Tag: Michelle

  • CUNY/CITE Summer Camp

    We will be running a teacher educator Summer Camp as part of the City University of New York’s Computing Integrated Teacher Education program! Our summer camp is called “Writing Data Stories: Connecting Student Experience and Data,” and will be introducing the frameworks and materials we’ve developed as part of the Writing Data Stories project in […]


  • DS+LS Workshop at ISLS 2023

    Michelle is part of the organizing team for a data science focused pre-conference workshop to be held Jun 10 at ICLS 2023. The Learning Sciences in K-12 Data Science Education Pre-ISLS Workshop (LS + DS) Call for Participation: Data Science Education is fast becoming a topic of interest, but like many “hot topics,” a rush-to-market […]


  • NASEM K12 Data Science Workshop: Proceedings & Webinar

    The National Academies of Science, Engineering, and Mathematics has published the Proceedings of the Foundations of K-12 Data Science Education Workshop. The workshop was held in Washington, DC and online Sept 13-14, 2022. To announce the release, Co-Chairs of the Workshop Organizing Committee Michelle Hoda Wilkerson and Nicholas Horton hosted a webinar March 17 sharing […]


  • CoRE Work At ICLS 2023

    Members of the CoRE team will be presenting multiple papers at this year’s International Conference of the Learning Sciences. This year’s presentations also demonstrate the span of our collaborations, including colleagues from NYU, Columbia Teacher’s College, MIT, and the University of Buffalo: Vogelstein, L., McBride, C., Ma, J., Wilkerson, M. H., Vogel, S., Barrales, W., […]


  • George Lucas Educational Foundation logo, featuring two additional blocks: Edutopia and Lucas Educational Research

    Computing as Multiliteracies (ECLES)

    The “Computing as Multiliteracies Partnership” (CoMP) explores equity within the context of computing across the K-12 curriculum. Our projects, Writing Data Stories (WDS) and Participating in Literacies and Computer Science (PiLa-CS) come together to examine: What are general approaches to equitable, literacy-based computing education?

    Funded by: Lucas Education Research


  • Exploring Children’s Geographies

    Reigh, E., Escudé, M., Bakal, M., Rivero, E., Wei, X., Roberto, C., Hernandez, D., Yada, A., Gutierrez, K. G., & Wilkerson, M. H. (2022). Mapping racespace: Data stories as a tool for environmental and spatial justice. In BSOPS #48: “Learning Within Socio-Political Landscapes: (Re)imagining Children’s Geographies”, 79-95. doi: https://doi.org/10.58295/2375-3668.1452


  • Writing Data Stories

    This project integrates computational data analysis into the middle school science curriculum. Students combine personal experience, interviews, and journalistic investigations of scientific phenomena with data investigations to create multimodal “data stories” that both tell stories about data and how it was collected and analyzed, as well as with data about socio-scientific issues.

    Funded by: National Science Foundation IIS-1900606


  • Michelle Hoda Wilkerson

    I study how young people learn to work with the texts of scientific computing: things like data visualizations or computer simulations.


  • NASEM Workshop on K-12 Data Science

    Michelle was a Co-Chair, with Dr. Nick Horton of Amherst College, of the National Academies of Science, Engineering, and Medicine’s Workshop on the Foundations of K-12 Data Science held in Washington, D. C. and online Sept 13-14. The convening sought to share the state of the art from research and practice in Data Science Education. […]


  • Learning from “Interpretations of Innovation”

    Wilkerson, M. H., Shareff, R. L., & Laina, V. (2022). Learning from “interpretations of innovation” in the codesign of digital tools. In M-C. Shanahan, B. Kim, M. A. Takeuchi, K. Koh, A. P. Preciado-Babb, & P. Sengupta (Eds.), The Learning Sciences in Conversation: Theories, Methodologies, and Boundary Spaces. Routledge.