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Teachers & Classroom DataViz Discussions
Leading classroom dataviz discussions can be tricky. We interviewed six teachers about DataBytes, a dataviz discussion guide. Though teachers emphasized different aspects of visualizations, certain prompts directed their attention toward common instructional goals.
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Aligning Ideas and Models in Cognition & Instruction
Computational tools hold promise science education, but each tool has a different way of representing information. This paper describes ontological alignment, ways to connect what students know, and how agent-based models represent scientific systems.
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Sci Educ: When Models are “Right but Wrong”
Agent-based modeling can get students thinking about mechanism. But to get students refining their models toward accurate explanations, comparing models with data is just as important.
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Exploring Local Impacts and Global Change w/ Data
A new paper describes one of the units developed as part of the Writing Data Stories project, focused on connecting the local and global effects of climate change through storytelling and data.
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Who creates our computational worlds?
Henrique, B., Roberto, C., & Wilkerson, M. H. (2022). Who creates our computational worlds? [Review of the book Critically Conscious Computing: Methods for Secondary Education]. International Journal of Child-Computer Interaction, 35(100546). doi: https://doi.org/10.1016/j.ijcci.2022.100546
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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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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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