The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
Beyond the scientific method: Model‐based inquiry as a new paradigm of preference for school science investigations
Open accessAbstract
One hundred years after its conception, the scientific method continues to reinforce a kind of cultural lore about what it means to participate in inquiry. As commonly implemented in venues ranging from middle school classrooms to undergraduate laboratories, it emphasizes the testing of predictions rather than ideas, focuses learners on material activity at the expense of deep subject matter understanding, and lacks epistemic framing relevant to the discipline. While critiques of the scientific method are not new, its cumulative effects on learners' conceptions of science have not been clearly articulated. We discuss these effects using findings from a series of five studies with degree‐holding graduates of our educational system who were preparing to enter the teaching profession and apprentice their own young learners into unproblematic images of how science is done. We then offer an alternative vision for investigative science—model‐based inquiry (MBI)—as a system of activity and discourse that engages learners more deeply with content and embodies five epistemic characteristics of scientific knowledge: that ideas represented in the form of models are testable, revisable, explanatory, conjectural, and generative. We represent MBI as an interconnected set of classroom conversations and provide examples of its implementation and its limitations. © 2008 Wiley Periodicals, Inc. Sci Ed 92:941–967, 2008
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Cites
The Structure of Scientific Revolutions
Kuhn, T. S., & Schlegel, R. (1963) · Physics Today · doi:10.1063/1.3050879 · Cited by 35,538
The Structure of Scientific Revolutions.
Bohm, D., & Kuhn, T. S. (1964) · The Philosophical Quarterly · doi:10.2307/2217783 · Cited by 9,130
DEWEY, J. M. (1910) · Cited by 6,801
Pandora's Hope: Essays on the Reality of Science Studies
Casper, M. J., & Latour, B. (2000) · Contemporary Sociology · doi:10.2307/2655272 · Cited by 5,049
Dewey, J. (1910) · D C Heath eBooks · doi:10.1037/10903-000 · Cited by 3,998
Epistemic Cultures: How the Sciences Make Knowledge
Knorr Cetina, K. (1999) · Harvard University Press eBooks · doi:10.4159/9780674039681 · Cited by 3,956
Science as Social Knowledge: Values and Objectivity in Scientific Inquiry
Longino, H. E. (1990) · doi:10.1515/9780691209753 · Cited by 3,092
The Mangle of Practice: Time, Agency, and Science
Pickering, A. (1995) · University of Chicago Press eBooks · doi:10.7208/chicago/9780226668253.001.0001 · Cited by 2,699
Hempel, C. G. (1966) · Medical Entomology and Zoology · Cited by 2,517
Students' and teachers' conceptions of the nature of science: A review of the research
Lederman, N. G. (1992) · Journal of Research in Science Teaching · doi:10.1002/tea.3660290404 · Cited by 2,169
Cited by
Schwarz, C. V., Reiser, B. J., Davis, E. A., Kenyon, L., Achér, A., Fortus, D., Shwartz, Y., Hug, B., & Krajcik, J. (2009) · Journal of Research in Science Teaching · doi:10.1002/tea.20311 · Cited by 1,155
Experimental and Quasi-Experimental Studies of Inquiry-Based Science Teaching: A Meta-Analysis
Furtak, E. M., Seidel, T., Iverson, H., & Briggs, D. C. (2012) · Review of Educational Research · doi:10.3102/0034654312457206 · Cited by 1,021
Proposing a core set of instructional practices and tools for teachers of science
Windschitl, M., Thompson, J., Braaten, M., & Stroupe, D. (2012) · Science Education · doi:10.1002/sce.21027 · Cited by 593
Self-citationSTROUPE, D. (2014) · Science Education · doi:10.1002/sce.21112 · Cited by 396
Working toward a stronger conceptualization of scientific explanation for science education
Braaten, M., & Windschitl, M. (2011) · Science Education · doi:10.1002/sce.20449 · Cited by 351
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Metadata
- Authors
- Windschitl, M., Thompson, J., & Braaten, M.
- Venue
- Science Education
- Publisher
- Wiley
- Published
- 2008-08-27
- Volume
- 92
- Issue
- 5
- Pages
- 941-967
- ISSN
- 0036-8326 (ISSN-L)
- 1098-237X
- OpenAlex
- W2034946585
- Cited by
- 906
- References
- 69
- FWCI
- 71.55
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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