21 research outputs found

    After-School Programs and Academic Impact: A Study of Chicago's After School Matters

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    What impact can after-school programs have on the educational achievement of high school students? A new study of Chicago's After School Matters (ASM) program -- which offers paid internships in the arts, technology, sports, and communications to teenagers in some of the city's most underserved schools -- finds a relationship between participating in after-school activities and higher class attendance, lower course failures and higher graduation rates.Even after taking into account student demographic characteristics and prior attendance records, students who participate in ASM miss fewer days of school than their classmates. Similarly, students who participated at the highest levels in the after-school program tended to fail fewer core academic courses (English, Math, Science, and Social Studies). Furthermore, over the course of their time in high school, students who were enrolled in ASM for three or more semesters and those who participated at the highest levels had higher rates of graduation and lower dropout rates than similar students who did not participate in the program.The findings in this report highlight the importance of further research into what leads students to participate in after-school programs and the factors that lead to higher engagement and retention once they are enrolled. A better understanding is crucial for improving enrollment in after-school programs such as ASM. Moreover, accounting for student factors that lead to a greater engagement in the program will lead to a clearer understanding of ASM's contribution to the positive outcomes -- independent of hard-to-observe student characteristics such as enthusiasm or dedication

    Virus genomes reveal factors that spread and sustained the Ebola epidemic.

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    The 2013-2016 West African epidemic caused by the Ebola virus was of unprecedented magnitude, duration and impact. Here we reconstruct the dispersal, proliferation and decline of Ebola virus throughout the region by analysing 1,610 Ebola virus genomes, which represent over 5% of the known cases. We test the association of geography, climate and demography with viral movement among administrative regions, inferring a classic 'gravity' model, with intense dispersal between larger and closer populations. Despite attenuation of international dispersal after border closures, cross-border transmission had already sown the seeds for an international epidemic, rendering these measures ineffective at curbing the epidemic. We address why the epidemic did not spread into neighbouring countries, showing that these countries were susceptible to substantial outbreaks but at lower risk of introductions. Finally, we reveal that this large epidemic was a heterogeneous and spatially dissociated collection of transmission clusters of varying size, duration and connectivity. These insights will help to inform interventions in future epidemics

    A Sociological Analysis of the Presidential Staff*

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