Youth-focused Community and Citizen Science (CCS) projects are contexts in which youth can contribute to the entire "data lifecycle"--from data-collection to decision-making with their scientific findings. But data alone does not contain the answers for what action to take and how. Using the educational context of an afterschool CCS bird…

In the wake of the COVID-19 pandemic, educational systems worldwide have faced unprecedented challenges, particularly concerning the support of students based on traditional face-to-face instruction. This study focused on the concerns surrounding 2nd grade students at LEA and DRA, two urban elementary schools, who have faced multiple layers of…

This study examines what forms of data school leaders use, how they matter for students' learning, and which school contexts matter for such leadership practices to succeed. Utilizing hierarchical linear modeling, we analyzed survey responses from 1,381 school leaders and administrative data from 269 Florida schools. We find that although school…

Research indicates that data-informed practice helps teachers change their teaching and promotes teacher professional development (TPD). Although educational data are often collected from digital spaces, in-action evidence from physical spaces is seldom gathered, providing an incomplete view of the classroom reality. Also, most learning analytics…

The Nigerian primary school system has recently undergone a major change. School system change can be either piecemeal or systemic. Systemic change provides a framework for an all-inclusive model of change that relies on locally-driven, system-wide change guided by stakeholders through ongoing collaboration and joint ownership of the change…

Over the course of four meetings, the Hunt-Lee Commission engaged in comprehensive conversations around key education opportunities including transitions, structure and alignment, funding, and access. Each meeting included presentations from resource experts and opportunities for Q&A and small group discussions. The final report summarizes…

Educational improvement projects are increasingly focused upon the significant role of data in determining student performance, teachers' learning, and schools' ability to initiate local reforms. Thus, schools are moving toward a new approach to learning, progressing from the routine to the non-routine through inquiry-based working. In addition,…

This article studies the relationship between teachers' perceptions of distributive leadership and inquiry-based work in primary schools and the resulting impact on those teachers' capacity to contribute to educational change. The path analysis that tests the proposed model relies on questionnaire data collected from 787 teachers in 65 primary…

In 2008, a diverse group of New York City leaders--including representatives from the NYC Department of Education, the teacher and administrator unions, the philanthropic and business communities, and New York University--came together to establish the Research Alliance for New York City Schools. Since that time, the Research Alliance has worked…

This chapter reviews actionable data use--both as an umbrella term and as a specific concept--developed in three different traditions that data/information can inform and guide P-20 educational practice toward better outcomes. The literatures reviewed are known as data-driven decision making (DDDM), education data mining (EDM), and learning…

Based on the recommendations of the K-3 Assessment Think Tank, an assessment design team consisting of current and former educators and early childhood education scholars developed a kindergarten entry formative assessment (KEA) which was piloted in 193 classrooms during the first 60 instructional days of the 2014-2015 academic year. North…

FirstSchool is a groundbreaking framework for teaching minority and low-income children. This work discusses the research and practice to date that defines FirstSchool as a critical approach to closing the achievement and opportunity gaps. Changing the conversation from improving test scores to improving school experiences, it features lessons…

Data-driven decision making (DDDM), applied to student achievement testing data, is a central focus of many school and district reform efforts, in part because of federal and state test-based accountability policies. This paper uses RAND research to show how schools and districts are analyzing achievement test results and other types of data to…