Screen LibraryAchieving greater educational impact through data intelligence : practice, challenges and expectations of education /
"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...
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| Main Authors: | |
|---|---|
| Group Author: | ; |
| Published: |
World Scientific,
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| Publisher Address: | Hackensack, NJ : |
| Publication Dates: | [2022] |
| Literature type: | Book |
| Language: | English |
| Series: |
East China Normal University scientific reports,
volume 15 |
| Subjects: | |
| Summary: |
"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"-- |
| Carrier Form: | xv, 191 pages : illustrations, forms ; 24 cm. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9789811232909 9811232903 9780000989840 0000989843 9789811232916 9811232911 |
| Index Number: | LB1028 |
| CLC: | G40-034 |
| Call Number: | G40-034/W959 |
| Contents: | Chapter 1: Foundation of data intelligence in education -- History of data intelligence -- Computer-managed instruction -- Data-driven decision making -- Educational data mining -- Learning analytics -- Definition and characteristics of educational data intelligence -- Definition of data intelligence -- Data types and its origin in education system -- Disciplines of data intelligence -- Data intelligence for different educational stakeholders -- From education management to education governance -- From experience-based to evidence-based teaching -- From standardized to personalized learning -- Summary -- Reference -- Chapter 2: Data intelligence in education governance -- Introduction -- Governing complex education systems in big data era -- Ecological view of education systems -- Data-driven changes in education governance -- Key themes of data-driven education governance -- Policy making in intelligent education governance -- Data-driven policy making -- Digital policy instruments and infrastructures -- Strategies for bringing about changes in policy making process -- Data-enabled education governance from school perspective -- Framework of data-driven school governance -- Practice model for data-driven school governance -- Sustainable implementation of data-driven school governance -- System Dynamics method for governing education systems -- System dynamics method and application to education system -- Cases 1: a system-level model of education governance -- Cases 2: a school-level model of education governance -- Summary -- Reference -- Chapter 3: Data-driven teaching practice -- Introduction -- From experience-based to evidence-based teaching practice -- Learning analytics for learning design -- Learning analytics for course implementation -- Learning analytics of course evaluation -- Data-empowered learning assessment -- Assessment of learning and for learning -- Automated assessment technology -- E-learning portfolio -- Multimodal data for learning assessme |