Learning Analytics in Open and Distributed Learning

Beschreibung

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.
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.
Examines the challenges and practices of learning analytics in open, distance and distributed learning environments Expands on the history of theoretical and empirical research in distance education Outlines future research directions and evidence-based strategies for policymakers and educators

Autor*in

Paul Prinsloo

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Distance Learning Distance Education Open Distance Learning Distributed Learning Learning Analytics Big Data in Education Student Data Social Network Analysis Student Success and Retention

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