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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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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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Erin wins Best Student Paper Award!
Erin Foley was awarded a Best Student Paper award by the Special Interest Group in Learning Sciences and Advanced Technologies for Learning at AERA 2022! Foley, E. & Wilkerson, M. H. (2022). Accessible DataLIT: Discovering the role teachers of the visually impaired play in data literacy development. Paper presented at the 2022 Annual Meeting of […]
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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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DataBytes in Bite-Sized Lesson Plan Competition
Our DataByte What is Healthy: Making Sense of Graphs and Data Reported in Media received an Honorable Mention in the Data Science 4 Everyone’s first annual Lesson Plan Competition! The What is Healthy? unit builds on our DataBytes discussion structure, which asks students to interpret graphs and data from media sources using not only in […]
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