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Learning Analytics in Open and Distributed Learning = Potential and Challenges /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Learning Analytics in Open and Distributed Learning/ edited by Paul Prinsloo, Sharon Slade, Mohammad Khalil.
Reminder of title:
Potential and Challenges /
other author:
Prinsloo, Paul.
Description:
VIII, 126 p. 19 illus., 15 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Education. -
Online resource:
https://doi.org/10.1007/978-981-19-0786-9
ISBN:
9789811907869
Learning Analytics in Open and Distributed Learning = Potential and Challenges /
Learning Analytics in Open and Distributed Learning
Potential and Challenges /[electronic resource] :edited by Paul Prinsloo, Sharon Slade, Mohammad Khalil. - 1st ed. 2022. - VIII, 126 p. 19 illus., 15 illus. in color.online resource. - SpringerBriefs in Open and Distance Education,2509-4343. - SpringerBriefs in Open and Distance Education,.
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.
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.
ISBN: 9789811907869
Standard No.: 10.1007/978-981-19-0786-9doiSubjects--Topical Terms:
555912
Education.
LC Class. No.: L1-991
Dewey Class. No.: 370
Learning Analytics in Open and Distributed Learning = Potential and Challenges /
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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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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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