The National Association of School Psychology recognizes the role that family engagement holds on school functioning and student outcomes. This article describes a qualitative study using constructivist grounded theory to explore systems-level family engagement practices in urban schools that implemented a Comprehensive Behavioral Health Model…

State education agencies are sitting on rich repositories of quantitative and qualitative assessment data. This document is designed to provide a conceptual framework and implementation guidance that can help agency leadership leverage and interrogate student performance data in systematic ways for reporting, outreach, and planning purposes. The…

Students of color represent the majority of enrollment in career and technical education (CTE) fields of study at community and technical colleges, which offer programs as pathways to further education, jobs, and careers. The Career and Technical Education CoLab (CTE CoLab) aimed to advance racial equity by reducing disparities in academic and…

The literature linking adulthood criminality to cumulative disadvantage and early school misbehavior demonstrates that understanding the mechanisms underlying student behavior and the responses of teachers and administrators is crucial in comprehending racial/ethnic disparities in actual or perceived school misbehavior. We use data on 19,160 ninth…

Choices made on data visualizations guide how users make meaning of the information presented. This research investigates design decisions made on 115 state-level dashboards reporting school safety data. Using pre-determined codes drawn from a framework of visualization rhetoric, dashboard characteristics were described and analyzed. Analysis…

In recent decades, there has been a growing body of research that highlights local education authorities (LEA) as potential contributors to support school capacity building and result development. Despite this, there are few empirical studies that have explored what effects different strategies and policy actions from the LEAs actual have over…

In this study, it was aimed to develop a Likert-type scale that will allow to measure the effectiveness of data-driven decision-making in schools in a valid and reliable way. The study group of the research consists of 179 school administrators working in public primary, secondary and high schools in Kahramanmaras province in the 2019-2020…

Supporting language skills for children who evidence delays in preschool is an important area of focus for school-age reading outcomes. Two preschool teachers were trained to implement a play-based language intervention, Enhanced Milieu Teaching (EMT), with children from low-income households with delayed language skills. A multiple-baseline…

A gap in practice at CES Elementary School (pseudonym) was the lack of data driven instructional decision making that contributed to the problem of low school scores on the State of Texas Assessments of Academic Readiness (STAAR). Low STAAR scores have negatively impacted student, teacher, and administrator retention. Unsuccessfully, data chats…

This study describes the experiences of teachers during a data-driven inquiry process to improve literacy-related practices. This action research was initiated at an international English immersion school for native Chinese speakers. Two 9th grade professional learning communities (PLC) from the English and Social Studies departments…

Purpose: The purpose of this study was to better understand K-12 district leaders' reasoning and processes for selecting and deploying EdTech instructional products, including which, if any, types of data are used to support decision-making. Design/methodology/approach: This multisite case study of educational technology (EdTech) decision-making…

In order to study the manifestation of data sense and identify ways of thinking about variability in authentically realistic problems in a group of Chilean fifth-grade students, a lesson plan was designed and implemented, within the framework of statistical literacy and using the "lesson study" modality, in which students were urged to…

The papers in the special series describe the role of data-based decision-making (DBDM) in improving the outcomes of students with learning disabilities based on research across Germany, the Netherlands, and the United States. The articles address multiple aspects of a model of DBDM that includes the role of teacher knowledge, skills, beliefs, and…

Dramatic shifts brought about by globalization, technological innovation, and data-driven decision-making practices are immensely reflected in the landscape of 21st century higher education. Learning Analytics or LA is an emerging multidisciplinary, technological practice with the ultimate goal of producing effective learning to improve students'…

This paper explores the student achievement-related decision-making processes of eight school principals in Ontario, Canada. First, we describe Ontario's public education system with respect to neo-liberalism and student achievement. Next, we review general approaches to reducing the achievement gap as it pertains to matters of race. We then show…