evaluate a proposed model. Results demonstrate that 10 of the 11 hypothesized relationships are statistically…
Descriptors: Self Control, Cheating, Intervention, Ethics
Jonathan Seiden – Annenberg Institute for School Reform at Brown University, 2025
Direct assessments of early childhood development (ECD) are a cornerstone of research in developmental psychology and are increasingly used to evaluate programs and policies in lower- and middle-income countries. Despite strong psychometric properties, these assessments are too expensive and time consuming for use in large-scale monitoring or…
Descriptors: Young Children, Child Development, Performance Based Assessment, Developmental Psychology
Candace Walkington; Mitchell J. Nathan; Julianna Washington; Jonathan Hunnicutt; Taylor Darwin; LeaAnne Daughrity; Kelsey Schenck – Education and Information Technologies, 2025
Augmented Reality (AR) technologies allow for holograms to be layered over the real-world, "augmenting" human vision by adding technical information or illustrations onto 3D space. Although AR-based applications are showing positive effects in many systematic reviews and meta-analyses, well-designed, rigorous studies with strong control…
Descriptors: High School Students, Geometry, Computer Simulation, Tablet Computers
Caroline Larson; Hannah R. Thomas; Jason Crutcher; Michael C. Stevens; Inge-Marie Eigsti – Review Journal of Autism and Developmental Disorders, 2025
Autism Spectrum Disorder (ASD) is a heterogeneous condition associated with differences in functional neural connectivity relative to neurotypical (NT) peers. Language-based functional connectivity represents an ideal context in which to characterize connectivity because language is heterogeneous and linked to core features in ASD, and NT language…
Descriptors: Autism Spectrum Disorders, Brain, Brain Hemisphere Functions, Language Processing
Joshua Anbar; Maurice Metoyer; Christopher J. Smith; Nicole L. Matthews – Journal of Autism and Developmental Disorders, 2025
Purpose: Most assessment tools used to diagnose and characterize autism spectrum disorder (ASD) were developed for in-person administration. The coronavirus disease 2019 (COVID-19) pandemic resulted in the need to adapt traditional assessment tools for online administration with only minimal evidence to support validity of such practices. Methods:…
Descriptors: Intelligence Tests, Autism Spectrum Disorders, Scores, Computer Assisted Testing
Maria Townsend; Emma Champion; Gwendoline Berndt – Open Learning, 2025
Standard online tutorials at The Open University, based in the UK, are generally tutor-led with the tutor setting the agenda and content. This study investigated the inclusion of online student-led drop-in tutorials to support assessment on an OU level one module. The aims were to gauge the value to students of this style of tutorial, to…
Descriptors: Electronic Learning, Open Education, Tutorial Programs, Computer Assisted Testing
David Chen – Leadership and Policy in Schools, 2025
This paper explores the relationship between educational technologies and public education, discussing issues of technology becoming an end in itself, the impact of learner access to knowledge, technology's role in assessment, requisite skills for a technological society, and the technology's capacity to inform policy and practice. While…
Descriptors: Educational Technology, Public Education, Technology Uses in Education, Computer Assisted Testing

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