Content Analysis of Visual Representations in Biology Textbooks across Selected Educational Boards from Asia
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| Title: | Content Analysis of Visual Representations in Biology Textbooks across Selected Educational Boards from Asia |
|---|---|
| Language: | English |
| Authors: | J., Parthasarathy (ORCID |
| Source: | Cogent Education. 2022 9(1). |
| Availability: | Cogent OA. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
| Peer Reviewed: | Y |
| Page Count: | 21 |
| Publication Date: | 2022 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Secondary Education |
| Descriptors: | Content Analysis, Biology, Science Instruction, Textbooks, Cross Cultural Studies, Illustrations, Incidence, Trend Analysis, Visual Aids, Secondary School Students |
| DOI: | 10.1080/2331186X.2022.2057002 |
| ISSN: | 2331-186X |
| Abstract: | The aim of the present study was to explore the nature of visual representations in biology textbooks across five educational boards across Asia through quantitative and qualitative content analysis. Descriptive statistics was used during the quantitative analysis. Qualitative content analysis involved a deductive approach where visuals in these textbooks were examined and categorized into different categories based on a newly developed typology and taxonomy of visual representation (coding scheme). Under this newly developed typology and taxonomy (coding scheme), visuals in biology textbooks can be categorized into 19 different categories. The findings of the study summarized the characteristics of visual representation usage in these textbooks in terms of their prevalence, distributional differences and trends. Through this study, a new perspective on the taxonomy and classification of visual representations, especially for biology textbooks, has been proposed. Biology teachers and textbook authors can gain insights through the findings of the study. |
| Abstractor: | As Provided |
| Entry Date: | 2023 |
| Accession Number: | EJ1378902 |
| Database: | ERIC |
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