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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
Desrochers, John E.; Cowan, Katherine C.; Christner, Ray W. – Principal Leadership, 2009
Research has shown that students' social, emotional, and behavioral health affects their academic achievement. This has enormous implications for teachers, school mental health providers, and the students themselves. A student who is hungry, disengaged, preoccupied, or behaviorally disruptive simply is not going to respond as well to even the best…
Descriptors: Mental Health, Principals, Faculty, Administrator Responsibility

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