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Jonathan D. Schweig; Andrew McEachin; Megan Kuhfeld; Lou Mariano; Melissa Diliberti – Grantee Submission, 2022
As students return to in-person instruction in the 2021-2022 school year, local education agencies (LEAs) must develop resource allocation strategies to support schools in need. Federal programs have provided resources to support restart and recovery. However, there is little consensus on how LEAs can target resources to support those schools most…
Descriptors: COVID-19, Pandemics, Resource Allocation, Educational Needs
Bennett Attaway; John Voiklis – Grantee Submission, 2022
This study examines the effect of Including Neurodiversity in Computational Thinking (INFACT), a collection of material for teaching Computational Thinking (CT) in grades 3-8. CT has many definitions, but all borrow concepts from computer science to structure problem-solving processes more generally. The materials are designed for use in inclusion…
Descriptors: Computation, Thinking Skills, Grade 3, Grade 4
Ansari, Arya – Grantee Submission, 2018
Using data from the Early Childhood Longitudinal Study Kindergarten Cohort of 1998 (n = 15,070), this study used propensity scores to examine the short- and long-term academic and psychosocial benefits of preschool education for a diverse sample of middle-class children. Compared with children who attended informal care at age 4, preschool…
Descriptors: Preschool Education, Educational Benefits, Middle Class, Preschool Children
Hedberg, E. C.; Hedges, Larry V. – Grantee Submission, 2014
Randomized experiments are often considered the strongest designs to study the impact of educational interventions. Perhaps the most prevalent class of designs used in large scale education experiments is the cluster randomized design in which entire schools are assigned to treatments. In cluster randomized trials (CRTs) that assign schools to…
Descriptors: Academic Achievement, Correlation, School Districts, Institutional Characteristics