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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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The Data Science Education Fellowship
This postdoctoral opportunity brings together faculty from College of Computing, Data Science, and Society (CDSS), the Berkeley School of Education (BSE), and the Social Sciences D-Lab. These faculty will support three (3) fellows as they study the teaching and learning of Data Science, with attention to ethics and inclusion in both instruction and content, and to pathways across educational sectors as they seek to prepare and articulate students into new Data Science majors.
Funded by: National Science Foundation DGE-2430522 -
Data Practices Integration Framework (DPIF)
How to use the DPIF? *Note that Steps 1 and 2 are interchangeable. Evaluations Context Methods Technology Communications Ethics Measures Measures – MethodsWhat are the procedures used to plan and execute measurements? Measures – Technology What are the tools used to plan and execute measurements? Measures – CommunicationsHow are measurement procedures communicated to audiences? Measures – […]
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Fitzmaurice Recognized at ISLS ’24!
Helen’s full paper, “Activism or bureaucracy: What are we teaching students through local climate action projects?” won a Best Paper Award at the 2024 Meeting of the International Society for the Learning Sciences. Her paper examines the ways that teachers’ framing and enactment of student action projects shift over time toward different “orientations-of-action,” or ways […]
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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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Henrique Recognized at SIGCSE ’24
This weekend, CoRE Lab member and BSE PhD student Brendan Henrique won first place in the Graduate Student Research competition at SIGCSE 2024! Brendan reported his ongoing analysis of how K-12 teachers learn about critically conscious approaches to teaching computing across the curriculum. As part of this work, he designed and taught a summer course […]
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CoRE Lab at ISLS 2024
Several CoRE Lab members and alumni will be presenting at ISLS 2024 in Buffalo, NY.