As in international schooling contexts, talk about data-driven practice has become ubiquitous in schooling dialogues in the USA, and with the pending reauthorization of the No Child Left Behind Act (the main driver of increased data use in American schools), educators in the USA should expect even greater calls for formalized data use. Yet, the…

Students with or at-risk for emotional and behavioral disorders pose an immense challenge for educators, and typical practices to address them are punitive and exclusionary, leading to poor academic and social outcomes for students. To address the complex needs of students with intensive emotional and behavioral needs, evidence-based practices and…

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 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…

Decades of research show that exclusionary discipline practices (e.g., office discipline referrals, suspensions) are disproportionately applied for specific racial groups. Losen and Skiba (2010) found that African American students are three times more likely to be suspended as their White peers. Although the problem of disciplinary inequity is…

This case study evaluated the impact of science, technology, engineering, and mathematics initiatives in improving educational outcomes in the United Kingdom. Using secondary data in the form of official datasets approved by the national pupil database, Year 7 cohort was longitudinally followed from the beginning of Key Stage 3 till the end of Key…

Data-informed instructional methods offer tremendous promise for increasing the effectiveness of teaching, learning, and schooling. Yet-to-be-developed data science approaches have the potential to dramatically advance instruction for every student and to enhance learning for people of all ages. Next steps that emerged from a recent National…

Technology makes it easier than ever for educators to generate meaningful, ongoing data to inform their teaching, track student progress, and personalize learning. When the author began to explore how she could use technology to quickly assess student skills, data became exciting and took on a new role in her teaching practice. Now she uses data…

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…

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…

This article describes a visual approach to integrating observational data into self-evaluation and peer review of teaching, practices that can lead to adoption of evidence-based active-learning strategies in STEM. This approach was designed to be implemented for undergraduate courses across disciplines. The presentation of observational data in a…

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…

Several scholars have recommended using data from neuropsychological tests to develop interventions for reading and mathematics. The current study examined the effects of using neuropsychological data within the intervention process with meta-analytic procedures. A total of 1,126 articles were found from an electronic search and compared to…