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Ranalli, Dennis; Templin, Joe; Applebaum, Maggie – US Department of Agriculture, 2021
This report responds to the requirement of PL 110-246 to assess the effectiveness of state and local efforts to directly certify children for free school meals. Direct certification is a process conducted by the states and by local educational agencies (LEAs) to certify eligible children for free meals without the need for household applications.…
Descriptors: National Programs, Lunch Programs, Certification, Eligibility
Munyan-Penney, Nicholas; Mehrotra, Sarah – Education Trust, 2023
Addressing inequities in the educational outcomes--particularly for students of color and students from low-income backgrounds--cannot happen without comparable data from statewide summative assessments. Statewide assessment results help schools and district leaders target state and local resources to the students and schools with the greatest…
Descriptors: Measurement, Statewide Planning, Students, Teachers
Golan, Shari; Woodbridge, Michelle; Davies-Mercier, Betsy; Pistorino, Carol – Office of Planning, Evaluation and Policy Development, US Department of Education, 2016
States increasingly are incorporating Kindergarten Entry Assessments (KEAs) into their comprehensive assessment systems with the goal of helping educators identify gaps in children's competencies, target instruction to children's individual needs, engage parents to better support their child's learning, and identify needs for expanding and…
Descriptors: Kindergarten, Tests, Testing Programs, Data Use
Office of Planning, Evaluation and Policy Development, US Department of Education, 2016
States increasingly are incorporating Kindergarten Entry Assessments (KEAs) into their comprehensive assessment systems with the goal of helping educators identify gaps in children's competencies, target instruction to children's individual needs, engage parents to better support their child's learning, and identify needs for expanding and…
Descriptors: Kindergarten, Tests, Testing Programs, Data Use
Using Data from Schools and Child Welfare Agencies to Predict Near-Term Academic Risks. REL 2020-027
Bruch, Julie; Gellar, Jonathan; Cattell, Lindsay; Hotchkiss, John; Killewald, Phil – Regional Educational Laboratory Mid-Atlantic, 2020
This report provides information for administrators, researchers, and student support staff in local education agencies who are interested in identifying students who are likely to have near-term academic problems such as absenteeism, suspensions, poor grades, and low performance on state tests. The report describes an approach for developing a…
Descriptors: At Risk Students, Data Use, Child Welfare, Predictor Variables

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