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Book Synopsis

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 scienceâthe generation, capture, and computational analysis of data at large scaleâinto 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 deci

Advancing Data Science Education in K12

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    £40.84

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    Order before 4pm tomorrow for delivery by Wed 10 Jun 2026.

    A Paperback by Victor R. Lee

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      View other formats and editions of Advancing Data Science Education in K12 by Victor R. Lee

      Publisher: Taylor & Francis
      Publication Date: 2/24/2025
      ISBN13: 9781032472546, 978-1032472546
      ISBN10: 1032472545

      Description

      Book Synopsis

      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 scienceâthe generation, capture, and computational analysis of data at large scaleâinto 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 deci

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