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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., […]
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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|
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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
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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|
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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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Computer Science for Racial Justice (CS4RJ)
The Computer Science for Racial Justice (CS4RJ) project aims to support just and sustainable engagements in CS learning alongside Black, Indigenous, People of Color (BIPOC) communities. It seeks to support historical reauthoring, a version of computational “remixing” that encourages students to engage with the ethical and political dimensions of computing.
Funded by: Google CS-ER|
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Computing+ Reading Group
A standing group of researchers working at the intersection of computing, data, and science education. We curate and synthesize relevant work across literatures and domains, and consider implications for K12 educators and researchers.
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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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