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Robin Clausen – Grantee Submission, 2024
Early warning systems (EWS) using analytical tools that have been trained against prior years' data, can reliably predict dropout risk in individual students so that educators may intervene early to help avert this from happening. Risk profiles for dropouts aren't always useful since students often do not conform to the profiles. Researchers with…
Descriptors: Early Intervention, Predictor Variables, Potential Dropouts, At Risk Students
Marta Pellegrini; Carmen Pannone; Daniela Fadda; Laura Francesca Scalas; Giuliano Vivanet; Amanda Neitzel – Campbell Systematic Reviews, 2025
The issue of students dropping out before completing secondary education is a global concern with significant individual and societal consequences. Various terms, such as Early School Leaving (ESL), Early Leaving from Education and Training (ELET), and school dropout, reflect different policy perspectives on this phenomenon. Despite international…
Descriptors: Dropout Prevention, Intervention, Compensation (Remuneration), Potential Dropouts