Learning Analytics Explained (Paperback) book cover

Learning Analytics Explained

By Niall Sclater

© 2017 – Routledge

278 pages

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Paperback: 9781138931732
pub: 2017-02-24
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Description

Learning Analytics Explained draws extensively from case studies and interviews with experts in order to discuss emerging applications of the new field of learning analytics. Educational institutions increasingly collect data on students and their learning experiences, a practice that helps enhance courses, identify learners who require support, and provide a more personalized learning experience. There is, however, a corresponding need for guidance on how to carry out institutional projects, intervene effectively with students, and assess legal and ethical issues. This book provides that guidance while also covering the evolving technical architectures, standards, and products within the field.

Reviews

Learning Analytics Explained is a must-read for senior managers, learning technologists, and all academics interested in how learning is impacted by the volume of information and the new kinds of data produced by digital technologies. Accessibly written, this is a book that speaks to everyone in higher education and addresses what are perhaps the most important current issues. Rooted in international experience and years of solid work at The Open University and with the UK Joint Information Systems Committee, it is well-informed and comprehensive. It is a book to read immediately and then to go back to later as a unique source of reference.

— Chris Jones, Professor of Research in Educational Technology, Liverpool John Moores University, author of Networked Learning

The analysis of digital data is changing the way we think about education. Niall Sclater, who brings years of practical expertise into this field, has written the first comprehensive account of learning analytics and its effects on education. He evaluates technical advances and claims to efficacy with a critical eye, and foregrounds ethical considerations to produce a considered introduction to the field. This book is essential reading for anyone who needs to know about the ways in which digital data are shaking the traditional idea of the classroom.

—Martin Hall, Emeritus Professor, University of Cape Town, and Advisor to Jisc

Table of Contents

Preface

Acknowledgements

Introduction

Abbreviations

Background

1: The evolution of a new field

2: Expert motivations

Applications

3: Early alert and student success

4: Course recommendation

5: Adaptive learning

6: Curriculum design

7: Expert thoughts on applications

Logistics

8: Data

9: Metrics and Predictive Modelling

10: Visualisation

11: Intervention

12: Student-facing analytics

13: Expert thoughts on logistics

Technologies

14: Architecture

15: Standards

16: Products

17: Expert thoughts on technologies

Deployment

18: Institutional Readiness

19: Project planning

20: Ethics

21: Transparency and consent

22: Privacy and data protection

23: Expert thoughts on deployment

Future directions

24: Emerging techniques

25: Expert visions

Index

About the Author

Niall Sclater is an independent consultant based in Scotland. He is Affiliated Faculty at the Amsterdam Business School of the University of Amsterdam and was formerly Director of Learning and Teaching at The Open University, UK.

Subject Categories

BISAC Subject Codes/Headings:
EDU000000
EDUCATION / General