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Foundations of Data Science for Students in Grades K-12 Proceedings of a Workshop (2023) / Chapter Skim
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Pages 1-4

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 1...
... A National Academies of Sciences, Engineering, and Medicine 2018 report, Data Science for Undergraduates, catalyzed conversations around data science education in K–12. If data science is important in undergraduate school, "why aren't we attending to what we're doing in K–12?
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From page 2...
... Critical Data Literacy: Creating a More Just World Through Data3 3. Previewing the National Landscape of K–12 Data Science Implementation4 4.
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From page 3...
... • How can K–12 data science education be designed to specifically reach students who have been traditionally marginalized and/or underrepresented in STEM? Integrating data science into the K–12 system • How can data science be meaningfully integrated with K–12 edu cation, in both STEM and non-STEM classes?
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From page 4...
... This proceedings may contain particular viewpoints attributed to individual participants or groups of participants in the workshop, if BOX 1-2 Workshop Guiding Questions • What does data science education look like? Where is it happening, both in and out of school?
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Key Terms

  • data science
  • science education
  • data literacy
  • critical data
  • science learning

  • science implementation
  • teaching data
  • ence education
  • workshop participant
  • rating data

  • integrating data


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