The Handbook of Learning Analytics
Editors: Charles Lang, George Siemens, Alyssa Wise, Dragan Gašević
The Handbook of Learning Analytics is designed to meet the needs of a new and growing field. It aims to balance rigor, quality, open access and breadth of appeal and was devised to be an introduction to the current state of research. The Handbook is a snapshot of the field in 2017 and features a range of prominent authors from the learning analytics and educational data mining research communities. The chapters have been peer reviewed by committed members of these fields and are being published with the endorsement of both the Society for Learning Analytics Research and the International Society for Educational Data Mining. We hope you will find the Handbook of Learning Analytics a useful and informative resource.
About this book
President, Society for Learning Analytics Research
The future of learning analytics is bright. Educational institutions have already seen the many promising opportunities that it provides for advancing our understanding of different learning processes and enhancing them in a variety of settings. The Handbook of Learning Analytics provides a much needed entry point to this growing area and I am sure this publication will help sustain the already considerable momentum the field has generated.
President, International Educational Data Mining Society
Table of contents
Techniques & Approaches
Institutional Strategies & Systems Perspectives