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Learning analytics in open and distributed learningpotential and challenges /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Learning analytics in open and distributed learningedited by Paul Prinsloo, Sharon Slade, Mohammad Khalil.
其他題名:	potential and challenges /
其他作者:	Prinsloo, Paul.
出版者:	Singapore :Springer Nature Singapore :2022.
面頁冊數:	vii, 126 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	EducationData processing.
電子資源:	https://doi.org/10.1007/978-981-19-0786-9
ISBN:	9789811907869$q(electronic bk.)

Learning analytics in open and distributed learningpotential and challenges /
Learning analytics in open and distributed learningpotential and challenges /[electronic resource] :edited by Paul Prinsloo, Sharon Slade, Mohammad Khalil. - Singapore :Springer Nature Singapore :2022. - vii, 126 p. :ill. (some col.), digital ;24 cm. - 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$q(electronic bk.)

Standard No.: 10.1007/978-981-19-0786-9doiSubjects--Topical Terms:

207353
Education
--Data processing.

LC Class. No.: LB1028.43 / .L43 2022

Dewey Class. No.: 370.285

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