The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Children and adults as intuitive scientists.
Abstract
The metaphor of children and lay adults as intuitive scientists has gained wide acceptance. Although useful in one sense, pertaining to scientific understanding, in another, pertaining to the process of scientific thinking, the metaphor may be fundamentally misleading. Research is reviewed indicating that processes of scientific thinking differ significantly in children, lay adults, and scientists. Hence, it is the instruments of scientific thinking, not just the products, that undergo "strong restructuring" (Carey, 1986). A framework for conceptualizing development of scientific thinking processes is proposed, centering on progressive differentiation and coordination of theory and evidence. This development is metacognitive, as well as strategic. It requires thinking about theories, rather than merely with them, and thinking about evidence, rather than merely being influenced by it, and, hence, reflects the attainment of control over the interaction of theories and evidence in one's own thinking.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In addition, it appears that children (and even some adults) do not make the same sharp distinction between theories and evidence that scientists do (Carey, Evans, Honda, Jay, & Unger, 1989; D. Kuhn, 1989; D. Kuhn, Amsel, & O'Loughlin, 1988).”
From The role of anomalous data in knowledge acquisition: A theoretical framework and implications for science instruction. (1993) · cites this paper as D. Kuhn, 1989
In the citing paper
“A large body of developmental research indicates that children (and even many adults) are deficient in their understanding of such methodological matters as controlled experimentation and the interpretation of covariation information (e.g., Gil & Carrascosa, 1985;Kuhn, 1989;Kuhn et al., 1988;Schauble, 1990;Shaklee & Elek, 1988;Shaklee & Goldston, 1989).”
From The role of anomalous data in knowledge acquisition: A theoretical framework and implications for science instruction. (1993) · cites this paper as Kuhn, 1989
In the citing paper
“a.An explicit understanding of the relationship between theory and evidence (Kuhn, 1989).”
From The role of anomalous data in knowledge acquisition: A theoretical framework and implications for science instruction. (1993) · cites this paper as Kuhn, 1989
Citations
Cites
The Structure of Scientific Revolutions
Kuhn, T. S., & Schlegel, R. (1963) · Physics Today · doi:10.1063/1.3050879 · Cited by 35,538
Vygotsky, L. S. (1964) · Bulletin of the Orton Society · doi:10.1007/bf02928399 · Cited by 20,704
The growth of logical thinking: From childhood to adolescence.
Inhelder, B., & Piaget, J. (1958) · Basic Books · doi:10.1037/10034-000 · Cited by 4,607
Human Inference: Strategies and Shortcomings of Social Judgment.
Cherniak, C., Nisbett, R. E., & Ross, L. D. (1983) · The Philosophical Review · doi:10.2307/2184495 · Cited by 4,196
Conceptual Change in Childhood
Carey, S. E. (1985) · Medical Entomology and Zoology · Cited by 3,851
Review of Child Development Research
Walters, J., Hoffman, M. L., & Hoffman, L. W. (1965) · Journal of Marriage and the Family · doi:10.2307/349834 · Cited by 3,658
The Psychology Of Intelligence
Piaget, J. (2005) · Routledge eBooks · doi:10.4324/9780203981528 · Cited by 3,032
Miller, G. A., & Cantor, N. E. (1982) · Social Cognition · doi:10.1521/soco.1982.1.1.83 · Cited by 2,862
Beyond IQ: A Triarchic Theory of Human Intelligence
Clarke, A. M., & Sternberg, R. J. (1986) · British Journal of Educational Studies · doi:10.2307/3121332 · Cited by 2,856
The role of theories in conceptual coherence.
Murphy, G. L., & Medin, D. L. (1985) · Psychological Review · doi:10.1037/0033-295x.92.3.289 · Cited by 2,805
Cited by
Sorted by citations
Items 601–700 of 777
How to Know This Is a Good Thing: A Developmental Analysis of Inter-Cultural, Anti-Racist Education
Blakeney, R. F. (2002) · Swiss Journal of Educational Research · doi:10.24452/sjer.24.3.4640 · Cited by 1
Perspectivas actuais sobre o ensino das ciências: clarificação de caminhos
Bonito, J. M. R. (2015) · Terrae Didatica · doi:10.20396/td.v4i1.8637491 · Cited by 1
Thinking Biases in Searching for Explanation:
Wang, J.-W., Cheng, C.-M., & Lin, W.-Y. (2010) · Journal of Psychology · doi:10.1080/09764224.2010.11885443 · Cited by 1
Playing Prejudice: The Impact of Game-Play on Attributions of Gender and Racial Bias
Hammer, J. (2014) · Cited by 1
Normative theories of categorization
Corter, J. E. (1991) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00070862 · Cited by 1
Tim: How to Go from Explicit to Explanatory General Knowledge of the Learning Process
van Velzen, J. H. (2015) · Springer eBooks · doi:10.1007/978-3-319-24433-4_7 · Cited by 1
Instructional Implications: Developing General Knowledge of the Learning Process
van Velzen, J. H. (2015) · Springer eBooks · doi:10.1007/978-3-319-24433-4_4 · Cited by 1
Rotjanakunnatam, B., & Chayaburakul, K. (2018) · AIP conference proceedings · doi:10.1063/1.5019532 · Cited by 1
Polarization and the Role of Digital Media
Burighel, M. (2019) · Nordicum-Mediterraneum · doi:10.33112/nm.14.2.8 · Cited by 2
Hollister, D. L. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-818366-3.00009-5 · Cited by 1
Berkel, G. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108863599 · Cited by 1
Trustworthiness Challenge in Children’s Environmental Problem Solving in the Digital Era
Kim, M., & Wong, S. S. H. (2020) · Springer eBooks · doi:10.1007/978-981-15-5155-0_9 · Cited by 2
Levin, D. M., Kramer, J. F., Keselman, A., & Barnes-Whitlock, B. (2012) · PubMed · Cited by 1
Student Reflections and Self-Assessments in Vocational Training Supported by a Mobile Learning Hub
Amhag, L. (2022) · IGI Global eBooks · doi:10.4018/978-1-6684-5696-5.ch034 · Cited by 1
Qadeer, A., & Anwar, K. (2023) · Sukkur IBA Journal of Educational Sciences and Technologies · doi:10.30537/sjest.v2i2.1194 · Cited by 1
Animating the mind: an analysis of animation as a representational mode for learning
Hewson, L. (2002) · Research Online (University of Wollongong) · Cited by 1
Why Learning Can Be Hard: Preschooler's Causal Inferences
Bonawitz, E. B., & Schulz, L. (2008) · Cited by 1
New data and prior belief: The two faces of scientific reasoning
Dawson, C., & Rowell, J. A. (1990) · Research in Science Education · doi:10.1007/bf02620479 · Cited by 1
On the Other Side of the Barrier Is Thinking
Brown, S. (2009) · eCite Digital Repository (University of Tasmania) · Cited by 1
On Horns and Halos: Confirmation Bias and Job RotationPreprint
Müller, D. (2010) · RePEc: Research Papers in Economics · Cited by 1
Rational analysis: Too rational for comfort?
de Sousa, R. (1991) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00070874 · Cited by 1
The effects of knowledge and its developmental differences on misconception of weight.
Aoki, T. (1992) · The Japanese journal of psychology · doi:10.4992/jjpsy.63.188 · Cited by 1
On the nonapplicability of a rational analysis to human cognition
Shafir, E. B. (1991) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00071004 · Cited by 1
The cognitive laboratory, the library and the Skinner box
Rachlin, H. C. (1991) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00070989 · Cited by 1
Student observations and explanations of a physical phenomenon : the Cartesian Diver
Adler, J. D. (2009) · cIRcle (University of British Columbia) · doi:10.14288/1.0054980 · Cited by 1
Children's Conceptions of Nature and Nurture
Gelman, S. A. (2003) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195154061.003.0005 · Cited by 1
Constructing scientific explanations from text: A theory with implications fro conceptual change
Chinn, C. A. (1995) · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign) · Cited by 1
Learning to Teach Elementary Students to Construct Evidence-Based Claims of Natural Phenomena.
Arias, A. M. (2015) · Deep Blue (University of Michigan) · Cited by 1
Fonash, J. (2015) · doi:10.18130/v3sg3d · Cited by 1
Essays in Applied Microeconomics and Management
Müller, D. (2010) · bonndoc (University of Bonn) · Cited by 1
The child as a realistic scientist : developing the analogy between science and commonsense
O’Loughlin, C. (1995) · University of Canterbury Research Repository (University of Canterbury) · doi:10.26021/11835 · Cited by 1
Ansätze und Methoden empirischer Forschung zum Sachunterricht
:null (2002) · Verlag Julius Klinkhardt eBooks · doi:10.35468/6063 · Cited by 1
Análise e aprimoramento da feira de ciência em escolas municipais de Santana de Parnaíba - SP
Hernandes, C. A. M. (2023) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.81.2023.tde-19022024-171447 · Cited by 1
Faucheux, A. (2019) · theses.fr (ABES) · doi:10.70675/7827b488z5bc2z44f1z9026z4b8c5114bb07 · Cited by 1
Cognitive Models of Task Performance for Scientific Reasoning and Discovery
Leighton, J. P., & Gierl, M. J. (2011) · Cambridge University Press eBooks · doi:10.1017/cbo9780511996276.004
Un enfoque constructivista-cognitivo de la terapia cognitiva
Rosen, H. (1993) · Revista de Psicoterapia · doi:10.33898/rdp.v4i14/15.966
Making sense of complexity: Dimensions for designing classroom inquiry activities
Radinsky, J., Loh, B., Brown, M., Reiser, B. J., Gomez, L. M., & Edelson, D. C. (1998)
Baron, J. (1992) · Informal Logic · doi:10.22329/il.v14i1.2526
Levin, D. M., Kramer, J. F., Keselman, A., & Barnes-Whitlock, B. (2012) · The Science Teacher
Islands of Expertise: Describing and Investigating the Impact of Knowledge on Parent Child Talk
Palmquist, S. (2005) · D-Scholarship@Pitt (University of Pittsburgh)
Detecting minimal differences in the observation of evidence in inquiry learning
Richtering, C. (2010)
Are There Developmental Milestones in Science Reasoning
Fay, A. L., Klahr, D., & Dunbar, K. N. (1990) · Defense Technical Information Center (DTIC) · doi:10.21236/ada225611
Novice and Expert Comprehensive Reasoning about Infectious Disease
Cathcart, L. A. (2008) · University Libraries (University of Maryland)
The Role of Beliefs on Learning About Homosexuality in a College Course
Vaughn, J., Kennison, S. M., & Byrd‐Craven, J. (2014) · Journal of Homosexuality · doi:10.1080/00918369.2014.928172
Klahr, D. (2001) · Science · doi:10.1126/science.292.5524.2009c
But how does the brain think? (or wasn't that the question?)
Small, S. L. (1991) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00071028
Yan, Z., & Liu, X. (2012) · International Journal of Cyber Behavior Psychology and Learning · doi:10.4018/ijcbpl.2012100105
Gestural Articulations of Embodied Spatiality
Lee, L. H. J., & Chee, Y. S. (2013) · International Journal of Gaming and Computer-Mediated Simulations · doi:10.4018/ijgcms.2013100102
A case study of scientific reasoning
McRobbie, C. J., & English, L. D. (1993) · Research in Science Education · doi:10.1007/bf02357061
Revitalizing the metaphoric process in commonsense psychology
Wong, W. (2002) · Philosophical Psychology · doi:10.1080/0951508021000042021
The Effects of Supportive and Anomalous Information on the Evaluation of Explanations
Jefferson, A. M. (2012) · eCommons (Cornell University)
Reflections on Teaching: Meaningful Scribbles.
MAAS, F. K. (2009) · Thought & action
Fender, J. G. (2004) · D-Scholarship@Pitt (University of Pittsburgh)
The Rational Child: Theories and Evidence in Prediction, Exploration, and Explanation
Bonawitz, E. B. (2009) · DSpace@MIT (Massachusetts Institute of Technology)
The Philosophy of Scientific Debate Traditions
Rosenberger, R. (2008) · SUNY Digital Repository Support (State University of New York System)
Adaptive rationality and identifiability of psychological processes
Massaro, D. W., & Friedman, D. (1991) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00070977
Matteson, J. (2011) · UA Campus Repository (The University of Arizona)
da Silva, S. H., & Koch (2011)
Development of Conceptual Change and Understanding in Children
Sharma, C. (2014)
Ho, P. S., & Songer, N. B. (2006)
Luckie, D. B., Harrison, S. H., Ebert‐May, D., Maleszewski, J. J., Aubry, J. R., Marengo, B. J., Rivkin, A. M., Foos, L. A., Sweeder, R. D., & Creech, L. R. (2015)
La psycho-pédagogie de l'argumentation: Bibliographie commentée
Darbellay, K. (2005)
Dostál, D. (2012)
Certainty Posing: The Motives and Morality of Exaggerating One's Degree of Certainty
Zant, V., & Bryant, A. P. (2015)
Syllogistic Reasoning and Cognitive Bias of Senior High School Students in Ambon, Indonesia
Pelamonia, J., & Corebima, A. D. (2015) · Indian Journal of Science and Technology · doi:10.17485/ijst/2015/v8i35/68609
Smokler, H. (1991) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0007103x
Joanna, C., & Descriptors Agency Cooperation (1997)
Reluctance to think: unable or unwilling?
Brown, S. (2011) · eCite Digital Repository (University of Tasmania)
Klein, D. M. (2015) · Publications of the UdS (Saarland University) · doi:10.22028/d291-23398
Neuroscientific Challenges to deontological theory: Implications to Moral Education
Park, J.-H. (2011) · Journal of Ethics · doi:10.15801/je.1.82.201109.73
Bayes in the context of suboptimality
Gregson, R. A. M. (1991) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00070941
Optimality and psychological explanation
Godfrey‐Smith, P. (1991) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0007093x
Rational analysis will not throw off the yoke of the precision-importance trade-off function
Schwarz, W. (1991) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00070990
Mechanistic and rationalistic explanations are complementary
Chandrasekaran, B. (1991) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00070850
Beyond Helmholtz, or why not include inner determinants from the beginning?
Geißler, H.-G. (1991) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00070916
Probing the “Achilles' heel” of rational analysis
Holyoak, K. J. (1991) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00070965
Rationality and irrationality: Still fighting words
Snow, P. (1991) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00071041
Human and nonhuman systems are adaptive in a different sense
Zétényi, T. (1991) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00071065
The rationality of causal inference
Shultz, T. R. (1991) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00071016
Viewpoints (Opinion/Positio n Papers, Essays, etc.)
Kuhlmeier, V. (1991)
Reflections on Teaching: Meaningful
MAAS, F. K. (2009)
Introduction to Part I: Notes on Research Methods
Gelman, S. A. (2003) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195154061.003.0002
What Parents Say—and Do Not Say—about Essences
Gelman, S. A. (2003) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195154061.003.0008
Gelman, S. A. (2003) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195154061.003.0007
Theory Theories and DAM Theories
Gelman, S. A. (2003) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195154061.003.0010
Gelman, S. A. (2003) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195154061.003.0012
Gelman, S. A. (2003) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195154061.003.0004
The Inductive Potential of Categories
Gelman, S. A. (2003) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195154061.003.0003
Causal Explanations, Causal Determinism
Gelman, S. A. (2003) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195154061.003.0006
From Ann Brown to Deanna Kuhn: a tale of two research perspectives on learning
Jan, M. (2016) · Learning Research and Practice · doi:10.1080/23735082.2016.1207356
COORDINATING THEORY AND EVIDENCE: THE BENEFITS OF A MODEL-BASED SCIENCE CURRICULUM
Zimmerman, C., & Raghavan, K. (2002)
Avoiding Hasty Conclusions: Manipulating Informant Expertise to Avoid Conceptual Entrenchment
Durkin, K. L., Landrum, A. R., Savage, P., Eglian, M., & Shafto, P. (2015)
- Self-citation
Scientific Reasoning in a Belief Context: A Developmental Study
Croker, S. J., & Buchanan, H. (2007) · eScholarship (California Digital Library)
Talking about evidence in inquiry-based science: what role can software scaffolds play?
Kyza, E. Α., & Edelson, D. C. (2003) · The Library of Electronic Cyprus Thematic Organized Collections (LYKYTHOS) (University of Cyprus)
Metadata
- Authors
- Kuhn, D.
- Affiliations
- Columbia University (US)
- Corresponding author
- Kuhn, Deanna
- ORCID
- Kuhn, Deanna
- Venue
- Psychological Review
- Published
- 1989
- Volume
- 96
- Issue
- 4
- Pages
- 674-689
- ISSN
- 0033-295X (ISSN-L)
- 1939-1471
- OpenAlex
- W1972191699
- Cited by
- 774
- References
- 57
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 11 · 2023: 14 · 2022: 20 · 2021: 14 · 2020: 41 · 2019: 22 · 2018: 37 · 2017: 13 · 2016: 14 · 2015: 30 · 2014: 25 · 2013: 17 · 2012: 35
- FWCI
- 139.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Review (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Education › Science Education and Pedagogy
- Social Sciences › Psychology › Developmental and Educational Psychology › Educational Strategies and Epistemologies
- Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
- Keywords
- scientific thinking, children's scientific thinking, scientific reasoning, theory and evidence, metacognition, meta-reasoning, cognitive development, conceptual framework
- MeSH terms
- Child, Cognition, Female, Humans, Human Development, Male, Models, Psychological, Problem Solving, Science, Thinking
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review