Strategies for achieving equity and inclusion in education, training and learning in democratic Europe

STRIDE将为减少欧洲教育、培训和学习成果不平等的有效教育改革、政策举措和干预措施提供一个新的、全面的和可比较的知识库。STRIDE将通过分析国家和区域系统的教育改革、现有的大规模教育评估数据和关于教育和其他社会政策之间的因果联系以及教育成就不平等的现有纵向数据来做到这一点。在考察学生随时间推移的学习进展时，STRIDE将密切关注各种交叉变量，如社会经济背景、性别、残疾能力、移民状况、家庭语言、幼儿教育和照料(ECEC)出勤率，这些变量可能在不同的背景下以不同的方式影响学习结果。该项目将以创新的方式将不同的方法、数据和学科(比较教育学、政治学、教育学、社会学)结合起来：(1)通过政策分析在国家和地区一级绘制地图，(1)通过政策分析，(2)通过对现有的大规模教育评估数据进行准实验分析，(2)通过对现有的大规模教育评估数据进行准实验分析，(2)通过分析现有的纵向数据和登记数据，结合对政策制定者观点的定性调查，分析教育改革和干预措施的效果。通过国家和欧洲利益攸关方的参与，STRIDE将开发政策学习的方法和评估工具，为政策制定者提供一个工具箱，其中包含关于随着时间的推移影响教育结果的增强知识，并展示纵向数据在政策制定中的用处，以减少短期、中期和长期的教育不平等。

STRIDE will provide a new, comprehensive and comparative knowledge-base on effective education reforms, policy initiatives and interventions aimed at reducing inequalities in education, training and learning outcomes in Europe. STRIDE will do this through analyses of education reforms in national and regional systems, existing large-scale educational assessment data and existing longitudinal data on the causal link between educational and other social policies and inequalities in educational achievements. In examining the learning progress of students over time, STRIDE will closely examine to the range of intersectional variables such as socio-economic background, gender, (dis)abilities, migration status, home language, early childhood education and care (ECEC) attendance, which may affect learning outcomes in different ways in different contexts. The project will combine diverse methods, data and disciplines (comparative education, political science, education science, sociology) in innovative ways: mapping at national and regional levels on (1) education reforms in the past 25 years by policy analysis, (2) longitudinal trends of inequalities in educational achievement by quasi-experiment analysis of existing large-scale educational assessment data, and (3) effect of education reforms and interventions by analysis existing longitudinal data and registry data following student cohorts over time combined with a qualitative inquiry into policymakers' perspective. Through the involvement of national and European stakeholders, STRIDE will develop methodology and assessment tools for policy learning offering policymakers a toolbox of enhanced knowledge of whatshapes educational outcomes over time and demonstrating the usefulness of longitudinal data in policy-making to reduce educational inequalities in the short, medium and long term.