1st Edition

Improving Equity in Data Science Re-Imagining the Teaching and Learning of Data in K-16 Classrooms

206 Pages 36 B/W Illustrations

by Routledge

206 Pages 36 B/W Illustrations

by Routledge

206 Pages 36 B/W Illustrations

by Routledge

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Description

Improving Equity in Data Science offers a comprehensive look at the ways in which data science can be conceptualized and engaged more equitably within the K-16 classroom setting, moving beyond merely broadening participation in educational opportunities. This book makes the case for field wide definitions, literacies and practices for data science teaching and learning that can be commonly... Read more

1. Overview 2. Perspectives on Research and Practice In and Around Cultural Relevance for Pre-College Data Science in Computing 3. Shrinking Lands and Growing Perspectives: Affordances of Data Science Literacy During a Culturally-Responsive Maker Project 4. Design of Tools and Learning Environments for Equitable Computer Science + Data Science Education 5. The Case For Community Centered Data Science 6. Humanistic Pre-Service Data Science Teacher Education Across the Disciplines 7. Everyday Equitable Data Literacy is Best in Social Studies: STEM Can’t Do What We Can Do 8. The Utility of Designing Data Science Education Programs from a Framework of Identity 9. Building the Infrastructure for Quantitative Criticalism in Research Methods Courses 10. Closing Thoughts and Future Directions