The current study presents a systematic review of teachers' data literacy, arising from a synthesis of 83 empirical studies published between 1990 to 2021. Our review identified 95 distinct indicators across five dimensions: (a) knowledge about data, (b) skills in using data, (c) dispositions towards data use, (d) data application for various…

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…

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…

Early childhood research and policy have promoted the use of language and literacy assessment data to inform instruction. Yet, there is a limited understanding of preschool teachers' data practices and sensemaking, particularly when considered from the perspectives of practicing teachers. In this multicase study, we used a phenomenological…

There is an extensive need for school systems to reliably assess the data literacy and data use skills of their educators. To address this need, the current study seeks to refine the NU Data Knowledge Scale (NUDKS) for assessing teacher data literacy for classroom data. A data-based decision-making framework provides the theoretical underpinnings…

The study aimed to establish an assessment model for mathematics teachers' knowledge of students' misconceptions in the "Space and Shape" domain, develop the testing tool, investigate and analyse the overall and differences in performance, and propose suggestions for improvement. The assessment model included content knowledge and…

Teachers' knowledge and skills about data-based instruction (DBI) can influence their self-efficacy and their implementation of DBI with fidelity, ultimately playing a crucial role in improving student outcomes. The purpose of this brief report is to provide evidence for the technical adequacy of a measure of DBI knowledge and skills in writing by…

Teachers' knowledge and skills about data-based instruction (DBI) can influence their self-efficacy and their implementation of DBI with fidelity, ultimately playing a crucial role in improving student outcomes. The purpose of this brief report is to provide evidence for the technical adequacy of a measure of DBI knowledge and skills in writing by…

Gaze data are still uncommon in statistics education despite their promise. Gaze data provide teachers and researchers with a new window into complex cognitive processes. This article discusses how gaze data can inform and be used by teachers both for their own teaching practice and with students. With our own eye-tracking research as an example,…

Data permeates our digital world. As data and data visualizations become more ubiquitous in our everyday lives, individuals are required to use it as a resource for meaning making, and we as literacy researchers need to understand the ways that our literacy practices are changing because of data collection, storage, analysis, and transmission.…

Educational process mining is now a promising method to provide decision-support information for the teaching-learning process via finding useful educational guidance from the event logs recorded in the learning management system. Existing studies mainly focus on mining students' problem-solving skills or behavior patterns and intervening in…

Multilingual learners who are autistic bring multiple identities to the classroom (e.g., multilingual, disability). These multiple identities contribute to their "funds of knowledge." Teaching to their multiple identities individually and how they interact involves planning and implementing techniques (e.g., asset mapping, surveys) to…

This study focuses on describing data based school management processes in Türkiye, Spain and Romania. The study group consists of 49 participants. Maximal variation and stratified sampling were applied. For internal trustworthiness, respondent validation, data triangulation and cross check were utilized. For transferability, 'expert opinions' and…

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…

The school accountability system in the Dominican Republic (DR) involves the use of several national assessments, the reporting of such data, and the training of principals on how to use such data as part of school improvement efforts. While this type of indicator accountability system does not include specific consequences, there is still…