Situating Data Science: Exploring How Relationships to Data Shape Learning

The book explores the implications of Data Science's focus on data from social and environmental contexts for learning and education, drawing from theories of learning and identity development. It demonstrates how learners' relationships to data shape how they approach it with agency, as part of their social and cultural lives, and offers a vision of how the learning sciences can contribute to a more expansive, socially aware, and transformative Data Science Education.

Format: Hardback
Length: 188 pages
Publication date: 14 April 2022
Publisher: Taylor & Francis Ltd

The impact of Data Science on science and society has been profound, and this book delves into the implications of its unique focus on data collected from social and environmental contexts, where learners are often deeply immersed. By drawing from theories of learning and identity development in the learning sciences, this volume explores the profound effects of these complex relationships on learners' thinking, use, and sharing of data, including their understandings of data in the context of history, race, geography, and politics.

Rather than simply using real-world examples to motivate students to work with data, this book goes beyond that by demonstrating how learners' relationships with data shape their approach to those data with agency, as an integral part of their social and cultural lives. The contributions gathered in this book offer a visionary perspective on 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, highlighting the importance of this field and the need for further exploration and understanding.

Weight: 490g
Dimension: 229 x 152 (mm)
ISBN-13: 9780367760717