Composition and Big Data (eBook)

Amanda Licastro, Benjamin M. Miller (Herausgeber)

eBook Download: EPUB

2021
448 Seiten
University of Pittsburgh Press (Verlag)
978-0-8229-8819-9 (ISBN)

Infos

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. <i>Composition and Big Data</i> 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.

Autor

Amanda Licastro (Editor)
Amanda Licastro is assistant professor of digital rhetoric at Stevenson University in Maryland. Her research explores the intersection of technology and writing, including book history, dystopian literature, and digital humanities.

Benjamin M. Miller (Editor)
Benjamin Miller is assistant professor of composition in the English Department at the University of Pittsburgh, focusing on digital research and pedagogy. He is the author of the poetry collection Without Compass.

Produkt-Details

• Erscheint lt. Verlag: 2.11.2021
• Reihe/Serie: Composition, Literacy, and Culture
• Zusatzinfo: 41 figures42 tables
• Verlagsort: PIttsburgh
• Sprache: englisch
• Themenwelt: Schulbuch / Wörterbuch ► Wörterbuch / Fremdsprachen
• Themenwelt: Geisteswissenschaften ► Sprach- / Literaturwissenschaft ► Sprachwissenschaft
• Themenwelt: Informatik ► Datenbanken ► Data Warehouse / Data Mining
• Themenwelt: Naturwissenschaften
• Schlagworte: analyzing datasets in the humanities • citation networks • Composition Studies • Corpus Linguistics • data and language • database design in academic • digital humanities • Linguistic Data • metadata studies • quantitative autoethnography • rhetoric and data • scholarly database
• ISBN-10: 0-8229-8819-4 / 0822988194
• ISBN-13: 978-0-8229-8819-9 / 9780822988199