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

Format:

Book

Contributor:

Prinsloo, Paul, editor.

Slade, Sharon, editor.

Khalil, Mohammad, editor.

Series:

SpringerBriefs in education. SpringerBriefs in open and distance education, 2509-4343

SpringerBriefs in open and distance education, 2509-4343

Language:

English

Subjects (All):

Education--Data processing.

Education.

Education--Evaluation.

Education, Higher--Evaluation.

Education, Higher.

Genre:

Electronic books.

Physical Description:

1 online resource (vii, 126 pages) : illustrations (some color).

Place of Publication:

Singapore : Springer, 2022.

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.

Contents:

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.

Notes:

Online resource; title from PDF title page (SpringerLink, viewed May 20, 2022).

ISBN:

9789811907869

9811907862

OCLC:

1319081971

Access Restriction:

Restricted for use by site license.