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Lidia Rossi; Mara Soncin; Melisa Lucia Diaz Lema; Tommaso Agasisti – Educational Assessment, Evaluation and Accountability, 2025
Early identification of schools with a high percentage of students at risk of learning poverty is crucial for effective and targeted interventions. This study investigates the use of an innovative combination of large-scale administrative datasets and advanced statistical techniques to predict schools at risk of learning poverty in Italy in the…
Descriptors: Disadvantaged Schools, At Risk Students, Foreign Countries, Economically Disadvantaged
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Katherine C. Cheng; Courtney Boise; Susan M. Sheridan; Amanda L. Moen; Lisa Knoche; Rebecca S. Friesen – Educational Psychology, 2025
The current study examines the role of classroom quality in predicting learning behaviours among preschoolers experiencing socioeconomic disadvantage and developmental concerns (N[subscript children] = 267, N[subscript educators] = 97). All children were identified with developmental concerns in one or more areas (language, cognition, and/or…
Descriptors: Educational Quality, At Risk Students, Preschool Children, Preschool Education