The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Models and Modelling: Routes to More Authentic Science Education
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Citations
Cites
Lakoff, G., & Johnson, M. (2003) · University of Chicago Press eBooks · doi:10.7208/chicago/9780226470993.001.0001 · Cited by 20,632
Knowledge and teaching: Foundations of the new reform
Shulman, L. (1987) · Harvard Educational Review · doi:10.17763/haer.57.1.j463w79r56455411 · Cited by 16,787
Explaining Science: A Cognitive Approach
Giere, R. N. (1988) · University of Chicago Press eBooks · doi:10.7208/chicago/9780226292038.001.0001 · Cited by 1,766
Models and Analogies in Science
Ardley, G. W. R., & Philosophical Studies, W. S. F. T. N. U. O. I. (1965) · Philosophical Studies · doi:10.5840/philstudies19651438 · Cited by 1,762
On looking into the black box: Prospects and limits in the search for mental models.
Rouse, W. B., & Morris, N. M. (1986) · Psychological Bulletin · doi:10.1037/0033-2909.100.3.349 · Cited by 1,218
The mechanisms of analogical learning
Gentner, D. (1989) · Similarity and Analogical Reasoning · doi:10.1017/cbo9780511529863.011 · Cited by 1,129
Developing science teachers' pedagogical content knowledge
van Driel, J. H., Verloop, N., & de Vos, W. (1998) · Journal of Research in Science Teaching · doi:10.1002/(sici)1098-2736(199808)35:6<673::aid-tea5>3.0.co;2-j · Cited by 1,100
Models and Analogies in Science
HESSE, M. B. (1965) · PhilPapers (PhilPapers Foundation) · Cited by 904
Structure-mapping: A theoretical framework for analogy
GENTNER, D. (1983) · Cognitive Science · doi:10.1016/s0364-0213(83)80009-3 · Cited by 816
Black, M. (1977) · Dialectica · doi:10.1111/j.1746-8361.1977.tb01296.x · Cited by 734
Cited by
Defining Computational Thinking for Mathematics and Science Classrooms
Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., & Wilensky, U. (2016) · Journal of Science Education and Technology · doi:10.1007/s10956-015-9581-5 · Cited by 1,609
A Review of Research on Augmented Reality in Education: Advantages and Applications
Saidin, N. F., Abd Halim, N. D., & Yahaya, N. (2015) · International Education Studies · doi:10.5539/ies.v8n13p1 · Cited by 347
Creativity in Science Education: Perspectives and Challenges for Developing School Science
Kind, P. M., & Kind, V. (2007) · Studies in Science Education · doi:10.1080/03057260708560225 · Cited by 276
Taking on the Heat—a Narrative Account of How Infrared Cameras Invite Instant Inquiry
Haglund, J., Jeppsson, F., & Schönborn, K. J. (2016) · Research in Science Education · doi:10.1007/s11165-015-9476-8 · Cited by 45
Metadata
- Authors
- Gilbert, J. K.
- Venue
- International Journal of Science and Mathematics Education
- Published
- 2004-06
- Volume
- 2
- Issue
- 2
- Pages
- 115-130
- ISSN
- 1571-0068 (ISSN-L)
- 1573-1774
- OpenAlex
- W1971617768
- Cited by
- 454
- References
- 47
- FWCI
- 18.89
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Gilbert, J. K. (2004). Models and Modelling: Routes to More Authentic Science Education. International Journal of Science and Mathematics Education. https://doi.org/10.1007/s10763-004-3186-4
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.