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Two billion registered students affected by stereotyped educational environments: an analysis of gender-based color bias
According to the literature, educational technologies present several learning benefits to promote online education. However, there are several associated challenges, and some studies illustrate the limitations in elaborating educational technologies, called Design limitations. This aspect is respon...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Palgrave Macmillan UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362687/ https://www.ncbi.nlm.nih.gov/pubmed/35967484 http://dx.doi.org/10.1057/s41599-022-01220-6 |
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author | Santos, Jário Bittencourt, Ig Reis, Marcelo Chalco, Geiser Isotani, Seiji |
author_facet | Santos, Jário Bittencourt, Ig Reis, Marcelo Chalco, Geiser Isotani, Seiji |
author_sort | Santos, Jário |
collection | PubMed |
description | According to the literature, educational technologies present several learning benefits to promote online education. However, there are several associated challenges, and some studies illustrate the limitations in elaborating educational technologies, called Design limitations. This aspect is responsible for unleashing various issues in the learning process, such as gender inequality, creating adverse effects on cognitive, motivational, and behavioral mediators, which opposes the fifth UN’s Sustainable Development Goal. Therefore, many studies notice the harmful effects of stereotypes in educational technologies. These effects can be included in the design, like colors or other stereotyped elements, or how the activity is conducted. Based on this, the present study aimed to verify the predominance of color bias in educational technologies available on the WEB. This study developed a computational solution to calculate male and female color bias in the available educational technology web pages. The results suggest the prevalence of the development of educational technologies with a male color bias, with an imbalance among genders, without adequate customization for age groups. Furthermore, some environments, such as Computer Science, present a higher color bias for men when compared to women. Despite both scales being independent, results indicated interesting evidence of a substantial prevalence of colors associated with the male scale. According to the literature, this may be associated with dropout and lack of interest in female students, especially in sciences, technology, engineering, and mathematics domains. |
format | Online Article Text |
id | pubmed-9362687 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Palgrave Macmillan UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93626872022-08-10 Two billion registered students affected by stereotyped educational environments: an analysis of gender-based color bias Santos, Jário Bittencourt, Ig Reis, Marcelo Chalco, Geiser Isotani, Seiji Humanit Soc Sci Commun Article According to the literature, educational technologies present several learning benefits to promote online education. However, there are several associated challenges, and some studies illustrate the limitations in elaborating educational technologies, called Design limitations. This aspect is responsible for unleashing various issues in the learning process, such as gender inequality, creating adverse effects on cognitive, motivational, and behavioral mediators, which opposes the fifth UN’s Sustainable Development Goal. Therefore, many studies notice the harmful effects of stereotypes in educational technologies. These effects can be included in the design, like colors or other stereotyped elements, or how the activity is conducted. Based on this, the present study aimed to verify the predominance of color bias in educational technologies available on the WEB. This study developed a computational solution to calculate male and female color bias in the available educational technology web pages. The results suggest the prevalence of the development of educational technologies with a male color bias, with an imbalance among genders, without adequate customization for age groups. Furthermore, some environments, such as Computer Science, present a higher color bias for men when compared to women. Despite both scales being independent, results indicated interesting evidence of a substantial prevalence of colors associated with the male scale. According to the literature, this may be associated with dropout and lack of interest in female students, especially in sciences, technology, engineering, and mathematics domains. Palgrave Macmillan UK 2022-07-30 2022 /pmc/articles/PMC9362687/ /pubmed/35967484 http://dx.doi.org/10.1057/s41599-022-01220-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Santos, Jário Bittencourt, Ig Reis, Marcelo Chalco, Geiser Isotani, Seiji Two billion registered students affected by stereotyped educational environments: an analysis of gender-based color bias |
title | Two billion registered students affected by stereotyped educational environments: an analysis of gender-based color bias |
title_full | Two billion registered students affected by stereotyped educational environments: an analysis of gender-based color bias |
title_fullStr | Two billion registered students affected by stereotyped educational environments: an analysis of gender-based color bias |
title_full_unstemmed | Two billion registered students affected by stereotyped educational environments: an analysis of gender-based color bias |
title_short | Two billion registered students affected by stereotyped educational environments: an analysis of gender-based color bias |
title_sort | two billion registered students affected by stereotyped educational environments: an analysis of gender-based color bias |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362687/ https://www.ncbi.nlm.nih.gov/pubmed/35967484 http://dx.doi.org/10.1057/s41599-022-01220-6 |
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