Chapter 9

Handbook of Learning Analytics
First Edition

Discourse Analytics

Carolyn Penstein Rosé


Abstract

This chapter introduces the area of discourse analytics (DA). Discourse analytics has its impact in multiple areas, including offering analytic lenses to support research, enabling formative and summative assessment, enabling of dynamic and context sensitive triggering of interventions to improve the effectiveness of learning activities, and provision of reflection tools such as reports and feedback after learning activities in support of both learning and instruction. The purpose of this chapter is to encourage both an appropriate level of hope and an appropriate level of skepticism for what is possible while also exposing the reader to the breadth of expertise needed to do meaningful work in this area. It is not the goal to impart the needed expertise. Instead, the goal is for the reader to find his or her place within this scope to discern what kinds of collaborators to seek in order to form a team that encompasses sufficient breadth. We begin with a definition of the field, casting a broad net both theoretically and methodologically, explore both representational and algorithmic dimensions, and conclude with suggestions for next steps for readers who are interested in delving deeper.

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About this Chapter

Title
Discourse Analytics

Book Title
Handbook of Learning Analytics

Pages
pp. 105-114

Copyright
2017

DOI
10.18608/hla17.009

ISBN
978-0-9952408-0-3

Publisher
Society for Learning Analytics Research

Authors
Carolyn Penstein Rosé

Author Affiliations
Language Technologies Institute and Human–Computer Interaction Institute, Carnegie Mellon University, USA

Editors
Charles Lang1
George Siemens2
Alyssa Wise3
Dragan Gašević4

Editor Affiliations
1. Teachers College, Columbia University, USA
2. LINK Research Lab, University of Texas at Arlington, USA
3. Learning Analytics Research Network, New York University, USA
4. Schools of Education and Informatics, University of Edinburgh, UK

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