Learning Analytics Explained [Hardcover]

Learning Analytics Explaineddraws 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.

Preface

Acknowledgements

Introduction

Abbreviations

1: The evolution of a new field

2: Expert motivations

3: Early alert and student success

4: Course recommendation

5: Adaptive learning

6: Curriculum design

7: Expert thoughts on applications

8: Data

9: Metrics and Predictive Modelling

10: Visualisation

11: Intervention

12: Student-facing analytics

13: Expert thoughts on logistics

14: Architecture

15: Standards

16: Products

17: Expert thoughts on technologies

18: Institutional Readiness

19: Project planning

20: Ethics

21: Transparency and consent

22: Privacy and data protection

23: Expert thoughts on deployment