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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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Appendix A: Workshop Agenda
Pages 79-84

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From page 79...
... The workshop will bring together researchers and practitioners engaged in K–12 data science education from a variety of contexts including formal and informal; designed and emergent; elementary and secondary; and whose efforts include standalone curricula as well as activities integrated within other content areas (e.g., STEM disciplines and the humanities)
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From page 80...
... Moderator: Michelle Hoda Wilkerson, University of California, Berkeley Panelists: • Rob Gould, University of California, Los Angeles • Josh Recio, Dana Center • Tricia Shelton, National Science Teaching Association • Alfred Spector, Massachusetts Institute of Technology (virtual) • Trena Wilkerson, Baylor University; National Council of Teachers of Mathematics 11:20–11:45 AM Networking Break Where and How Is Data Science Happening?
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From page 81...
... Background Readings: A Secret Agent. K–12 Data Science Learning Through the Lens of Agency1 Critical Data Literacy: Creating a More Just World with Data2 Moderator: Nicholas Horton, Amherst College Presenters: • Ryan "Seth" Jones, Middle Tennessee State University • Jo Louie, Education Development Center, Inc.
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From page 82...
... Background Reading: Tools to Support Data Analysis and Data Science in K–12 Education3 Moderator: Tim Erickson, Epistemological Engineering Panelists: • Rolf Biehler, Paderborn University, Germany (virtual) • Chad Dorsey, Concord Consortium • Randy Kochevar, Education Development Center, Inc.
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From page 83...
... Topics will include student learning progressions, opportunities for different school subjects to impart data science topics, and the wraparound resources needed for implementation. Background Reading: Previewing the National Landscape of K–12 Data Science Implementation4 Moderator: Zarek Drozda, Director, Data Science 4 Everyone, University of Chicago Panelists: • Suyen Machado, University of California, Los Angeles • Stephanie Melville, San Diego Unified School District • Paul Strode, Fairview High School • Katie Headrick Taylor, University of Washington 11:15–11:30 AM Break How Is Data Science Integrated in Content Areas?
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From page 84...
... • Gemma Mojica, North Carolina State University • Leticia Perez, WestEd • Joshua Rosenberg, University of Tennessee, Knoxville 2:30–3:00 PM Townhall 3:00–3:15 PM Funder Reflection Nancy Lue, Valhalla Foundation Joined by: • Ulrich Boser, Schmidt Futures • Lark Park, California Education Learning Lab (virtual) 3:15–3:30 PM Final Reflections from Planning Committee Nicholas Horton (co-chair)
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Key Terms

  • science education
  • student learning
  • hoda wilkerson
  • nicholas horton
  • michelle hoda

  • amherst college
  • critical data
  • science learning
  • education development
  • education learning

  • stanford graduate
  • camillia matuk
  • diego unified
  • data literacy
  • california education

  • integrating data
  • including formal
  • stephanie casey
  • tennessee state
  • page following

  • science integrated
  • tricia shelton
  • include standalone
  • eastern michigan
  • efforts include

  • include student
  • randy kochevar
  • angela calabrese
  • unified school
  • katie headrick


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