ISBN: 9780262547529 - the left hand of data: designing education data for justice (7 risultati)

- Brossura
Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.World of Books (was SecondSale)
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Buono
EUR 27,25
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibile
Paperback. Condizione: Good. A speculative framework that imagines how we can use education data to promote play, creativity, and social justice over normativity and conformity. Educational analytics tend toward aggregation, asking what a "normative" learner does. In The Left Hand of Data, educational researchers Matthew Berland and Antero Garcia start from a different assumption-that outliers are, and must be treated as, valued individuals. Berland and Garcia argue that the aim of analytics should not be about enforcing and entrenching norms but about using data science to break new ground and enable play and creativity. From this speculative vantage point, they ask how we can go about living alongside data in a better way, in a more just way, while also building on the existing technologies and our knowledge of the present. The Left Hand of Data explores the many ways in which we use data to shape the possible futures of young people-in schools, in informal learning environments, in colleges, in libraries, and with educational games. It considers the processes by which students are sorted, labeled, categorized, and intervened upon using the bevy of data extracted and collected from individuals and groups, anonymously or identifiably. When, how, and with what biases are these data collected and utilized? What decisions must educational researchers make around data in an era of high-stakes assessment, surveillance, and rising inequities tied to race, class, gender, and other intersectional factors? How are these complex considerations around data changing in the rapidly evolving world of machine learning, AI, and emerging fields of educational data science? The surprising answers the authors discover in their research make clear that we do not need to wait for a hazy tomorrow to do better today. …

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Da: Books From California, Simi Valley, CA, U.S.A.Books From California
Contatta il venditoreVenditore con 4 stelleCondizione: Usato - Molto buono
EUR 22,66
EUR 4,47 spedizioneSpedito in U.S.A.Quantità: 6 disponibili
paperback. Condizione: Very Good.

- Brossura
Da: Books From California, Simi Valley, CA, U.S.A.Books From California
Contatta il venditoreVenditore con 4 stelleCondizione: Usato - Ottimo
EUR 23,33
EUR 4,47 spedizioneSpedito in U.S.A.Quantità: 1 disponibile
paperback. Condizione: Fine.

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Da: Michener & Rutledge Booksellers, Inc., Baldwin City, KS, U.S.A.Michener & Rutledge Booksellers, Inc.
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 23,08
EUR 5,38 spedizioneSpedito in U.S.A.Quantità: 1 disponibile
Paperback. Condizione: As New. Like new; text clean and tight; 8vo 8" - 9" tall; 212 pages.

- Brossura
Da: World of Books Inc, Montgomery, IL, U.S.A.World of Books Inc
Contatta il venditoreVenditore con 4 stelleCondizione: Usato - Buono
EUR 29,10
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibile
Paperback. Condizione: Good. A speculative framework that imagines how we can use education data to promote play, creativity, and social justice over normativity and conformity. Educational analytics tend toward aggregation, asking what a "normative" learner does. In The Left Hand of Data, educational researchers Matthew Berland and Antero Garcia start from a different assumption-that outliers are, and must be treated as, valued individuals. Berland and Garcia argue that the aim of analytics should not be about enforcing and entrenching norms but about using data science to break new ground and enable play and creativity. From this speculative vantage point, they ask how we can go about living alongside data in a better way, in a more just way, while also building on the existing technologies and our knowledge of the present. The Left Hand of Data explores the many ways in which we use data to shape the possible futures of young people-in schools, in informal learning environments, in colleges, in libraries, and with educational games. It considers the processes by which students are sorted, labeled, categorized, and intervened upon using the bevy of data extracted and collected from individuals and groups, anonymously or identifiably. When, how, and with what biases are these data collected and utilized? What decisions must educational researchers make around data in an era of high-stakes assessment, surveillance, and rising inequities tied to race, class, gender, and other intersectional factors? How are these complex considerations around data changing in the rapidly evolving world of machine learning, AI, and emerging fields of educational data science? The surprising answers the authors discover in their research make clear that we do not need to wait for a hazy tomorrow to do better today. …

- Brossura
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 65,81
EUR 12,00 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibile
Paperback. Condizione: Brand New. 208 pages. 9.00x6.00x0.53 inches. In Stock.

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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 58,27
EUR 78,00 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Paperback. Condizione: New.