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Elise de Bree; Karin Wiefferink; Ellen Gerrits – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Early detection of language delays is essential, as language is key for academic outcomes, well-being, and societal participation. Previous studies have focused on undetected delays in young children. Much less is known about referrals at older ages. In this study, we aimed to (a) establish how many children are referred at toddler age…
Descriptors: Foreign Countries, Language Tests, Language Impairments, Developmental Delays
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Vink, Isabelle C. de; Tolboom, Jos L. J.; Beekum, Olivier van – Informatics in Education, 2023
Due to technological advancements, robotics is findings its way into the classroom. However, workload for teachers is high, and teachers sometimes lack the knowledge to implement robotics education. A key factor of robotics education is peer learning, and having students (near-)peers teach them robotics could diminish workload. Therefore, this…
Descriptors: Peer Teaching, Robotics, STEM Education, Elementary School Students
Shakeel, M. Danish; Peterson, Paul E. – Program on Education Policy and Governance, 2021
Principals (policy makers) have debated the progress in U.S. student performance for a half century or more. Informing these conversations, survey agents have administered seven million psychometrically linked tests in math and reading in 160 waves to national probability samples of selected cohorts born between 1954 and 2007. This study is the…
Descriptors: Academic Achievement, Socioeconomic Status, Race, Ethnicity
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Noroozi, Omid, Ed.; Sahin, Ismail, Ed. – International Society for Technology, Education, and Science, 2022
Education, science, and technology disciplines are closely and extensively connected in all formats and levels. The outbreak of COVID-19 has further squeezed this interconnection where the delivery of education in different scientific fields of studies at all education levels is almost impossible without the presence of technology. Today, there is…
Descriptors: Education, Sciences, Technology, COVID-19
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Jeon, Minjeong; Rabe-Hesketh, Sophia – Journal of Educational and Behavioral Statistics, 2012
In this article, the authors suggest a profile-likelihood approach for estimating complex models by maximum likelihood (ML) using standard software and minimal programming. The method works whenever setting some of the parameters of the model to known constants turns the model into a standard model. An important class of models that can be…
Descriptors: Maximum Likelihood Statistics, Computation, Models, Factor Structure