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Jose Eos Trinidad – Oxford University Press, 2025
In "Subtle Webs," Jose Eos Trinidad reveals how organizations outside schools have created an invisible infrastructure not only to affect local school districts but also to shape US education. He illustrates this by providing a behind-the-scenes look at how local organizations in Chicago, Philadelphia, and New York City have transformed…
Descriptors: School Community Relationship, Urban Schools, High Schools, Dropout Prevention
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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
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Robin Clausen – Discover Education, 2025
Early Warning Systems (EWS) are research-based analytics that use statistical models to assess dropout risk. School leaders use this analytic to consolidate data about a student and provide actionable data to craft an intervention. Little is currently known about the processes involved in school implementation or data use. By analyzing Montana EWS…
Descriptors: Dropout Prevention, Data Analysis, Principals, School Counselors
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Mara Marini; Marzia Saglietti; Laura Prislei; Chiara Parisse; Stefano Livi – Social Psychology of Education: An International Journal, 2025
The present study addressed an area of research not yet sufficiently investigated: the environmental sensitivity trait in relation to perceived marginalization in the classroom, dropout intentions, and the quality of teacher-student relationship. Adopting a psychosocial perspective and based on a single study survey with a group of Italian…
Descriptors: Teacher Student Relationship, Dropout Attitudes, Dropout Prevention, Disadvantaged
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Thao-Trang Huynh-Cam; Long-Sheng Chen; Tzu-Chuen Lu – Journal of Applied Research in Higher Education, 2025
Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…
Descriptors: Foreign Countries, Undergraduate Students, At Risk Students, Dropout Characteristics