Scientific Thinking and Reasoning

By Kevin Dunbar, David Klahr. 2012

196 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c44f7e40fe6f7c66ec94636be05a5ec960ee7ded

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In Cognitive Neuroscience

Citations in the corpus

Reading Into the Future: Competence for the 21st Century (2012, background): “Because they require consideration of the attributes or features of information in its many forms, relational reasoning strategies have the potential to heighten readers’ attentional and perceptive abilities (e.g., Dunbar & Fugelsang, 2005).”
Development and Validation of the Scientific Reasoning Scale (2017, methodology): “…processes that permeate science: induction, deduction, experimental design, causal reasoning, concept formation, hypothesis testing, and so on” (Dunbar & Klahr, 2012, p. 611), using the “general skills implicated in experimental design and evidence evaluation” (Zimmerman, 2000, p. 104; see…”
Inductive reasoning, domain specific and complex problem solving: Relations and development (2013, background): “…school curricula (e.g. Mullis et al., 2009), or explicitly in a specific domain such as mathematical (Daniel & Embretson, 2010), technical (Baumert, Evans, & Geiser, 1999), or scientific (Dunbar & Fugelsang, 2005) problem solving or problem solving in game playing (Frensch & Sternberg, 1991).”
Domain-general problem solving skills and education in the 21st century (2014, background): “Although it is fully acknowledged that domain-specific knowledge about electric circuits influences performance on this task (e.g., Dunbar & Fugelsang, 2005), domain-general strategies that are helpful across domains and problem situations such as systematically varying all aspects of the problem…”
The Nature and Development of Critical-Analytic Thinking (2014, background): “Perhaps, the first lesson to be learned from scholarship in this area is that classrooms should emulate the work environments of professionals in disciplines such as history or science, at least part of the time (Dunbar and Klahr 2012).”
Managing Uncertainty During Collaborative Problem Solving in Elementary School Teams: The Role of Peer Influence in Robotics Engineering Activity (2014, methodology): “Learning to deal with uncertainty is part of learning to participate in engineering and science practices (Dunbar & Fugelsang, 2005; Latour & Woolgar, 1986), make sense of inscriptions (Gray & Tall, 1994; Radinsky, 2008), and engage in scientific discourse (Hall, 1999; Hyland, 1996).”