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Learning analytics in open and distributed learning : potential and challenges / Paul Prinsloo, Sharon Slade, Mohammad Khalil, editors.

Prinsloo, Paul, editor.; Slade, Sharon, editor.; Khalil, Mohammad, editor.
2022
LB1028.43
Available Online
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Title
Learning analytics in open and distributed learning : potential and challenges / Paul Prinsloo, Sharon Slade, Mohammad Khalil, editors.
ISBN
9789811907869 (electronic bk.)
9811907862 (electronic bk.)
9789811907852 (print)
9811907854
DOI
https://doi.org/10.1007/978-981-19-0786-9
Published
Singapore : Springer, 2022.
Language
English
Description
1 online resource (vii, 126 pages) : illustrations (some color).
Item Number
10.1007/978-981-19-0786-9 doi
Call Number
LB1028.43
Dewey Decimal Classification
370.285
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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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed May 20, 2022).
Added Author
Prinsloo, Paul, editor.
Slade, Sharon, editor.
Khalil, Mohammad, editor.
Series
SpringerBriefs in education. SpringerBriefs in open and distance education.
Available in Other Form
Print version: 9789811907852
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Foreword
Introduction
Chapter 1: The Potential of Learning Analytics for Intervention in ODL; Billy Wong
Chapter 2: A Global South perspective on learning analytics in an Open Distance e-Learning (ODeL) institution; Angelo Fynn, Jaroslaw Adamiak & Kelly Young
Chapter 3: Learning analytics in open and distance higher education: The case of the Open University UK; Avinash Boroowa; Christothea Herodotou
Chapter 4: Mobile Multimodal Learning Analytics Conceptual Framework to Support Student Self-Regulated Learning (MOLAM); Mohammad Khalil
Chapter 5: Designing a Social Learning Analytics Tool for Open Annotation and Collaborative Learning; Jeremiah H. Kalir
Chapter 6: Situating Learning Analytics for Course Design in online secondary contexts; Joshua Quick & Rebecca C. Itow
Chapter7: Ethical considerations of artificial intelligence in learning analytics in distance education contexts; Leona Ungerer & Sharon Slade
Chapter 8: Conclusion.

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