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.
Edited by:
Clara Schumacher,
Dirk Ifenthaler
Imprint: Routledge
Country of Publication: United Kingdom
Dimensions:
Height: 229mm,
Width: 152mm,
Weight: 453g
ISBN: 9781032842738
ISBN 10: 1032842733
Pages: 286
Publication Date: 05 December 2025
Audience:
College/higher education
,
Professional and scholarly
,
Primary
,
Undergraduate
Format: Hardback
Publisher's Status: Forthcoming
1. The Impact of Advanced Digital Technology on Teacher Data Literacy Research: A Systematic Literature Review Chapter 2. Mapping Educational Data Literacy: A Bibliometric Analysis of Interdisciplinary Perspectives, Theoretical Frameworks, and Assessment Measures 3. For Education and Beyond: Towards a Comprehensive Framework for Data and AI Literacy 4. Self, Society and Data: Data Literacy for Media Education 5. Data and Critical Data Literacy in Democratic Decision Making: The Case of School Boards 6. Teachers’ Data-Competent Use of Results from Standardized Achievement Tests – Construct Definition and Operationalization 7. Crafting Data Literacy: Higher Education Teachers’ Unique Learning Ecologies 8. Enhancing Data Literacy in Higher Education Instructional Design 9. Developing Educational Data Literacy: From Online Course Design to Classroom Practice 10. Integrating Network Data Literacy to Explore Meaningful Interactions in Asynchronous Online Courses: A Practical Coursework Case Example Applying the i-SUN Framework 11. Promoting Data Literacy for Citizenry. Educators’ Evaluation of a Codesign Approach to Educational Games
Clara Schumacher is post-doctoral researcher of Digital Education in the Department of Educational Sciences at the University of Potsdam, Germany. Dirk Ifenthaler is Professor and Chair of Economic and Business Education – Learning, Design and Technology at the University of Mannheim, Germany, and Professor and UNESCO Co-Chair on Data Science in Higher Education Learning and Teaching at Curtin University, Australia.
