Advancing Data Science Education in K-12

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A01=Victor R. Lee
Author_Victor R. Lee
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computational thinking
Curriculum Studies
Data Science Education
data use
data-driven decision making
educational technology integration
eLearning
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eq_computing
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eq_nobargain
eq_non-fiction
eq_society-politics
K-12
Learning about data
Learning from data
quantitative literacy
statistical reasoning
STEM pedagogy
Teacher Education
teacher educators
teaching data analysis skills

Product details

  • ISBN 9781032470290
  • Weight: 380g
  • Dimensions: 152 x 229mm
  • Publication Date: 24 Feb 2025
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

Victor R. Lee is Associate Professor in the Graduate School of Education at Stanford University, USA. His previous books are Reconceptualizing Libraries: Perspectives from the Information and Learning Sciences and Learning Technologies and the Body: Integration and Implementation in Formal and Informal Learning Environments. He received his PhD in Learning Sciences from Northwestern University and holds bachelor’s degrees in Cognitive Science and Mathematics from the University of California San Diego.

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