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: Paperback / softback
Length: 188 pages
Publication date: 29 January 2024
Publisher: Taylor & Francis Ltd

The impact of Data Science on science and society has been significant, and this book delves into how one of its distinguishing features, its focus on data collected from social and environmental contexts, holds profound implications for learning and education. By drawing from theories of learning and identity development in the learning sciences, this volume explores the profound effects of these complex relationships on how learners perceive, utilize, and share data, including their interpretations of data in the context of history, race, geography, and politics.

Rather than merely using real-world examples to motivate students to engage 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 compiled in this book collectively envision a future where the learning sciences can play a vital role in shaping a more expansive, socially conscious, 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 in understanding and advancing the education of data science.

Weight: 453g
Dimension: 229 x 152 (mm)
ISBN-13: 9780367760748