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- W4283463508 abstract "Coordinating modeling and real-world data is central to building scientific theories. This paper examines how a complementary focus on modeling and data contributed to 8th grade students’ learning of mechanisms underlying wildfire smoke spread in MoDa, a web-based environment that integrates computational modeling side-by-side with real-world data for comparison and validation. Epistemic network analysis of student responses in pre-post tests revealed a shift from primarily macro-level explanations to explanations that integrated macro and micro-level explanations of the phenomenon. Video data analysis revealed three design elements that contributed to student learning: Naming of the blocks, match between data and model visualization, and collective reflections on models. We reflect on implications for the design of environments that integrate computational modeling with real-world data analysis." @default.
- W4283463508 created "2022-06-26" @default.
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- W4283463508 date "2022-06-27" @default.
- W4283463508 modified "2023-10-17" @default.
- W4283463508 title "MoDa: Designing a Tool to Interweave Computational Modeling with Real-world Data Analysis for Science Learning in Middle School" @default.
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- W4283463508 doi "https://doi.org/10.1145/3501712.3529723" @default.
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