DOME:对消除教育贫困的复杂方案影响的混合方法评估

IF 1 4区计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Performance Evaluation Pub Date : 2023-04-01 DOI:10.1177/13563890231166979

G. Tomei

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引用次数: 0

摘要

发展成果监测和评价(DOME)是一种混合和参与性的方法，用于评估复杂和创新方案的影响。它已在意大利制定并正在应用，以评价消除青少年教育贫困的干预措施。方法过程的重点是发现由复杂方案的关键行动者实施的战略变革(成果)，在不同的地理区域实施，并由公私伙伴关系管理。DOME以新的方式结合监测和评价领域中已经使用的方法- -变化理论、反事实分析、发展评价和跟踪研究。

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DOME: A mixed-method evaluation of the impacts of complex programmes against educational poverty

Developmental Outcome Monitoring and Evaluation (DOME) is a mixed and participatory method for the impact assessment of complex and innovative programmes. It has been developed and is being applied in Italy for the evaluation of interventions to combat juvenile educational poverty. The methodological process focuses on the detection of strategic change (outcomes) implemented by key actors in complex programmes, implemented in diverse geographical areas and managed by public–private partnerships. DOME combines methodological approaches already in use in the field of monitoring and evaluation – theory of change, counterfactual analysis and developmental evaluation and trailing research – in new ways.

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来源期刊

Performance Evaluation 工程技术-计算机：理论方法

CiteScore

3.10

自引率

0.00%

发文量

审稿时长

24 days

期刊介绍： Performance Evaluation functions as a leading journal in the area of modeling, measurement, and evaluation of performance aspects of computing and communication systems. As such, it aims to present a balanced and complete view of the entire Performance Evaluation profession. Hence, the journal is interested in papers that focus on one or more of the following dimensions: -Define new performance evaluation tools, including measurement and monitoring tools as well as modeling and analytic techniques -Provide new insights into the performance of computing and communication systems -Introduce new application areas where performance evaluation tools can play an important role and creative new uses for performance evaluation tools. More specifically, common application areas of interest include the performance of: -Resource allocation and control methods and algorithms (e.g. routing and flow control in networks, bandwidth allocation, processor scheduling, memory management) -System architecture, design and implementation -Cognitive radio -VANETs -Social networks and media -Energy efficient ICT -Energy harvesting -Data centers -Data centric networks -System reliability -System tuning and capacity planning -Wireless and sensor networks -Autonomic and self-organizing systems -Embedded systems -Network science