While designs of professional learning have expanded exponentially beyond the required-attendance inservice day workshop model, infusing meaningful data into daily decisions and conversations has not gained as much traction. Leaders of professional learning are increasingly coming under pressure to demonstrate that evidence is not an anathema in…

The concept of data-informed decision making (DIDM), a term used interchangeably with data-driven decision making (DDDM) and data-based decision making (DBDM), is relatively new to Irish education and the school planning process. This research sought to clarify what data principals use and how they use that information for school improvement…

Purpose: The purpose of this article is to examine the data conversation moves enacted by leaders and to bridge organizational leadership for equity and data-informed decision making to practice. I argue that data discussion moves with the purpose of improving equity and learning must reflect core tenets of organizational leadership for…

The use of data to improve learning, instruction and student achievement has been a popular educational intervention in countries across the globe. Yet, with all the available data generated by standardized tests or through the course of instruction, systematic use of data as a lever for school change still remains elusive. This article is an…

All students deserve a great education, one that affords them every opportunity to grow into knowledgeable and successful adults. To make this vision a reality, students, parents, educators, and policymakers must have access to the right information to make decisions and support student learning. The Data Quality Campaign's Four Policy Priorities…

For many districts, evaluation is an afterthought to implementing a new initiative. Educators participate in professional learning experiences, apply what they learn to their practice, and then, at some point, school and district staff begin wondering if the initiative is making a difference. Then they scramble for nuggets of data that provide any…

Data-driven decision making continues to be a growing educational reform initiative across the globe. The effective use of data requires that teachers develop the knowledge and skills to analyze and use data to improve instruction. The purpose of this article is to examine teachers' capacity for and beliefs about data use. These issues are…

Drawing on insights from culturally responsive K-12 education frameworks and dual process theory, this qualitative study explores the situated nature of reflective practice among postsecondary faculty and calls for increased critical awareness and institutional support. Through interviews with 21 California research university faculty, this study…

This article makes the case for an approach to reflective practice (RP) that is both evidence-based and data-led. We argue that, while RP within the field of TESOL enjoys a relatively high level of acceptance and status (perhaps even an orthodoxy), it has little corresponding knowledge base that demonstrates how RP "gets done". We…

Every Student Succeeds Act (ESSA, 2015) moves education further along the path toward becoming the evidence-based and data-driven profession that policy makers have continually called for. They have stressed the need for hard evidence to undergird educational decisions rather than relying on anecdotes and intuitions. This means teachers must…

All students deserve a great education, one that affords every opportunity for them to grow into knowledgeable and successful adults. To date, efforts to improve education have operated on a model of mass production, assuming--wrongly--that what works for some students must work for all. To change that model, students and their parents, teachers,…

Although data-based decision making can lead to improved student achievement, data are often not used effectively in schools. This paper therefore focuses on conditions for effective data use. We studied the extent to which school organizational characteristics, data characteristics, user characteristics, and collaboration influenced data use for…

Purpose: The purpose of this paper is to examine how data are used in classroom placement routines. The authors explore educators' assumptions about the purposes of the classroom placement routine, detailing the ostensive (i.e. structure and template) and performative aspects of the routine itself, and the implications of data use for equity and…

There is much enthusiasm in higher education about the benefits of adaptive learning and using big data to investigate learning processes to make data-informed educational decisions. The benefits of adaptive learning to achieve personalized learning are obvious. Yet, there lacks evidence-based research to understand how data such as user behavior…

The federal role in higher education has grown over the past two decades, and now a new administration has the opportunity to strengthen policies that support students and their colleges and universities. To help inform these decisions, the Urban Institute convened a bipartisan group of scholars and policy advisers to write a series of memos…