This article examines digital data use within three Australian secondary schools, drawing on in-depth interviews with 50 school staff to explore tensions between: (i) established logics of "data-driven" schooling; and (ii) emerging "datafied" practices associated with digital systems, platforms and devices. Using sociological…

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…

Improving outcomes for young children with high-intensity needs requires a high-quality workforce trained in equitable, intensive, individualized instructional practices and supports incorporating culturally and linguistically responsive evidence-based practices (Gunn, 2020) and developmentally appropriate practices (DAP; NAEYC, 2021) Nationally…

The adoption of learning analytics (LA) in higher education institutions (HEIs) in Mexico is still at an early stage despite increasing global interest and advances in the field. The use of educational data remains a challenging puzzle for many universities, which strive to provide students, teachers, and institutional administrators with…

To ensure all students, including historically marginalized students, reached their highest capacity, there was a focus on equity in education at the state and national levels. Minimal research existed where researchers explored principals' educational equity mindset, and I found a gap in the literature concerning the use of principals'…

Data-based individualization (DBI) is a framework that allows educators to make timely and informed decisions about student progress in academics or behavior. In this article, we focus on the DBI framework as applied to math intervention within a tiered support model for students experiencing math difficulty. We review how DBI starts with an…

Colleges have access to more data than ever before, and to unlock its full potential, the right culture, processes, and technologies are needed. Given the pressures now facing campuses, the demand for evidence-based approaches to strategy have intensified. As a result, more attention has been placed on the importance of the relationship between…

The focus of this study was on identifying patterns of student behavior to support data-informed decision-making which would then improve the learning experience and learning outcomes of online English language courses. Learning analytics approach (or more specifically cluster analysis) was used to identify engagement patterns in online learning.…

Purpose: This paper establishes the attitude of Australian livestock farmers toward the use of mobile applications (apps) in farmer extension, training and on-farm decision making. It also determines levels of technology adoption of smartphones and agriculture app use, as well as identifies factors that may influence app adoption. Methodology: A…

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,…

Schools that employ evidence-based multi-tiered system of supports (MTSS) frameworks, like Positive Behavioral Interventions and Supports (PBIS), invest in core system, data, and practice features to support students, families, and educators. A strong framework enables settings to enhance and adjust their implementation to meet the needs of all…

This brief provides district PBIS [positive behavioral interventions and supports] leadership teams a framework to examine school-level fidelity and self-assessment data to guide resource, professional development, and technical assistance decision making.

The teacher leaders who get the best results are the ones who explore the role's full potential, but it can be a challenge to get beyond a basic understanding of the responsibilities involved. The National Institute for Excellence in Teaching (NIET) wants to make it easier. "Unleashing Teacher Leadership" presents best practices and…

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…