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Using Bayesian Meta-Analysis to Explore the Components of Early Literacy Interventions. WWC 2023-008
Walsh, Elias; Deke, John; Robles, Silvia; Streke, Andrei; Thal, Dan – What Works Clearinghouse, 2023
The What Works Clearinghouse (WWC) released a report that applies two methodological approaches new to the WWC that together aim to improve researchers' understanding of how early literacy interventions may work to improve outcomes for students in grades K-3. First, this report pilots a new taxonomy developed by early literacy experts and…
Descriptors: Bayesian Statistics, Meta Analysis, Early Intervention, Literacy
Pruisner, Peggy – TechTrends: Linking Research and Practice to Improve Learning, 2009
As a result of the Reading First Program of the No Child Left Behind Act (NCLB), the view of reading has narrowed. Individual state's Reading First professional development programs, and hence reading teachers across the United States, have spent the six years since the funding of the program in 2002 focusing beginning and developmental reading on…
Descriptors: Teacher Education Programs, Reading Research, Reading, Federal Legislation
Ellis, Sue, Ed.; McCartney, Elspeth, Ed. – Cambridge University Press, 2011
Modern primary teachers must adapt literacy programmes and ensure efficient learning for all. They must also support children with language and literacy difficulties, children learning English as an additional language and possibly teach a modern foreign language. To do this effectively, they need to understand the applied linguistics research…
Descriptors: Foreign Countries, English Language Learners, Applied Linguistics, Inservice Teacher Education