Situating Data Science (Hardcover)

Michelle Hoda Wilkerson

ISBN 10: 0367760711 / ISBN 13: 9780367760717

Published by Taylor & Francis Ltd, London, 2022

About this Item

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.

Seller Inventory # 9780367760717

Bibliographic Details

• Title: Situating Data Science (Hardcover)
• Publisher: Taylor & Francis Ltd, London
• Publication Date: 2022
• Language: English
• ISBN 10: 0367760711
• ISBN 13: 9780367760717
• Binding: Hardcover
• Condition: new

About this title

Synopsis

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.

About the Author

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 scientific computing through engaging with and authoring their own simulations, data visualizations, and other computational artifacts.

Joseph L. Polman is Professor of Learning Sciences and Human Development, as well as Associate Dear for Research in the School of Education at University of Colorado, Boulder, USA. He designs and studies project-based learning environments for youth in schools and community programs, with particular focus on civic engagement and identity.