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.
| ISBN: | 9780822946748 |
| Publication date: | 2nd November 2021 |
| Author: | Amanda Licastro, Benjamin Miller |
| Publisher: | University of Pittsburgh Press |
| Format: | Hardback |
| Pagination: | 328 pages |
| Series: | Pittsburgh Series in Composition, Literacy, and Culture |
| Genres: |
Writing and editing guides |
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.
Composition and Big Data features in the following genres: Writing and editing guides
Composition and Big Data is available in Hardback
Composition and Big Data was written by Amanda Licastro, Benjamin Miller and published by University of Pittsburgh Press
Composition and Big Data has 328 pages
Yes it is part of Pittsburgh Series in Composition, Literacy, and Culture series
£48.95