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  1. Manipulating Models and Grasping the Ideas They Represent.T. G. K. Bryce & E. J. Blown - 2016 - Science & Education 25 (1-2):47-93.
    This article notes the convergence of recent thinking in neuroscience and grounded cognition regarding the way we understand mental representation and recollection: ideas are dynamic and multi-modal, actively created at the point of recall. Also, neurophysiologically, re-entrant signalling among cortical circuits allows non-conscious processing to support our deliberative thoughts and actions. The qualitative research we describe examines the exchanges occurring during semi-structured interviews with 360 children age 3–13, including 294 from New Zealand and 66 from China concerning their understanding of (...)
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  • Explanation in scientists and children.William F. Brewer, Clark A. Chinn & Ala Samarapungavan - 1998 - Minds and Machines 8 (1):119-136.
    In this paper we provide a psychological account of the nature and development of explanation. We propose that an explanation is an account that provides a conceptual framework for a phenomenon that leads to a feeling of understanding in the reader/hearer. The explanatory conceptual framework goes beyond the original phenomenon, integrates diverse aspects of the world, and shows how the original phenomenon follows from the framework. We propose that explanations in everyday life are judged on the criteria of empirical accuracy, (...)
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  • Thought-Experiments About Gravity in the History of Science and in Research into Children’s Thinking.E. J. Blown & T. G. K. Bryce - 2013 - Science & Education 22 (3):419-481.
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  • Argumentation and Explanation in Conceptual Change: Indications From Protocol Analyses of Peer‐to‐Peer Dialog.Christa S. C. Asterhan & Baruch B. Schwarz - 2009 - Cognitive Science 33 (3):374-400.
    In this paper we attempt to identify which peer collaboration characteristics may be accountable for conceptual change through interaction. We focus on different socio‐cognitive aspects of the peer dialog and relate these with learning gains on the dyadic as well as the individual level. The scientific topic that was used for this study concerns natural selection, a topic for which students’ intuitive conceptions have been shown to be particularly robust. Learning tasks were designed according to the socio‐cognitive conflict instructional paradigm. (...)
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  • Models in science and mental models in scientists and nonscientists.William F. Brewer - 2001 - Mind and Society 2 (2):33-48.
    This paper examines the form of mental representation of scientific theories in scientists and nonscientists. It concludes that images and schemas are not the appropriate form of mental representation for scientific theories but that mental models and perceptual symbols do seem appropriate for representing physical/mechanical phenomena. These forms of mental representation are postulated to have an analogical relation with the world and it is this relationship that gives them strong explanatory power. It is argued that the construct of naïve theories (...)
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  • Conceptual Change from the Framework Theory Side of the Fence.Stella Vosniadou & Irini Skopeliti - 2014 - Science & Education 23 (7):1427-1445.
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  • On Discerning Critical Elements, Relationships and Shifts in Attaining Scientific Terms: The Challenge of Polysemy/Homonymy and Reference.Helge R. Strömdahl - 2012 - Science & Education 21 (1):55-85.
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  • The Relation Between Essentialist Beliefs and Evolutionary Reasoning.Andrew Shtulman & Laura Schulz - 2008 - Cognitive Science 32 (6):1049-1062.
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  • Tempering the tension between science and intuition.Andrew Shtulman & Andrew G. Young - 2024 - Cognition 243 (C):105680.
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  • Scientific knowledge suppresses but does not supplant earlier intuitions.Andrew Shtulman & Joshua Valcarcel - 2012 - Cognition 124 (2):209-215.
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  • Tensions Between Science and Intuition Across the Lifespan.Andrew Shtulman & Kelsey Harrington - 2016 - Topics in Cognitive Science 8 (1):118-137.
    The scientific knowledge needed to engage with policy issues like climate change, vaccination, and stem cell research often conflicts with our intuitive theories of the world. How resilient are our intuitive theories in the face of contradictory scientific knowledge? Here, we present evidence that intuitive theories in 10 domains of knowledge—astronomy, evolution, fractions, genetics, germs, matter, mechanics, physiology, thermodynamics, and waves—persist more than four decades beyond the acquisition of a mutually exclusive scientific theory. Participants were asked to verify two types (...)
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  • Children's thoughts on the origin of species: A study of explanatory coherence.Ala Samarapungavan & Reinout W. Wiers - 1997 - Cognitive Science 21 (2):147-177.
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  • Toward an Account of Intuitive Time.Ruth Lee, Jack Shardlow, Christoph Hoerl, Patrick A. O'Connor, Alison S. Fernandes & Teresa McCormack - 2022 - Cognitive Science 46 (7):e13166.
    People hold intuitive theories of the physical world, such as theories of matter, energy, and motion, in the sense that they have a coherent conceptual structure supporting a network of beliefs about the domain. It is not yet clear whether people can also be said to hold a shared intuitive theory of time. Yet, philosophical debates about the metaphysical nature of time often revolve around the idea that people hold one or more “common sense” assumptions about time: that there is (...)
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  • Theory of Mind, Personal Epistemology, and Science Learning: Exploring Common Conceptual Components.Natassa Kyriakopoulou & Stella Vosniadou - 2020 - Frontiers in Psychology 11.
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  • Problem solving, cognition, and complex systems: Differences between experts and novices.Michael J. Jacobson - 2001 - Complexity 6 (3):41-49.
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  • Anomalous Evidence, Confidence Change, and Theory Change.Joshua A. Hemmerich, Kellie Van Voorhis & Jennifer Wiley - 2016 - Cognitive Science 40 (6):1534-1560.
    A novel experimental paradigm that measured theory change and confidence in participants' theories was used in three experiments to test the effects of anomalous evidence. Experiment 1 varied the amount of anomalous evidence to see if “dose size” made incremental changes in confidence toward theory change. Experiment 2 varied whether anomalous evidence was convergent or replicating. Experiment 3 varied whether participants were provided with an alternative theory that explained the anomalous evidence. All experiments showed that participants' confidence changes were commensurate (...)
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  • Representing, Running, and Revising Mental Models: A Computational Model.Scott Friedman, Kenneth Forbus & Bruce Sherin - 2018 - Cognitive Science 42 (4):1110-1145.
    People use commonsense science knowledge to flexibly explain, predict, and manipulate the world around them, yet we lack computational models of how this commonsense science knowledge is represented, acquired, utilized, and revised. This is an important challenge for cognitive science: Building higher order computational models in this area will help characterize one of the hallmarks of human reasoning, and it will allow us to build more robust reasoning systems. This paper presents a novel assembled coherence theory of human conceptual change, (...)
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  • Coherence versus fragmentation in the development of the concept of force.Andrea A. diSessa, Nicole M. Gillespie & Jennifer B. Esterly - 2004 - Cognitive Science 28 (6):843-900.
    This article aims to contribute to the literature on conceptual change by engaging in direct theoretical and empirical comparison of contrasting views. We take up the question of whether naïve physical ideas are coherent or fragmented, building specifically on recent work supporting claims of coherence with respect to the concept of force by Ioannides and Vosniadou [Ioannides, C., & Vosniadou, C. (2002). The changing meanings of force. Cognitive Science Quarterly 2, 5–61]. We first engage in a theoretical inquiry on the (...)
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