Advancing Data Science Education in K-12
eBook - ePub

Advancing Data Science Education in K-12

Foundations, Research, and Innovations

  1. 160 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Advancing Data Science Education in K-12

Foundations, Research, and Innovations

About this book

Advancing Data Science Education in K-12 offers a highly accessible, research-based treatment of the foundations of data science education and its increasingly vital role in K-12 instructional content.

As federal education initiatives and developers of technology-enriched curricula attempt to incorporate the study of data science—the generation, capture, and computational analysis of data at large scale—into schooling, a new slate of skills, literacies, and approaches is needed to ensure an informed, effective, and unproblematic deployment for young learners. Friendly to novices and experts alike, this book provides an authoritative synthesis of the most important research and theory behind data science education, its implementation into K-12 curricula, and clarity into the distinctions between data literacy and data science. Learning with and about data hold equal and interdependent importance across these chapters, conveying the variety of issues, situations, and decision-making integral to a well-rounded, critically minded perspective on data science education.

Students and faculty in teaching, leadership, curriculum development, and educational technology programs will come away with essential insights into the breadth of our current and future engagements with data; the real-world opportunities and challenges data holds when taught in conjunction with other subject matter in formal schooling; and the nature of data as a human and societal construct that demands new competencies of today's learners.

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Yes, you can access Advancing Data Science Education in K-12 by Victor R. Lee in PDF and/or ePUB format, as well as other popular books in Education & Education General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Routledge
Year
2025
eBook ISBN
9781040306352
Edition
0

Table of contents

  1. Cover
  2. Endorsement Page
  3. Half Title
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. Acknowledgments
  8. 1 Data Everywhere
  9. 2 Data Literacy, Data Science, and Terms that Trip Us Up
  10. 3 Humans Thinking about Data
  11. 4 Teaching Data Science in Schools
  12. 5 Learning Data Science Outside of Schools
  13. 6 Expansive Views for Data Science Education
  14. 7 Onward—A Data Science Education Research Ecosystem
  15. Index