Experts have heralded domain-specific play-based curricula coupled with regular coaching and training as our "strongest hope" for improving instructional quality in large-scale public preschool programs. Yet, details from different evaluations of the strongest hope model are not systematically compiled, making it difficult to identify…

Under both No Child Left Behind and the Every Student Succeeds Act, school leaders have been mandated to employ data-driven decision-making (DDDM) to diagnose student needs, implement targeted supports, and design school improvements. However, district administrators tasked with developing principals' DDDM capacity face a tough road. The authors…

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…

Background: This research review provides an analysis of current research related to school and district data use, with a particular focus on identifying key characteristics of schools and districts with effective "data using cultures." The research review identifies and analyzes findings in five key areas of practice: communicating…

Data utilization is a key component of school improvement as data can be used to enhance student achievement both systematically and on an individual student level. Through systemically analyzing multiple sources of data, educators can make informed and knowledgeable school improvement decisions. In order to effectively make data-drive decisions…

In this study, we examined how in-service middle-level mathematics teachers used statistics in their own classroom research. Using an embedded single-case design, we analyzed a purposefully selected sample of nine teachers' classroom research papers, identifying several themes within each phase of the statistical problem solving process to…

This chapter details the process the University of Michigan developed to build institutional capacity for learning analytics. A symposium series, faculty task force, fellows program, research grants, and other initiatives are discussed, with lessons learned for future efforts and how other institutions might adapt such efforts to spur cultural…

Background: Data use has been promoted as a panacea for instructional improvement. However, the field lacks a detailed understanding of how teachers actually use assessment data to inform instruction and the factors that shape this process. Purpose: This article provides a review of literature on teachers' use of assessment data to inform…

This study examined the influence of a professional development project about an internet-based mathematics formative assessment tool and related pedagogies on primary teachers' instruction and student achievement. Teachers participated in 72 h of professional development during the year. Descriptive statistics and multivariate analyses of…

The concern over big data and ramifications of its use permeates many, if not all, aspects of life in the 21st century. With the advent of online learning, another area of concern, one that directly impacts the world of education, has been added: the use of data within online professional development settings. In this article, we examine the type…

Purpose: Though test-based accountability policies seek to redress educational inequities, their underlying theories of action treat inequality as a technical problem rather than a political one: data point educators toward ameliorative actions without forcing them to confront systemic inequities that contribute to achievement disparities. To…

Schools in many different countries are increasingly expected to use data for school improvement. However, schools struggle with the implementation of data use, because building human capacity around data use in education has not received enough attention. Educators urgently need to develop data literacy skills for being able to use data. For…

This paper examines to what extent and how the data and results of PISA have been used for various education stakeholders and to what extent PISA affect educational policy and practices in Hong Kong. From the point of view of the government, PISA has played an important role in supporting and legitimising government educational reform since 2000.…

This article shares a school based inquiry project undertaken by staff in a special day school in the North Island of New Zealand supported by an external teacher educator/researcher from the United States. The inquiry project followed the Accessible Research Cycle (Jones, Whitehurst, & Egerton, 2012), which is a phased progression of…

Purpose: The use of data for instructional improvement is prevalent in today's educational landscape, yet policies calling for data use may result in significant variation at the school level. The purpose of this paper is to focus on tools and routines as mechanisms of principal influence on data-use professional learning communities (PLCs).…