Education Data Management

Principles and Practices
1. Auflage 2027
ISBN: 978-1-041-29440-5
Verlag: Taylor & Francis Ltd

Buch, Englisch, 550 Seiten, Format (B × H): 152 mm x 229 mm

This timely textbook addresses the growing demand for data-driven decision-making in education while tackling the pressing challenges of privacy, security, and ethical considerations that accompany our increasingly datafied educational environments.

The authors establish robust research foundations through open science and FAIR principles, navigate the intricate responsibilities surrounding data privacy and governance, and implement practical infrastructure solutions for managing big data in educational settings. This textbook emphasizes the transformative potential of open science while providing concrete strategies for ensuring data quality, facilitating interoperability, and developing comprehensive data management plans. Applicable sections include hands-on exercises and practical scenarios that ground theoretical knowledge in real-world practice.

The book challenges researchers, administrators, and educators to look beyond the big data and reconsider the fundamental concepts of data stewardship with a renewed sense of urgency.

Zielgruppe

Postgraduate

Autoren/Hrsg.

Gülbahar, Yasemin

Arslan, Okan

Fachgebiete

• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie
• Sozialwissenschaften Pädagogik Pädagogik

Inhaltsverzeichnis

Section I  1. The Data Dividend: Open Science and the Future of Discovery 2. The Intertwined Landscape of Research Data and Data Culture in Education 3. Managing and Sharing FAIR Data in Educational Research 4. Ensuring Data Quality Through Comprehensive Documentation 5. Facilitating Interoperability for Data Reuse in Education Section II 6. Data Privacy and Governance: Managing the Inherent Risks 7. Navigating Data Ethics and Legalities in Educational Contexts 8. Implementing Data Security and Navigating Licensing in Education 9. Formulating a Data Strategy Considering Economic Implications 10. The Role of Data Repositories in Curation and Preservation Section III  11. Educational Data Infrastructure and Big Data Ecosystems 12. Data Modeling Foundations for Educational Systems 13. Relational Models and SQL for Educational Data 14. From Queries to Insights: Educational Analytics Workflows 15. Future Directions in Educational Data Management

Über Autor(innen)

Yasemin Gülbahar is Professor of Computer Science Education and Educational Technology at Teachers College of Columbia University, USA.

Okan Arslan is Assistant Professor of Instructional Technology at the University of West Georgia, USA.