With increased focus on data literacy and data science education in K-12, little is known about what makes a data set preferable for use by classroom teachers. Given that educational designers often privilege authenticity, the purpose of this study is to examine how teachers use features of data sets to determine their suitability for authentic…

To support and better understand how to scale effectively, in 2020, the Millions Learning project at the Center for Universal Education (CUE) at Brookings joined the Global Partnership for Education's (GPE) Knowledge and Innovation Exchange (KIX), a joint partnership between GPE and the International Development Research Centre (IDRC), to…

Growing awareness of reading difficulties such as dyslexia have prompted the rise of legislation requiring schools to screen all students for reading difficulties. Universal screening programs involve quick, regular assessments of specific reading-related skills so that educators can determine which students need support. Robin Irey and colleagues…

Purpose: School principals are increasingly responsible for acting as instructional leaders, but research on data teams typically considers principals as secondary players responsible for ensuring that meetings occur but not necessarily for their quality. We investigated how elementary school principals in one district committed to data use…

Education research for practice is in need of textbook studies, especially those having well-defined theoretical framework. This paper is an attempt to apply phenomenography in textbook research. It begins with a review of four existing types of textbook studies found in the literature. Next, the main features of phenomenography (qualitative…

Learning analytics are increasingly used in medical education to analyze data and make decisions about learners' abilities. While there are many potential benefits of using learning analytics to drive improvement in medical education, there are also ethical concerns surrounding how this may affect learners and their patients. We conducted a…

The federal trust responsibility is a legal obligation, rooted in legal and political precedent, in which the U.S. government commits to protect tribal sovereignty, resources, and welfare. For Indigenous communities, there is a long history of broken promises between the U.S. and tribal governments through discriminatory policies and a lack of…

The study addressed leadership knowledge sharing among elementary school principals. School principals' comments regarding difficulty sharing what they have learned on the job about leadership gave impetus to investigating components of leadership that are not readily shared. Their comments implied both limited opportunities and limited language…

Organisational success increasingly depends on data-driven decision-making, which is making data literate talent essential. However, building a data-literate workforce is challenging, as data literacy is complex, context-dependent, and varies across sectors. This study explores the challenges middle managers face in using data for decision-making…

High teacher attrition rates may contribute to educational inequity for students, primarily for those who are members of marginalized communities. Currently, teacher retention rates are lowest in low-income, high-minority schools and districts. As one way to level the playing field, educational leaders may be able to use teacher mentor programs to…

When Dr. Tina Lupton and Dr. Timisha Barnes-Jones joined the Winston-Salem/Forsyth County Schools, Opportunity Culture implementation was happening in the midst of COVID. Lupton, the executive director of professional learning, and Barnes-Jones, the area superintendent for a network of 15 transformation schools, used their experience in other…

Educational data mining is an emerging interdisciplinary research area involving both education and informatics. It has become an imperative research area due to many advantages that educational institutions can achieve. Along these lines, various data mining techniques have been used to improve learning outcomes by exploring large-scale data that…

Socially shared regulation contributes to the success of collaborative learning. However, the assessment of socially shared regulation of learning (SSRL) faces several challenges in the effort to increase the understanding of collaborative learning and support outcomes due to the unobservability of the related cognitive and emotional processes.…

This study focuses on the impacts of programs designed to develop and support teacher leaders to improve instruction in their schools. Using surveys of teachers in 45 schools in four districts and interview data, we found that the frequency of teachers' work with a teacher leader on professional growth, instructional planning, and…

As the debate on data in the society and in education grows the attention on data-trace as 'primary material' for governance, educational quality and innovation falls under the spotlights. In this context, HEIs have been put under pressure to adopt quantitative metrics and evaluation approaches enhancing the massive collection of trace data.…