Isbn: 9780367760717 - situating data science: exploring how relationships to data shape learning (28 risultati)

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  • Lingua: Inglese

    Editore: Routledge, 2022

    0367760711 / 9780367760717

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    Editore: Routledge 2022-04-14, 2022

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  • Lingua: Inglese

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  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, London, 2022

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    Hardcover. Condizione: 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.

  • Lingua: Inglese

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    Hardback. Condizione: 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.

  • Lingua: Inglese

    Editore: Routledge, 2022

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    Hardback. Condizione: 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.

  • Lingua: Inglese

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  • Lingua: Inglese

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    Condizione: New. Michelle Hoda Wilkerson is Associate Professor in the Graduate School of Education and Graduate Group in Science and Mathematics Education at the University of California, Berkeley, USA. Her research explores how young people learn scien.

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    Editore: Taylor and Francis Ltd, GB, 2022

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    Hardback. Condizione: 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.

  • Lingua: Inglese

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    Hardcover. Condizione: Brand New. 194 pages. 9.00x6.00x0.67 inches. In Stock.

  • Lingua: Inglese

    Editore: Taylor and Francis Ltd, GB, 2022

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    Hardback. Condizione: 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.

  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, London, 2022

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    Hardcover. Condizione: 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

  • Lingua: Inglese

    Editore: Routledge Apr 2022, 2022

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 200 pp. Englisch.

  • Lingua: Inglese

    Editore: Routledge, 2022

    0367760711 / 9780367760717

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    Hardcover. Condizione: Brand New. 194 pages. 9.00x6.00x0.67 inches. In Stock. This item is printed on demand.

  • Lingua: Inglese

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    Buch. Condizione: Neu. Situating Data Science | Exploring How Relationships to Data Shape Learning | Michelle Hoda Wilkerson (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2022 | Routledge | EAN 9780367760717 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

  • Lingua: Inglese

    Editore: Routledge, 2022

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    Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.