ABSTRACT

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.

chapter |5 pages

Introduction

part I|27 pages

Background

chapter 1|13 pages

The Evolution of a New Field

chapter 2|13 pages

Expert Motivations

part II|44 pages

Applications

chapter 3|10 pages

Early Alert and Student Success

chapter 4|7 pages

Course Recommendation

chapter 5|10 pages

Adaptive Learning

chapter 6|13 pages

Curriculum Design

chapter 7|3 pages

Expert Thoughts on Applications

part III|62 pages

Logistics

chapter 8|10 pages

Data

chapter 9|11 pages

Metrics and Predictive Modelling

chapter 10|14 pages

Visualisation

chapter 11|12 pages

Intervention

chapter 12|11 pages

Student-Facing Analytics

chapter 13|3 pages

Expert Thoughts on Logistics

part IV|35 pages

Technologies

chapter 14|10 pages

Architecture

chapter 15|10 pages

Standards

chapter 16|10 pages

Products

chapter 17|4 pages

Expert Thoughts on Technologies

part V|76 pages

Deployment

chapter 18|14 pages

Institutional Readiness

chapter 19|14 pages

Project Planning

chapter 20|14 pages

Ethics

chapter 21|12 pages

Transparency and Consent

chapter 22|14 pages

Privacy and Data Protection

chapter 23|7 pages

Expert Thoughts on Deployment

part VI|25 pages

Future Directions

chapter 24|17 pages

Emerging Techniques

chapter 25|7 pages

Expert Visions