Semantic network analysis of the biotechnology domain in Iranian high school biology textbooks

Mohadese Eskandari; Youngshin Kim

doi:10.29333/ejmste/12266

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Mohadese Eskandari ¹ , Youngshin Kim ¹ ^*

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¹ Department of Biology Education, College of Education, Kyungpook National University, Daegu, REPUBLIC OF KOREA^* Corresponding Author

Abstract

Textbooks can have a fundamental and positive effect on both learning and teaching. As such, in order to understand how students structure concepts in their minds, it is necessary to analyze the structure in which those concepts presented in textbooks are described. This study examined a network of concepts used in the domain of biotechnology in the Iranian 12^th grade biology textbook and investigated the alignment of science concepts used in its sub-domains. The findings of this study suggest that too many concepts, as well as unconnected ones, were used in biotechnology domain, which led to a complicated conceptual network. Therefore, this paper recommends that the number of biology concepts described in the later text books in the biotechnology domain at Iranian high schools should be reduced in order to facilitate a better formation of connections between concepts and their descriptions.

Keywords

semantic network analysis
Iranian biology textbook
biotechnology domain
biotechnology concept’s articulation

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

EURASIA J Math Sci Tech Ed, Volume 18, Issue 8, August 2022, Article No: em2144

https://doi.org/10.29333/ejmste/12266

Publication date: 26 Jul 2022

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How to cite this article

APA

Eskandari, M., & Kim, Y. (2022). Semantic network analysis of the biotechnology domain in Iranian high school biology textbooks. Eurasia Journal of Mathematics, Science and Technology Education, 18(8), em2144. https://doi.org/10.29333/ejmste/12266

Vancouver

Eskandari M, Kim Y. Semantic network analysis of the biotechnology domain in Iranian high school biology textbooks. EURASIA J Math Sci Tech Ed. 2022;18(8):em2144. https://doi.org/10.29333/ejmste/12266

AMA

Eskandari M, Kim Y. Semantic network analysis of the biotechnology domain in Iranian high school biology textbooks. EURASIA J Math Sci Tech Ed. 2022;18(8), em2144. https://doi.org/10.29333/ejmste/12266

Chicago

Eskandari, Mohadese, and Youngshin Kim. "Semantic network analysis of the biotechnology domain in Iranian high school biology textbooks". Eurasia Journal of Mathematics, Science and Technology Education 2022 18 no. 8 (2022): em2144. https://doi.org/10.29333/ejmste/12266

Harvard

Eskandari, M., and Kim, Y. (2022). Semantic network analysis of the biotechnology domain in Iranian high school biology textbooks. Eurasia Journal of Mathematics, Science and Technology Education, 18(8), em2144. https://doi.org/10.29333/ejmste/12266

MLA

Eskandari, Mohadese et al. "Semantic network analysis of the biotechnology domain in Iranian high school biology textbooks". Eurasia Journal of Mathematics, Science and Technology Education, vol. 18, no. 8, 2022, em2144. https://doi.org/10.29333/ejmste/12266