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In den WarenkorbPaperback. Zustand: Brand New. 140 pages. 9.00x6.00x0.36 inches. In Stock.
Sprache: Englisch
Verlag: University of Pittsburgh Press, 2021
ISBN 10: 0822946742 ISBN 13: 9780822946748
Anbieter: Michener & Rutledge Booksellers, Inc., Baldwin City, KS, USA
Hardcover. Zustand: As New. Zustand des Schutzumschlags: As New. Text clean and tight; Composition, Literacy, And Culture; 8vo 8" - 9" tall; 328 pages.
Sprache: Englisch
Verlag: University of Pittsburgh Press, 2021
ISBN 10: 0822946742 ISBN 13: 9780822946748
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: University of Pittsburgh Press, 2021
ISBN 10: 0822946742 ISBN 13: 9780822946748
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: New.
Sprache: Englisch
Verlag: University of Pittsburgh Press, Pittsburgh PA, 2021
ISBN 10: 0822946742 ISBN 13: 9780822946748
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Hardcover. Zustand: new. Hardcover. 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. AUTHORS: Amanda Licastro is the emerging & digital literacy instructional designer at the University of Pennsylvania. Her research explores the intersection of technology and writing, including book history, dystopian literature, and digital humanities, with a focus on multimodal composition and extended reality. 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. This book interprets and implements the drive toward data in diverse ways. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Sprache: Englisch
Verlag: University of Pittsburgh Press, 2021
ISBN 10: 0822946742 ISBN 13: 9780822946748
Anbieter: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irland
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In den WarenkorbZustand: New.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Brand New. 272 pages. 9.00x6.00x1.40 inches. In Stock.
Sprache: Englisch
Verlag: University of Pittsburgh Press, 2021
ISBN 10: 0822946742 ISBN 13: 9780822946748
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Zustand: New.
Anbieter: moluna, Greven, Deutschland
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In den WarenkorbGebunden. Zustand: New. This book interprets and implements the drive toward data in diverse ways.Über den AutorAmanda Licastro is the emerging & digital literacy instructional designer at the University of Pennsylvania. Her research explores.
Sprache: Englisch
Verlag: University Of Pittsburgh Press Nov 2021, 2021
ISBN 10: 0822946742 ISBN 13: 9780822946748
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - 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.