Improving Equity in Data Science

Re-Imagining the Teaching and Learning of Data in K-16 Classrooms
Herausgeber: Schanzer, Emmanuel; Tofel-Grehl, Colby

• Broschiertes Buch

Produktbeschreibung

This book 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.

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Produktdetails

• Verlag: Taylor & Francis Ltd
• Seitenzahl: 206
• Erscheinungstermin: 3. Juni 2024
• Englisch
• Abmessung: 229mm x 152mm x 11mm
• Gewicht: 310g
• ISBN-13: 9781032428628
• ISBN-10: 1032428627
• Artikelnr.: 70005649

Autorenporträt

Colby Tofel-Grehl is an associate professor of STEM teacher education and learning at Utah State University, USA. Emmanuel Schanzer is a math and CS-Education researcher, and the co-founder and chief curriculum architect at Bootstrap.

Inhaltsangabe

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