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Michelle Hoda Wilkerson
I study how young people learn to work with the texts of scientific computing: things like data visualizations or computer simulations.
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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. […]
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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.
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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 (concluded)|
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Humanistic Stance in K-12 Data Science Ed
Lee, V., Wilkerson, M. H., & Lanouette, K. (2021). A call for a humanistic stance toward K-12 data science education. Educational Researcher, 50(9), 664-672. doi: 10.3102/0013189X211048810
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