方案:解决辍学问题的预防、干预和补偿方案:证据和差距图

IF 4 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY
Marta Pellegrini, Carmen Pannone, Daniela Fadda, Laura Francesca Scalas, Giuliano Vivanet, Amanda Neitzel
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引用次数: 0

摘要

学生在完成中等教育之前辍学的问题是一个全球性的问题,对个人和社会都有重大影响。不同的术语,如早退(ESL)、早退(ELET)和辍学,反映了对这一现象的不同政策视角。尽管国际社会努力解决辍学问题,但缺乏一项全面的审查,确定有强有力证据和研究差距的领域。本证据与差距图(EGM)系统地审查了旨在减少辍学率和改善中间结果(如教育成绩、出勤率)的项目的证据。根据2011年欧洲理事会建议,干预措施分为三个领域:预防、干预和补偿。EGM将为学校和政策决策者以及项目开发者提供研究证据的概述,这些研究证据有助于指导减少辍学率的努力和设计有效的项目。通过精确指出研究差距,EGM将有助于确定需要进一步调查的关键领域,以便更好地了解和解决辍学项目的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Protocol: Prevention, Intervention, and Compensation Programs to Tackle School Dropout: An Evidence and Gap Map

Protocol: Prevention, Intervention, and Compensation Programs to Tackle School Dropout: An Evidence and Gap Map

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 efforts to address school dropout, a comprehensive review identifying areas with strong evidence and research gaps is lacking. This Evidence and Gap Map (EGM) systematically reviews the evidence on programs aimed at reducing school dropout and improving intermediate outcomes (e.g., educational performance, attendance). Following the 2011 European Council Recommendations, interventions are categorized into three domains: prevention, intervention, and compensation. The EGM will provide school and policy decision-makers, as well as program developers, with an overview of research evidence useful for guiding efforts to reduce school dropout and design effective programs. By pinpointing research gaps, the EGM will help identify critical areas where further investigation is needed to better understand and address the impact of school dropout programs.

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来源期刊
Campbell Systematic Reviews
Campbell Systematic Reviews Social Sciences-Social Sciences (all)
CiteScore
5.50
自引率
21.90%
发文量
80
审稿时长
6 weeks
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