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Commonsense Chemistry: A Model for Understanding Students' Alternative Conceptions
Abstract
Students' alternative conceptions play a central role in how they learn science. However, the large number and diversity of these alternative conceptions makes it difficult for teachers to identify any patterns in their students' thinking. A thorough analysis of alternative conceptions in chemistry, as described in the research literature in science and chemistry education, has led to the development of an explanatory framework that encompasses many of the ideas held by chemistry students about chemical substances and phenomena. Research results provided here indicate that many students' conceptual difficulties result from commonsense reasoning. This commonsense approach is based upon a set of assumptions about the natural world and the application of reasoning heuristics that students instinctively follow and apply without hesitating or considering other alternatives. The identification of this explanatory framework may provide a useful model that teachers can use to better understand and even predict many of their students' learning difficulties.
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Citations
Cited by
Singer, S., & Smith, K. A. (2013) · Journal of Engineering Education · doi:10.1002/jee.20030 · Cited by 835
Conditions for the Effectiveness of Multiple Visual Representations in Enhancing STEM Learning
Rau, M. A. (2017) · Educational Psychology Review · doi:10.1007/s10648-016-9365-3 · Cited by 281
Interview with the Chatbot: How Does It Reason?
Talanquer, V. (2023) · Journal of Chemical Education · doi:10.1021/acs.jchemed.3c00472 · Cited by 56
Self-citationLessons from the field: Isn't it just common sense? Naïve realism as a barrier to learning
Dyer, K. D. (2024) · Family Relations · doi:10.1111/fare.12967 · Cited by 2
Metadata
- Authors
- Talanquer, V.
- Venue
- Journal of Chemical Education
- Publisher
- American Chemical Society (ACS)
- Published
- 2006-05
- Volume
- 83
- Issue
- 5
- Pages
- 811
- ISSN
- 0021-9584 (ISSN-L)
- 1938-1328
- OpenAlex
- W2020655567
- Cited by
- 225
- References
- 0
- FWCI
- 24.74
- Type
- journal article
- Language
- en
- Open access
- closed
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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).
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