Composition and Big Data
  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

About this book

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 and Big Data 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

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Contents
  5. Acknowledgments
  6. Introduction: Reasons to Engage Composition through Big Data
  7. Section One: Data in Students’ Hands
  8. Section Two: Data Across Contexts
  9. Section Three: Data and the Discipline
  10. Section Four: Dealing with Data’s Complications
  11. Contributors
  12. Index