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.
ABSTRACT. Coastal regions are subject to various forms of environmental impacts, such as spills of crude oil and associated products, with a wide range of effects on benthic biodiversity. This study characterized the patterns of recolonization of the macrofauna associated with the brown alga Sargassum cymosum(C. Agardh), on fronds contaminated by diesel oil in a small-scale field experiment. We collected 40 fronds of S. cymosum from an algal bed in southeastern Brazil and defaunated each frond by immersion in fresh water. Half of the fronds were then immersed in seawater (control group) and the other half in a mixture of 50% diesel oil and 50% seawater (impacted group). The test fronds were returned to the algal bed, and natural recolonization took place over a period of 12 days. Samples of the vagile macrofauna were taken randomly at three-day intervals over the course of the recolonization period. No significant differences in the densities of most taxa were found between the impact treatment (IG) and control treatment (CG). At the end of the recolonization period (day 12), the faunal composition of the treated fronds was very similar to the natural conditions, indicating a high rate of community recovery and suggesting that benthic associations can be rather resilient to dieseloil impacts on a small scale.
Fishery impacts pose threats not only to target species, but also to bycatch species. Nevertheless, choosing priorities for conservation or research in fisheries is often driven by economic value and most retained bycatch species such as sharks and rays have been historically of low profit. Traditional stock assessments usually require large quantities of data, financial support, and feasible study conditions. The multi-species nature of Chondrichthyan catch along with their relatively lower value and sparsity of fishery-independent data creates significant challenges to developing accurate impact predictions. This study introduces a novel technique to quantify the relative vulnerability of Chondrichthyan species taken as bycatch. The approach is based on spatial interactions between species and fishing activity (termed here the fishery interaction index, or FII) and is correlated to metrics of productivity. A database of 15 years of fisheries logbooks was used to apply the method to 20 bycatch sharks and target species in one of the largest fishing sectors of Australia’s EEZ. Overall vulnerability based on the FII-productivity combinations obtained was found to agree considerably with the IUCN status of the assessed species, with only a few exceptions that reflected the local status differing from the general global assessments.
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