What is data intelligence? How can data intelligence influence education system systematically? The paradigm shift of scientific research implies a coming age of data-driven educational research and practice. This book presents research and practice of data intelligence in education from three levels: (i) educational governance, (ii) teaching practice, and (iii) student learning. Each chapter gives an analysis of fundamental knowledge, key themes, the state-of-the-art technologies and education application cases. This interdisciplinary book is essential reading for anyone interested in applying big data technology in education and for different stakeholders including education administrators, teachers, students, and researchers to broaden their minds to wisely use educational data to solve complex problems in the education field.
Contents:
- Preface
- About the Authors
- Foundation of Data Intelligence in Education
- Data Intelligence in Education Governance
- Data-Driven Teaching Practice
- Data-Empowered Student Learning
- Impacts, Challenges, and Future Directions
- Index
Readership: Advanced undergraduate and graduate students, and researchers in the fields of education technology, education administration and learning science, as well as K-12 teachers and school principals.
Key Features:
- This book introduces a systematic study of data intelligence in education for the benefit of different stakeholders including education administrators, teachers, and learners
- The book also sheds light on what critical issues from the whole education system and more specifically within teaching and learning practice can be addressed through the adoption of data-driven solutions
- The book contributes to our knowledge regarding how school leaders, teachers, students, and researchers can form co-partnership with data technologies to transform the education system
