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  1.  46
    Epistemologically Authentic Inquiry in Schools: A Theoretical Framework for Evaluating Inquiry Tasks.Clark A. Chinn & Betina A. Malhotra - 2002 - Science Education 86 (2):175-218.
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  2.  49
    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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  3. Differences in Epistemic Practices Among Scientists, Young Earth Creationists, Intelligent Design Creationists, and the Scientist-Creationists of Darwin's Era.Clark A. Chinn & Luke A. Buckland - 2011 - In Roger S. Taylor & Michel Ferrari (eds.), Epistemology and Science Education: Understanding the Evolution Vs. Routledge. pp. 38--76.
  4.  11
    Mental Models in Data Interpretation.Clark A. Chinn & William F. Brewer - 1996 - Philosophy of Science 63 (5):S211-S219.
    This paper presents a cognitive account of the process of evaluating scientific data. Our account assumes that when individuals evaluate data, they construct a mental model of a data-interpretation package, in which the data and theoretical interpretations of the data are integrated. We propose that individuals attempt to discount data by seeking alternative explanations for events within the mental model; data-interpretation packages are accepted when the individual cannot find alternative accounts for these events. Our analysis indicates that there are many (...)
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  5.  34
    Mental Models in Data Interpretation.Clark A. Chinn & William F. Brewer - 1996 - Philosophy of Science 63 (3):219.
    This paper presents a cognitive account of the process of evaluating scientific data. Our account assumes that when individuals evaluate data, they construct a mental model of a data-interpretation package, in which the data and theoretical interpretations of the data are integrated. We propose that individuals attempt to discount data by seeking alternative explanations for events within the mental model; data-interpretation packages are accepted when the individual cannot find alternative accounts for these events. Our analysis indicates that there are many (...)
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  6.  46
    Scientists' Responses to Anomalous Data: Evidence From Psychology, History, and Philosophy of Science.William F. Brewer & Clark A. Chinn - 1994 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1994:304 - 313.
    This paper presents an analysis of the forms of response that scientists make when confronted with anomalous data. We postulate that there are seven ways in which an individual who currently holds a theory can respond to anomalous data: (1) ignore the data; (2) reject the data; (3) exclude the data from the domain of the current theory; (4) hold the data in abeyance; (5) reinterpret the data; (6) make peripheral changes to the current theory; or (7) change the theory. (...)
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  7.  7
    Authentic Inquiry: Introduction to the Special Section.Clark A. Chinn & Cindy E. Hmelo‐Silver - 2002 - Science Education 86 (2):171-174.
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