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Gul, Asiya; Baron, Lauren; Arbel, Yael – Journal of Speech, Language, and Hearing Research, 2022
Purpose: The purpose of this study was to examine feedback processing within the context of probabilistic learning in children with and without developmental language disorder (DLD). Method: The probabilistic category learning task required 28 children ages 8-13 years old to classify novel cartoon animals that differed in five binary features into…
Descriptors: Children, Preadolescents, Feedback (Response), Developmental Disabilities
Demir, Seda – Journal of Educational Technology and Online Learning, 2022
The purpose of this research was to evaluate the effect of item pool and selection algorithms on computerized classification testing (CCT) performance in terms of some classification evaluation metrics. For this purpose, 1000 examinees' response patterns using the R package were generated and eight item pools with 150, 300, 450, and 600 items…
Descriptors: Test Items, Item Banks, Mathematics, Computer Assisted Testing
Kuperman, Asi; Aladjem, Ruthi; Dagan, Osnat; Mioduser, David – Design and Technology Education, 2022
The purpose of this study is to gain a deep understanding of kindergarten children's drawings as a form of documentation of their work, of their ability to notice and depict substantial details, as well as their understanding of how objects in the world "work". In the study, we examined drawings created by kindergarten children for…
Descriptors: Young Children, Freehand Drawing, Reflection, Kindergarten
Monster, Iris; Tellings, Agnes; Burk, William J.; Keuning, Jos; Segers, Eliane; Verhoeven, Ludo – Scientific Studies of Reading, 2022
We examined whether word recognition accuracy and latency of words children encounter during primary school across the upper primary school grades can be predicted from word form (word length, mean Levenshtein distance, and mean frequency of neighbors), word meaning (free association network markers) and word exposure (corpus frequency and…
Descriptors: Reading Processes, Word Recognition, Predictor Variables, Accuracy
Cuhadar, Ismail – Measurement: Interdisciplinary Research and Perspectives, 2022
In practice, some test items may display misfit at the upper-asymptote of item characteristic curve due to distraction, anxiety, or carelessness by the test takers (i.e., the slipping effect). The conventional item response theory (IRT) models do not take the slipping effect into consideration, which may violate the model fit assumption in IRT.…
Descriptors: Sample Size, Item Response Theory, Test Items, Mathematical Models
Adam J. Reeger – ProQuest LLC, 2022
Student growth percentiles (SGPs) have become a common means to measure and report on student academic growth for state education accountability, and some states have adopted SGP cutscores as a means of classifying student growth into categories like "high/medium/low" growth. It has therefore become important to understand properties of…
Descriptors: Academic Achievement, Achievement Gains, Accountability, Regression (Statistics)
Daniel McNeish; Jeffrey R. Harring; Daniel J. Bauer – Grantee Submission, 2022
Growth mixture models (GMMs) are a popular method to identify latent classes of growth trajectories. One shortcoming of GMMs is nonconvergence, which often leads researchers to apply covariance equality constraints to simplify estimation, though this may be a dubious assumption. Alternative model specifications have been proposed to reduce…
Descriptors: Growth Models, Classification, Accuracy, Sample Size
Susan Barnes Porter – ProQuest LLC, 2022
The data from universal screeners must be valid and reliable in order to use it to make appropriate decisions about how best to allocate resources to support students who are at risk of not passing the state achievement test. The instruments used as part of universal screening must also have diagnostic accuracy. This study examined the diagnostic…
Descriptors: Screening Tests, Accuracy, Computer Assisted Testing, Achievement Tests
Hugh W. Catts; Alan G. Kamhi – American Educator, 2025
Grassroots efforts and other advocacy have led to the vast majority of states adopting policies designed to improve the reading outcomes of all children, including those who struggle to read. Whereas these policies consider various aspects of reading, much of their emphasis has been on developing word reading accuracy and fluency through explicit…
Descriptors: Reading Comprehension, Educational Policy, Advocacy, Activism
Kary Zarate; Veronica Kang; Daniel M. Maggin – Preventing School Failure, 2025
Many of the decisions made related to student progress and intervention selection rely on data. In their roles, paraeducators often implement academic interventions; therefore, they must be prepared to monitor students' progress accurately and reliably. This pilot randomized control trial tested the effects of a remote training package on…
Descriptors: Paraprofessional School Personnel, Training, Data Collection, Reading Fluency
Examining the Developmental Trade-Off between Phonology and Morphology in Hebrew Reading Acquisition
Rotem Yinon; Shelley Shaul – Reading and Writing: An Interdisciplinary Journal, 2025
The relative importance of phonological versus morphological processes in reading varies depending on the writing system's orthographic consistency and morphological complexity. This study investigated the interplay between phonology and morphology in Hebrew reading acquisition, a language offering a unique opportunity for such examination with…
Descriptors: Hebrew, Morphology (Languages), Phonology, Language Processing
Saso Koceski; Natasa Koceska; Limonka Koceva Lazarova; Marija Miteva; Biljana Zlatanovska – Journal of Technology and Science Education, 2025
This study aims to evaluate ChatGPT's capabilities in certain numerical analysis problem: solving ordinary differential equations. The methodology which is developed in order to conduct this research takes into account the following mathematical abilities (defined according to National Centre for Education Statistics): Conceptual Understanding,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Number Concepts, Problem Solving
Reem M. Al-Zou’bi – Journal of Media Literacy Education, 2025
This study explores the impact of Media and Information Literacy (MIL) on developing creative video production skills among undergraduate students at Al al-Bayt University, Jordan. The sample consisted of 60 students divided into an experimental group (MIL course) and a control group (Educational Foundations course). Using a quasi-experimental…
Descriptors: Media Literacy, Information Literacy, Creativity, Video Technology
Rumeysa Demir; Metin Demir – Educational Process: International Journal, 2025
Background/purpose: This study aims to reveal in detail the extent to which the variables in The Primary and Secondary Education Institutions Scholarship Examination (PSEISE) predict the success of students on the scholarship exam with the help of artificial neural networks (ANN). In addition, in light of the findings obtained as a result of the…
Descriptors: Elementary Secondary Education, Foreign Countries, Artificial Intelligence, Computer Software
Xinya Chen; Baiyi Jia; Xiaoyang Peng; Huichen Zhao; Jiajia Yao; Zhen Wang; Shuhui Zhu – Education and Information Technologies, 2025
Although online argumentation provides students with sufficient time to think, they often lack a clear argument structure and timely guidance during the process. This may negatively affect students' abilities to support or rebut arguments and to develop their critical thinking skills. In this study, 64 sophomores were evenly assigned to either a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Persuasive Discourse, Concept Mapping

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