In a data-driven world, anything can be data. As the techniques and scale of data analysis advance, the need for a response from rhetoric and composition grows ever more pronounced. It is increasingly possible to examine thousands of documents and peer-review comments, labor-hours, and citation networks in composition courses and beyond. Composition and Big Data brings together a range of scholars, teachers, and administrators already working with big-data methods and datasets to kickstart a collective reckoning with the role that algorithmic and computational approaches can, or should, play in research and teaching in the field. Their work takes place in various contexts, including programmatic assessment, first-year pedagogy, stylistics, and learning transfer across the curriculum. From ethical reflections to database design, from corpus linguistics to quantitative autoethnography, these chapters implement and interpret the drive toward data in diverse ways.

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Yes, you can access Composition, Literacy, and Culture by Amanda Licastro, Benjamin M. Miller, Amanda Licastro,Benjamin Miller,Benjamin M. Miller in PDF and/or ePUB format. We have over one million books available in our catalogue for you to explore.

Information

Publisher

University of Pittsburgh Press

Year

2021

ISBN

9780822988199

Cover Page
Title Page
Copyright Page
Contents
Acknowledgments
Introduction: Reasons to Engage Composition through Big Data
Section One: Data in Students’ Hands
Section Two: Data Across Contexts
Section Three: Data and the Discipline
Section Four: Dealing with Data’s Complications
Contributors
Index