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

STRIDE将为有效的教育改革、政策倡议和干预措施提供一个新的、全面的和可比较的知识基础，以减少欧洲教育、培训和学习成果方面的不平等。该战略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以及关于教育和其他社会政策与教育成就不平等之间因果关系的现有纵向数据来做到这一点。在审查学生一段时间以来的学习进展时，STRIDE将密切审查一系列交叉变量，如社会经济背景、性别、能力（障碍）、移民身份、家庭语言、幼儿教育和保育（ECEC）出勤率，这些变量可能在不同情况下以不同方式影响学习成果。该项目将结合联合收割机不同的方法、数据和学科（比较教育、政治学、教育学、社会学）以创新的方式：在国家和区域两级绘制下列方面的地图：（1）通过政策分析，绘制过去25年的教育改革;（2）通过对现有大规模教育评估数据进行准实验分析，绘制教育成就不平等的纵向趋势;以及（3）通过分析现有的纵向数据和随时间推移的学生群体登记数据，结合对决策者观点的定性调查，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将制定政策学习的方法和评估工具，为决策者提供一个工具箱，使他们更好地了解长期以来影响教育成果的因素，并展示纵向数据在决策中的有用性，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.