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Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2022
ISBN 10: 0367760711 ISBN 13: 9780367760717
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Añadir al carritoHardcover. Condición: 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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Idioma: Inglés
Publicado por Taylor and Francis Ltd, GB, 2022
ISBN 10: 0367760711 ISBN 13: 9780367760717
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Añadir al carritoHardback. Condición: 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.
Idioma: Inglés
Publicado por Taylor and Francis Ltd, GB, 2022
ISBN 10: 0367760711 ISBN 13: 9780367760717
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Añadir al carritoHardback. Condición: 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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Añadir al carritoCondición: 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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Publicado por Taylor and Francis Ltd, GB, 2022
ISBN 10: 0367760711 ISBN 13: 9780367760717
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Añadir al carritoHardback. Condición: 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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Añadir al carritoHardcover. Condición: Brand New. 194 pages. 9.00x6.00x0.67 inches. In Stock.
Idioma: Inglés
Publicado por Taylor and Francis Ltd, GB, 2022
ISBN 10: 0367760711 ISBN 13: 9780367760717
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Añadir al carritoHardback. Condición: 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.
Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2022
ISBN 10: 0367760711 ISBN 13: 9780367760717
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Añadir al carritoHardcover. Condición: 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.
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Añadir al carritoBuch. Condición: 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.
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Añadir al carritoHardcover. Condición: Brand New. 194 pages. 9.00x6.00x0.67 inches. In Stock. This item is printed on demand.
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Añadir al carritoBuch. Condición: 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.
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Añadir al carritoBuch. Condición: 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.