Situating Data Science: Exploring How Relationships to Data Shape Learning

ISBN-13: 9780367760717 / Angielski / Twarda / 2022 / 188 str.

Michelle Hoda Wilkerson; Joseph L. Polman

Opis

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.

Spis treści

1. Introduction: Situating Data Science—Exploring How Relationships to Data Shape Learning  2. At Home with Data: Family Engagements with Data Involved in Type 1 Diabetes Management  3. Examining Spontaneous Perspective Taking and Fluid Self-to-Data Relationships in Informal Open-Ended Data Exploration  4. Learning at the Intersection of Self and Society: The Family Geobiography as a Context for Data Science Education  5. Authoring Data Stories in a Media Makerspace: Adolescents Developing Critical Data Literacies  6. From Data Collectors to Data Producers: Shifting Students’ Relationship to Data, Lisa Hardy  7. Scripts and Counterscripts in Community-Based Data Science: Participatory Digital Mapping and the Pursuit of a Third Space  8. Learning to Reason with Data: How Did We Get Here and What Do We Know?  9. Educating Data Scientists and Data Literate Citizens for a New Generation of Data