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Editore: Hybrid Pedagogy Inc.
Da: Academic Book Solutions, Medford, NY, U.S.A.
Paperback. Condizione: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.
Lingua: Inglese
Editore: University of Pittsburgh Press, 2021
ISBN 10: 0822946742 ISBN 13: 9780822946748
Da: Michener & Rutledge Booksellers, Inc., Baldwin City, KS, U.S.A.
Hardcover. Condizione: As New. Condizione sovraccoperta: As New. Text clean and tight; Composition, Literacy, And Culture; 8vo 8" - 9" tall; 328 pages.
Lingua: Inglese
Editore: University of Pittsburgh Press, 2021
ISBN 10: 0822946742 ISBN 13: 9780822946748
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 67,28
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Lingua: Inglese
Editore: University of Pittsburgh Press, 2021
ISBN 10: 0822946742 ISBN 13: 9780822946748
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 69,57
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: University of Pittsburgh Press, Pittsburgh PA, 2021
ISBN 10: 0822946742 ISBN 13: 9780822946748
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: 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.
Lingua: Inglese
Editore: University of Pittsburgh Press, 2021
ISBN 10: 0822946742 ISBN 13: 9780822946748
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloHardcover. Condizione: Brand New. 272 pages. 9.00x6.00x1.40 inches. In Stock.
Lingua: Inglese
Editore: University of Pittsburgh Press, 2021
ISBN 10: 0822946742 ISBN 13: 9780822946748
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 98,07
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Da: moluna, Greven, Germania
EUR 67,86
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Aggiungi al carrelloGebunden. Condizione: 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.
Lingua: Inglese
Editore: University Of Pittsburgh Press Nov 2021, 2021
ISBN 10: 0822946742 ISBN 13: 9780822946748
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 91,08
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Aggiungi al carrelloBuch. Condizione: 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.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 24,12
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.