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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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    A Paperback by Victor R. Lee

    £42.99

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    Order before 4pm today for delivery by Sat 24 Oct 2026.

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      Book details

      Publisher Taylor & Francis
      Published 2/24/2025
      ISBN-13 9781032472546
      978-1032472546
      ISBN-10 1032472545
      Also in:
      Educational administration and organization

      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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