The purpose of this document is to help education agencies identify the types of workforce data that are most useful for understanding immediate teacher shortages and monitoring educator supply and demand, as well as best practices for using these data. This resource supplements the information in the "Forum Guide to Staff Records"…

Assessment professionals are often at the helm of leading discussions around data-use and data-driven decisions for higher education stakeholders. However, the problem is that assessment practitioners must be cognizant of how to engage stakeholders with equity-minded and socially just informed assessment practices. The purpose of this article is…

This paper reports results from an Australian study into how teachers see features of quality in student work and connect these to next-step teaching. Data were drawn from a national 3 year project investigating teacher judgement using A-E standards. The project developed scaled exemplars of authentic student written performance assessments to…

The purpose of this study was to examine the amount of attention devoted to data-based decision-making in Curriculum-Based Measurement (CBM) professional development materials. Sixty-nine CBM instructional sources were reviewed, including 45 presentations, 22 manuals, and two books. The content of the presentations and manuals/books was coded into…

Using evidence of student thinking and performance is crucial to enacting ambitious science teaching because intimate, formative data can be responsive to student ideas about science. However, narratives and policies about assessment and data use do not always position teachers to draw on the breadth and variety of evidence from the classroom to…

Data-driven decision making (DDDM) involves using information gathered from and about students to make ongoing decisions about their instruction. Many teachers struggle with implementation of DDDM practices to optimize instruction, underscoring the importance of teacher education vis-à-vis DDDM. The present study secondarily analyzed existing data…

This study aimed to investigate the influences instructional coaching had on middle school math teachers. Accountability demands have impacted teaching and learning, and the push to use high stakes tests to measure teacher quality and effectiveness has limited teacher autonomy, agency, and efficacy. Teachers need professional learning that…

Insights derived from classroom data can help teachers improve their practice and students' learning. However, a number of obstacles stand in the way of widespread adoption of data use. Teachers are often sceptical about the usefulness of data. Even when willing to work with data, they often do not have the relevant skills. Tools for analysis of…

As countries make continued investments in early childhood care and education (ECCE) systems, data and measurement play a critical role in outlining strengths and areas for improvement. To promote data-driven decision-making across all levels of early childhood systems, measurement must be valid, reliable, and feasible, especially when used at…

Data-driven decision-making (DDDM) requires educational leaders and teachers to monitor and evaluate programs and processes and link results to individual and organizational outcomes. A classroom teacher's ability to collect and review data, analyze data to identify trends and strategies for student achievement, and use data to determine and…

The purpose of this manuscript is to share the work of a collaboration between professional development providers and university faculty as they created, implemented and refined a professional development series focused on supporting primary teachers' use of data-based decision making in reading. Using a formative and design-based approach,…

There is evidence that data-based decision-making (DBDM) can improve outcomes for a wide range of students. However, less is known about how special education teachers are trained to use data to inform instruction that targets academic progress for students with extensive support needs (ESN). The purpose of this systematic literature review was to…

Millions of children in the United States struggle with reading acquisition, many of whom are identified with developmental dyslexia (DD). Although experimental research indicates that evidence-based reading interventions can bring many of these children to average-range reading skills, such promising outcomes are not commonly achieved within K-12…

Evidence based decision making is essential for enabling improved student learning. Teacher motivations and beliefs about the types and use of data are critical determinants of decision making. Our research explored the types of data teachers use and consider valuable when measuring improvement in student learning. Findings from 294 teachers from…

A large suburban school system in the mid-Atlantic United States identified the Data Wise Improvement Process (DWIP) as a systemic strategy to achieve the district-wide goal of student achievement for college and career readiness. Elementary science teachers marginally participated in school-based instructional team meetings to analyze student…