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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 49-56

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
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From page 49...
... She asked panelists how these types of data science activities could be scaled for implementation into classrooms. Bhargava began by noting that the Data Culture Project14 website has a suite of 12 activities with curricular guides for teachers; the activities are small and easy to weave into the work of the classroom.
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From page 51...
... moderated the session by posing questions to the panelists, followed by a Q&A discussion with workshop participants. Unplugged Data Science Learning When we think about tools for data science education, said Erickson, we usually think about computational tools and computer programs.
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From page 52...
... to digital operations, in particular in the software TinkerPlots.1 One use for these cards is to introduce students to decision trees as a machine learning method; this topic is part of the required curriculum in fifth and sixth grade in some states in Germany. Biehler described how the cards are used.
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From page 53...
... V Lee said that unplugged data science learning can be done even without specialized materials like data cards.
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From page 54...
... Common Data Analysis Tools Erickson asked panelists to comment on their use of common data analysis tools in the classroom, and the capabilities and challenges of each. R and RStudio Programming is a big part of how we engage with data science right now, said V
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From page 55...
... The other important component of early data science education, he said, is an "intentional little bit of delight" that entices students to start exploring, to find insights, and to realize that there are multiple insights to be found in data. Rubin said that progression in data science tools is a research area that is understudied; important questions that need to be answered include the following: • What does the progression of tools look like?
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From page 56...
... Lee. It is important to consider how data science education is being connected to the specific technologies that students already are interested in -- for example, using TikTok videos as data.
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Key Terms

  • data science
  • science education
  • jupyter notebooks
  • professional development
  • machine learning

  • computational thinking
  • asked panelists
  • data visualization
  • data exploration
  • science data

  • science activities
  • middle school
  • school district
  • data visualizations
  • data cards

  • decision trees
  • earth science
  • science programs
  • science learning
  • erickson asked

  • allows students
  • analysis tools
  • unplugged data
  • ence education
  • help students

  • workshop participant
  • data expression
  • science tools
  • session explored
  • understand data


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