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Teaching and Learning with Jupyter
Although originally developed for scientists to share their work, Jupyter notebooks are becoming a popular method to introduce data-rich science and mathematical investigations to secondary and intro college students. However, development of curriculum using Jupyter has far outpaced basic research in this area. Like other tools of science and mathematics, introducing python/Jupyter notebooks to students requires teachers to develop attunements to the basic structures and epistemic functions of these tools, and this process is not yet well-understood.
Seed funding by: The Barbara Y. White Bequest (active)|
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CoRE Lab Presentations at ISLS ’25
Come check out our work at the 2025 Annual Meeting of the International Society for the Learning Sciences!
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CoRE @ Euro Congress of Math Ed (CERME-14)
Michelle was invited to present a plenary discussion at the 14th Congress of the European Society for Research in Mathematics Education (CERME14), hosted by the Free University of Bozen-Bolzano with colleague Rolf Biehler of Paderborn University. Curricular innovation was a theme throughout the conference, and Rolf and Michelle’s talk explored visions of Data Science Education […]
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Teachers & DataViz Discussions in IJSME
Leading classroom dataviz discussions can be tricky. This paper examines how a dataviz discussion guide can help teachers stay flexible, while meeting specific mathematical and scientific learning goals.
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Aligning Ideas + Models in Cognition & Instruction
Computational tools hold promise for science education, but each tool models information in a different way. This paper explores ways to connect what students know to the language and structures of different modeling tools.
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Sci Educ: When Models are “Right but Wrong”
Agent-based modeling can encourage students to think about scientific mechanisms. But to refine students’ understandings toward accurate explanations, comparing their 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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CoRE @ 2024 Conferences
The CoRE lab has been having fun sharing our work at the BSE Research Day here in Berkeley, and at the Annual Meeting of the American Educational Research Association in Philadelphia! Brendan presents his research on teacher learning about critical computing at the Graduate Student Research Roundtable at AERA’24. See here for a full list […]
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CoRE Lab at ISLS 2024
Several CoRE Lab members and alumni will be presenting at ISLS 2024 in Buffalo, NY.
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Data Science Ed at ICME-15
We’re excited to be a part of the upcoming 15th International Conference in Mathematics Education (ICME-15)! Michelle will be serving as a co-chair (with Daniel Frischemeier) of Topic Study Group 3.18, focused on Data Science Teaching and Learning. She’ll also be sharing work co-authored with Hollylynne Lee and Gemma Mojica exploring the use of the […]
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