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Nancy Montes; Fernanda Luna – UNESCO International Institute for Educational Planning, 2024
This article characterizes and reflects on the possible uses of early warning systems (hereafter, EWS) in the region as effective tools to support educational pathways, whenever they identify risks of dropout, difficulties for the achievement of substantive learning, and the possibility of organizing specific actions. This article was developed in…
Descriptors: Data Collection, Data Use, At Risk Students, Foreign Countries
Data Quality Campaign, 2020
School closures resulting from the COVID-19 pandemic have left educators and families with the responsibility of rapidly learning how to support students while they are at home. This fundamental shift in the way most students receive instruction makes it critical for educators and families to be able to use data to meet students where they are and…
Descriptors: Distance Education, Student Records, COVID-19, Pandemics
Ruedel, Kristin; Nelson, Gena; Bailey, Tessie – National Center for Systemic Improvement at WestEd, 2017
Many states struggle with collecting reliable and valid data that can be easily analyzed at the state level. This can be particularly challenging in states where schools and districts have local control over the selection of their assessment tools. This state spotlight presents the strategies that the Iowa Department of Education (IDE) used to…
Descriptors: Data Use, Data Collection, State Policy, Educational Policy
EdSource, 2011
This playbook draws from the findings of "Gaining Ground in the Middle Grades," the largest empirical study of this grade level conducted to date. The "Gaining Ground in the Middle Grades" study was designed to find out what higher-performing schools do differently. The result is a compelling set of specific, actionable…
Descriptors: Middle School Students, Middle Schools, Administrator Role, Academic Achievement