International Perspectives on Educational Data Literacy explores the complexities of educational data literacy, encompassing statistical literacy, assessment literacy, pedagogical knowledge, and data-driven decision-making. Thanks to recent advancements in educational technologies and learning analytics, data collection, analysis, and visualizations can be realized almost in real time, offering new ways of informing teaching and learning as well as educational decision-making. This edited collection synthesizes approaches from diverse nations and contexts into a clear and digestible set of concepts, definitions, skills, and stakeholder responsibilities, offering a rich blend of theoretical insights and strategic applications. Case studies bring to life processes for data-driven decision-making, professional development, ethical considerations, and more; explore its evolution, interdisciplinary facets, and integration with AI literacy; and address its application in media education, democratic decision-making, and teacher training. This book fosters mutual learning on educational data literacy from different settings, highlights the need and contents for new training programs, addresses implications for teacher training curricula, and delineates further research opportunities. Readers will come away with valuable insights into best practices and innovative methods to advance personalized learning, promote equity, and improve instructional design in educational settings.

International Perspectives on Educational Data Literacy explores the complexities of educational data literacy, encompassing statistical literacy, assessment literacy, pedagogical knowledge, and data-driven decision-making. Thanks to recent advancements in educational technologies and learning analytics, data collection, analysis, and visualizations can be realized almost in real time, offering new ways of informing teaching and learning as well as educational decision-making. This edited collection synthesizes approaches from diverse nations and contexts into a clear and digestible set of concepts, definitions, skills, and stakeholder responsibilities, offering a rich blend of theoretical insights and strategic applications. Case studies bring to life processes for data-driven decision-making, professional development, ethical considerations, and more; explore its evolution, interdisciplinary facets, and integration with AI literacy; and address its application in media education, democratic decision-making, and teacher training. This book fosters mutual learning on educational data literacy from different settings, highlights the need and contents for new training programs, addresses implications for teacher training curricula, and delineates further research opportunities. Readers will come away with valuable insights into best practices and innovative methods to advance personalized learning, promote equity, and improve instructional design in educational settings.