Chapter 13

Handbook of Learning Analytics
First Edition

Learning Analytics Implementation Design

Alyssa Friend Wise & Jovita Vytasek


Abstract

This chapter addresses the design of learning analytics implementations: the purposeful shaping of the human processes involved in taking up and using analytic tools, data, and reports as part of an educational endeavor. This is a distinct but equally important set of design choices from those made in the creation of the learning analytics systems themselves. The first part of the chapter reviews key challenges of interpretation and action in analytics use. The three principles of Coordination, Comparison, and Customization are then presented as guides for thinking about the design of learning analytics implementations. The remainder of the chapter reviews the existing research and theory base of learning analytics implementation design for instructors (related to the practices of learning design and orchestration) and students (as part of a reflective and self-regulated learning cycle). Implications for learning analytics designers and researchers and areas requiring further research are highlighted.

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About this Chapter

Title
Learning Analytics Implementation Design

Book Title
Handbook of Learning Analytics

Pages
pp. 151-160

Copyright
2017

DOI
10.18608/hla17.013

ISBN
978-0-9952408-0-3

Publisher
Society for Learning Analytics Research

Authors
Alyssa Friend Wise1
Jovita Vytasek2

Author Affiliations
1. Learning Analytics Research Network, New York University, USA
2. Faculty of Education, Simon Fraser University, Canada

Editors
Charles Lang3
George Siemens4
Alyssa Wise1
Dragan Gašević5

Editor Affiliations
3. Teachers College, Columbia University, USA
4. LINK Research Lab, University of Texas at Arlington, USA
5. Schools of Education and Informatics, University of Edinburgh, UK

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