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.
Inhaltsverzeichnis
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
