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Situating Data Science (47 results)
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Condition: As New. Unread book in perfect condition.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Situating Data Science : Exploring How Relationships to Data Shape Learning
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Situating Data Science: Exploring How Relationships to Data Shape Learning
Language: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367760746 ISBN 13: 9780367760748
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Situating Data Science
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Situating Data Science : Exploring How Relationships to Data Shape Learning
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Situating Data Science: Exploring How Relationships to Data Shape Learning
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Add to basketPaperback. Condition: Brand New. 198 pages. 9.00x6.00x0.45 inches. In Stock.
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Taschenbuch. Condition: Neu. Situating Data Science | Exploring How Relationships to Data Shape Learning | Michelle Hoda Wilkerson (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | Routledge | EAN 9780367760748 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu.
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Situating Data Science : Exploring How Relationships to Data Shape Learning
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Situating Data Science
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Add to basketHRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Situating Data Science: Exploring How Relationships to Data Shape Learning
Language: English
Published by Routledge 2022-04-14, 2022
ISBN 10: 0367760711 ISBN 13: 9780367760717
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Situating Data Science : Exploring How Relationships to Data Shape Learning
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Situating Data Science
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Situating Data Science: Exploring How Relationships to Data Shape Learning
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
Condition: New. 2022. 1st Edition. hardcover. . . . . .
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Situating Data Science (Hardcover)
Language: English
Published by Taylor & Francis Ltd, London, 2022
ISBN 10: 0367760711 ISBN 13: 9780367760717
Hardcover. Condition: new. Hardcover. The emerging field of Data Science has had a large impact on science and society. This book explores how one distinguishing feature of Data Science its focus on data collected from social and environmental contexts within which learners often find themselves deeply embedded suggests serious implications for learning and education.Drawing from theories of learning and identity development in the learning sciences, this volume investigates the impacts of these complex relationships on how learners think about, use, and share data, including their understandings of data in light of history, race, geography, and politics. More than just using real world examples to motivate students to work with data, this book demonstrates how learners relationships to data shape how they approach those data with agency, as part of their social and cultural lives. Together, the contributions offer a vision of how the learning sciences can contribute to a more expansive, socially aware, and transformative Data Science Education.The chapters in this book were originally published as a special issue of the Journal of the Learning Sciences. This book explores how one distinguishing feature of Data Science its focus on data collected from social and environmental contexts within which learners often find themselves deeply embedded suggests serious implications for learning and education. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Situating Data Science
Language: English
Published by Taylor and Francis Ltd, GB, 2022
ISBN 10: 0367760711 ISBN 13: 9780367760717
Hardback. Condition: New. The emerging field of Data Science has had a large impact on science and society. This book explores how one distinguishing feature of Data Science - its focus on data collected from social and environmental contexts within which learners often find themselves deeply embedded - suggests serious implications for learning and education.Drawing from theories of learning and identity development in the learning sciences, this volume investigates the impacts of these complex relationships on how learners think about, use, and share data, including their understandings of data in light of history, race, geography, and politics. More than just using 'real world examples' to motivate students to work with data, this book demonstrates how learners' relationships to data shape how they approach those data with agency, as part of their social and cultural lives. Together, the contributions offer a vision of how the learning sciences can contribute to a more expansive, socially aware, and transformative Data Science Education.The chapters in this book were originally published as a special issue of the Journal of the Learning Sciences.
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Condition: New.
