The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Development and application of suitable criteria for the evaluation of chemical representations in school textbooks
Abstract
The study of Chemistry deals essentially with three types of chemical representations: macro, submicro, and symbolic. Research has consistently shown that students experience difficulties in understanding and interpreting the representations, in making translations between different types of representations, and in constructing them. In this study, we conducted a detailed review of existing presuppositions that define what Chemical Representations are to be included in school textbooks for the purpose of enhancing the student’s understanding of Chemistry. We then conducted a detailed analysis of the Chemical Representations included in five Chemistry textbooks. The detailed analysis revealed five criteria for the evaluation of chemical representation used in school textbooks. These criteria (C1-C5) are: (C1) the type of the representation; (C2) the interpretation of the surface features; (C3) their relationship to the text; (C4) the existence and the properties of a caption; (C5) the degree of correlation between the components comprising a multiple representation. The utility of the proposed criteria was then checked against a 10th-grade Greek chemistry textbook. The five criteria cover the basic elements required for a better utilization of chemical representations in the understanding of Chemistry. The five criteria can also be used for the analysis of existing school textbooks and as an authoring tool in designing new Chemistry textbooks.
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In the citing paper
“Gkitzia et al. (2011) found that more than half of the representations are generally related to the corresponding concepts.”
From An analysis of the visual representation of redox reactions and related content in Brazilian secondary school chemistry textbooks (2020) · cites this paper as Gkitzia et al., 2011
In the citing paper
“The first three categories above were based on the criteria for the evaluation of chemical representations given by Gkitzia et al. (2011).”
From An analysis of the visual representation of redox reactions and related content in Brazilian secondary school chemistry textbooks (2020) · cites this paper as Gkitzia et al., 2011
In the citing paper
“It has been noted that the mere presence of images in textbooks does not guarantee that it will facilitate the understanding of contents (Gkitzia et al., 2011), coherence between the text and the images is necessary.”
From An analysis of the visual representation of redox reactions and related content in Brazilian secondary school chemistry textbooks (2020) · cites this paper as Gkitzia et al., 2011
Citations
Cites
Mental Representations: A Dual Coding Approach
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Why some students don't learn chemistry: Chemical misconceptions
Nakhleh, M. B. (1992) · Journal of Chemical Education · doi:10.1021/ed069p191 · Cited by 726
Improving Teaching and Learning through Chemistry Education Research: A Look to the Future
Gabel, D. L. (1999) · Journal of Chemical Education · doi:10.1021/ed076p548 · Cited by 607
Students Becoming Chemists: Developing Representationl Competence
Kozma, R., & Russell, J. W. (2005) · Springer eBooks · doi:10.1007/1-4020-3613-2_8 · Cited by 548
Grade‐12 students' misconceptions relating to fundamental characteristics of atoms and molecules
Griffiths, A. K., & Preston, K. R. (1992) · Journal of Research in Science Teaching · doi:10.1002/tea.3660290609 · Cited by 479
The role of submicroscopic and symbolic representations in chemical explanations
Treagust, D. F., Chittleborough, G. D., & Mamiala, T. L. (2003) · International Journal of Science Education · doi:10.1080/0950069032000070306 · Cited by 474
Chemistry: The Molecular Nature of Matter and Change
Silberberg, M. S. (1995) · Cited by 455
Cited by
The Complexity of Reasoning about and with Chemical Representations
Talanquer, V. (2022) · JACS Au · doi:10.1021/jacsau.2c00498 · Cited by 111
Students’ competence in translating between different types of chemical representations
Γκίτζια, Β., Σάλτα, Κ., & Tzougraki, C. (2019) · Chemistry Education Research and Practice · doi:10.1039/c8rp00301g · Cited by 108
Self-citationEvaluation of chemical representations in physical chemistry textbooks
Nyachwaya, J. M., & Wood, N. B. (2014) · Chemistry Education Research and Practice · doi:10.1039/c4rp00113c · Cited by 72
Graulich, N., Hedtrich, S., & Harzenetter, R. (2019) · Chemistry Education Research and Practice · doi:10.1039/c9rp00054b · Cited by 70
Representations of chemical phenomena in secondary school chemistry textbooks
Upahi, J. E., & Ramnarain, U. D. (2018) · Chemistry Education Research and Practice · doi:10.1039/c8rp00191j · Cited by 70
Metadata
- Authors
- Gkitzia, V., Salta, K., & Tzougraki, C.
- ORCID
- Tzougraki, Chryssa
- Venue
- Chem. Educ. Res. Pract.
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2011
- Volume
- 12
- Issue
- 1
- Pages
- 5-14
- ISSN
- 1109-4028 (ISSN-L)
- 1756-1108
- OpenAlex
- W2171173842
- Cited by
- 116
- References
- 57
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 7 · 2023: 15 · 2022: 15 · 2021: 14 · 2020: 12 · 2019: 15 · 2018: 4 · 2017: 9 · 2016: 3 · 2015: 4 · 2014: 6 · 2013: 3
- FWCI
- 15.39
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Chemistry Education Research and Practice (publishedVersion)
- Topics
- Social Sciences › Education › Science Education and Pedagogy
- Social Sciences › Education › Chemistry Education and Research
- Social Sciences › Education › Various Chemistry Research Topics
- Keywords
- chemical representation, evaluation criteria, multiple representations, representation translation, textbook analysis, textbook authoring, chemistry education
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- The paper
- Gkitzia, V., Salta, K., & Tzougraki, C. (2011). Development and application of suitable criteria for the evaluation of chemical representations in school textbooks. Chem. Educ. Res. Pract. https://doi.org/10.1039/c1rp90003j
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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.
