Learning analytics in open and distributed learning : potential and challenges / Paul Prinsloo, Sharon Slade, Mohammad Khalil, editors.
This book explores and further expands on the rich history of theoretical and empirical research in open and distributed learning, and addresses the impact of the "data revolution" and the emergence of learning analytics on this increasingly diverse form of educational delivery. Following...
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| Other Authors: | , , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Singapore :
Springer,
2022.
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| Series: | SpringerBriefs in education. SpringerBriefs in open and distance education,
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| Subjects: | |
| Online Access: | Springer Humanities and Social Science eBook Collection 2022 English/International |
| Summary: | This book explores and further expands on the rich history of theoretical and empirical research in open and distributed learning, and addresses the impact of the "data revolution" and the emergence of learning analytics on this increasingly diverse form of educational delivery. Following an introductory chapter that maps the book’s conceptual rationale, the book discusses the potential, challenges and practices of learning analytics in various open and distributed contexts. A concluding chapter briefly summarises the chapters before providing a tentative future research agenda for learning analytics in open and distributed environments. |
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| Physical Description: | 1 online resource (vii, 126 pages) : illustrations (some colour). |
| ISBN: | 9789811907852 9789811907869 9811907854 9811907862 |
| ISSN: | 2509-4343 |