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Learning Analytics Enhanced Online Learning Support.
・ISBN 978-1-032-62939-1 2023 hard GB£ 171.99
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・ISBN 978-1-032-63705-1 2025 paper GB£ 46.99
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電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 978-1-032-63704-4
| 著者・編者 | Li, Shuang, |
|---|---|
| 出版社 | (Routledge, UK) |
| 出版年月 | 2023.12 |
| ページ数 | 184 pp. |
| 言語 | ENG |
| ニュース番号 | <707-1172> |
解説
Offering the latest developments in online education in the era of big data, this book explores theories, technologies, and practices in the field of data-driven online learning support services using learning analytics.
This book is divided into five chapters. Chapter 1 reflects and reconstructs the connotation of learning support against the backdrop of education reform, the rise of learning analytics, and the upgrading of the demand for learning services in the new era. Chapter 2 presents a P-K-DSE-E model of online learner characteristics and discusses measurement and data representation methods for learner characteristics based on it. Chapters 3-5 focus on the three types of learning support that are closely related to learning performance and satisfaction, including the promotion of social learning, electronic learning assessment based on the learning process, and personalized tutoring and support. This book innovatively develops the concept, theory, and practical methods of student support services in distance education traditional practices in the new era and provides valuable exploration of data-driven personalized learning service methods and technologies in the era of artificial intelligence through rich examples.
This book will be essential reading for students and scholars of distance and online education, educational technology, and audiovisual education.