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Cited by 190

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The Particulate Nature of Matter: Challenges in Understanding the Submicroscopic World

Open access
Harrison, Allan G, Treagust, David F·2006·Science & Technology Education Library

Abstract

From about age 12 years and up, students are progressively inducted into the mysteries of atoms, molecules and ions. In most classes, this induction involves students listening to teachers, reading books, and watching particle simulations. Students are expected to 'understand that scientific ideas about the particle nature of matter can be used to explain the properties of matter' and that 'ideas about the structure of the particles ... can be used to explain the different types of changes that can take place ...' (some typical outcomes in the Queensland School Curriculum Council science syllabus, 1999, pp.3031). Indeed, a vast array of biological, chemical and physical phenomena can only be explained by understanding the changes in the arrangement and motions of atoms and molecules. And so particles are frequently used in school and college textbooks to explain material properties, the states of matter and phase changes, chemical reactions, the water cycle, diffusion, DNA and cell biology.

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Metadata

Authors
Harrison, A. G., & Treagust, D. F.
Venue
Science & Technology Education Library
Published
2006-03-11
Pages
189-212
OpenAlex
W2232103327
Cited by
190
References
2
FWCI
41.56
Type
book chapter
Language
en
Open access
green

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CoChat. (2026). Citation check: The Particulate Nature of Matter: Challenges in Understanding the Submicroscopic World. https://app.cochat.ai/papers/10.1007/0-306-47977-x_9
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Harrison, A. G., & Treagust, D. F. (2006). The Particulate Nature of Matter: Challenges in Understanding the Submicroscopic World. Science & Technology Education Library. https://doi.org/10.1007/0-306-47977-x_9

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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).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.