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Catalina Patricia Morales-Murillo; Manuel Pacheco-Molero; Irene León-Estrada; Rosa Fernández-Valero; Mónica Gutiérrez Ortega; R. A. McWilliam – Early Childhood Education Journal, 2025
This study analyzed the fit of data collected with the Measure of Engagement, Independence, and Social Relationships for 3- to 5-year-olds (MEISR 3-to-5-years-old) to a proposed theoretical model based on the cross-walk of MEISR 3-to-5-years-old items and codes from 7 chapters of the Activities and Participation component of the International…
Descriptors: Foreign Countries, Early Childhood Education, Intervention, Preschool Children
Philip E. Kearney; Niamh Curran; Frank J. Nugent – Journal of Motor Learning and Development, 2025
Manipulation checks are an essential component of quality experimental design in motor learning. Guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework, this methodological systematic review examined the utilization of manipulation checks in focus of attention research. Seventy-eight protocols from four…
Descriptors: Attention Control, Attention Span, Motor Development, Psychomotor Skills
Duncan Culbreth; Rebekah Davis; Cigdem Meral; Florence Martin; Weichao Wang; Sejal Foxx – TechTrends: Linking Research and Practice to Improve Learning, 2025
Monitoring applications (MAs) use digital and online tools to collect and track data on student behavior, and they have become increasingly popular among schools. Empirical research on these complex surveillance platforms is scant, and little is known about the efficacy or impact that they have on students. This study used a multi-method…
Descriptors: High School Students, COVID-19, Pandemics, Progress Monitoring
Dina Fitria Murad; Meta Amalya Dewi; Arbaiah Inn; Silvia Ayunda Murad; Noor Udin; Taufik Darwis – Journal of Educators Online, 2025
This study aims to produce a more personalized recommendation system for online learning using multicriteria in collaborative filtering and data from the Binus Online Learning repository as a knowledge base. The study uses forecasting (regression) and consists of three stages: (1) collecting data on the results of the learning process; (2) adding…
Descriptors: Electronic Learning, Data Collection, Context Effect, Learning Processes
Mihyun Son; Minsu Ha – Education and Information Technologies, 2025
Digital literacy is essential for scientific literacy in a digital world. Although the NGSS Practices include many activities that require digital literacy, most studies have examined digital literacy from a generic perspective rather than a curricular context. This study aimed to develop a self-report tool to measure elements of digital literacy…
Descriptors: Test Construction, Measures (Individuals), Digital Literacy, Scientific Literacy