While research on Learning Analytics (LA) is plentiful, it often prioritises perspectives on LA systems over the practical ways instructors use data to analyse and refine the learning process per se. The present study addresses this inadequacy by investigating how student data is employed by educators in UK Higher Education Institutions (HEIs) and…

In current contexts of education, educators are tasked with using data, most often without any critical preparation to do so. In this way, data are presented as objective measures of student progress and participation in school without consideration of the systemic and structural influences on that progress and participation. This article reports…

How can we prepare students for a world where data-driven decision-making shapes nearly every aspect of life? "Data Minds: How Today's Teachers Can Prepare Students for Tomorrow's World" helps K-8 educators infuse data literacy into everyday lessons across disciplines, without overwhelming existing curricula. Data literacy is an ability…

Data-driven decision making (DDDM) is an important teaching practice that can positively influence student achievement by using assessment data to make instructional decisions. The problem is that teachers do not always use this practice. Teachers' perspectives of DDDM can influence their data use practices. This basic qualitative study was…

The Standards Assessment Inventory (SAI) has provided relevant, educator-level data helping systems of all kinds -- states, districts, schools, provinces, and organizations -- gather and track data about the professional learning their educators experience. An online, confidential, valid, and reliable instrument administered to school-based…

Higher education instructors constantly rely on educational data to assess and evaluate the behavior of their students and to make informed decisions such as which content to focus on and how to best engage the students with it. Massive open online course (MOOC) platforms may assist in the data-driven instructional process, as they enable access…

The purpose of this mixed-methods study is to examine the outcomes of assessment training for elementary teachers. Only 56% of the surveyed teachers (n = 283) had assessment training in their university courses, compared to 84% that received in-service training. The quantitative results indicate that frequency of assessment training is positively…

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…

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…

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…