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Data Quality Campaign, 2022
For decades, schools nationwide have collected household income data to identify those eligible for free and reduced-price lunch programs. State leaders have long used this information as a proxy for student economic disadvantage--yet this data is insufficient to understand and address students' needs. Measures based on FRL data lack critical…
Descriptors: State Policy, Student Needs, Measurement Techniques, Disadvantaged Youth
Prescott, Brian T. – Change: The Magazine of Higher Learning, 2021
A "Cone of Uncertainty" has become ubiquitous in hurricane forecasting, encompassing the likeliest possible path that a storm might take as it approaches landfall. These forecasts are crucial because they help government agencies at all levels prepare even in these far-from-certain future conditions. Although individual institutions have…
Descriptors: Educational Planning, COVID-19, Pandemics, Decision Making
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
Edmunds, Julie A.; Grebing, Eric; Coyle, Victoria; Rosof, Laura – Journal of Education for Students Placed at Risk, 2022
The opportunity to take college courses in high school (dual enrollment) is becoming increasingly prevalent, but access is not equitably distributed. Certain populations, such as economically disadvantaged students and students who are members of racial and ethnic groups historically underrepresented in college, are less likely to take dual…
Descriptors: Equal Education, Access to Education, Dual Enrollment, High School Students

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