Connecting Scientific Reasoning and Causal Inference
By Deanna Kuhn, David Dean, Jr.. 2004
104 citations recorded by the source corpus.
Subfields: Artificial Intelligence, History and Philosophy of Science
View Paper: https://www.semanticscholar.org/paper/1a382e84868377da39c2aad22d36dbaaa6ff1df2
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In Artificial Intelligence
In History and Philosophy of Science
Citations in the corpus
- Learning science through inquiry in kindergarten (2008, background): “A substantial developmental literature suggests that an understanding of the nature and processes of scientific inquiry develops spontaneously, relatively late in elementary school children (Kuhn & Dean, 2004; Kuhn et al., 1988; Zimmerman, 2000).”
- Developing Sixth Graders’ Inquiry Skills to Construct Explanations in Inquiry‐based Learning Environments (2006, background): “A second approach emphasizes scientific reasoning and the process of constructing explanations (Kuhn, 1989; Kuhn & Dean, 2004).”
- What Needs to Develop in the Development of Inquiry Skills? (2008, methodology): “In particular, previous work with this type of prediction task led us to focus on two characteristics (Kuhn & Dean, 2004; Keselman, 2003).”
- Does Discovery-Based Instruction Enhance Learning?. (2011, background): “This would seem to require learners to have considerable metacognitive skills, and it is unlikely that all learners, in particular children, would have such skills (Dewey, 1910; Flavell, 2000; Kuhn & Dean, 2004).”
- Reasoning About Multiple Variables: Control of Variables Is Not the Only Challenge (2007, background): “Kuhn and Dean (2004) thus characterized these patterns as reflecting an immature mental model of multivariable causality.”
- The Development of Scientific Thinking Skills in Elementary and Middle School. (2007, background): “Kuhn and Dean (2004) summarize the key diVerences in methodologies used in these two lines of research.”
- Beyond control of variables: What needs to develop to achieve skilled scientific thinking? (2008, background): “Kuhn and Dean (2004) found that preadolescents, as well as some adults, perform poorly on such a multivariable prediction (MVP) task.”