Abstract
As part of the series, Springer Briefs in Open and Distance Education, we invited expressions of interest aiming to critically explore and map the potential and challenges of learning analytics in the specific context of open and distributed learning.
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Acknowledgements
The editors wish to acknowledge and thank all of the contributing authors for their forbearance and patience in the production of this book. All have provided valuable insight and pointers for the implementation of learning analytics across a broad range of open and distributed learning contexts.
We offer special thanks to Professor Alan Tait for providing the foreword for this book—Alan’s expertise and his standing within the open, distance learning community is second to none. We are grateful that he made time to review the chapters and provide ongoing encouragement.
Finally we thank the team at Springer for providing their support for this book. It is hoped that it will serve as a useful guide to learning analytics in a crucial, but often underrepresented, context.
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Prinsloo, P., Slade, S., Khalil, M. (2022). Introduction: Learning Analytics in Open and Distributed Learning—Potential and Challenges. In: Prinsloo, P., Slade, S., Khalil, M. (eds) Learning Analytics in Open and Distributed Learning. SpringerBriefs in Education(). Springer, Singapore. https://doi.org/10.1007/978-981-19-0786-9_1
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