Situating Data Science - Exploring How Relationships to Data Shape Learning (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.

General

Imprint:	Routledge
Country of origin:	United Kingdom
Release date:	April 2022
First published:	2022
Editors:	Michelle Hoda Wilkerson • Joseph L Polman
Dimensions:	229 x 152mm (L x W)
Format:	Hardcover
Pages:	188
ISBN-13:	978-0-367-76071-7
Categories:	Books > Social sciences > Education > Philosophy of education Books > Social sciences > Education > Teaching of a specific subject Books > Computing & IT > General theory of computing > General Books > Computing & IT > Applications of computing > Databases > General Promotions
LSN:	0-367-76071-1
Barcode:	9780367760717

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