In many countries, water quality monitoring is limited due to the high cost of logistics and professional equipment such as multiparametric probes. However, low-cost sensors integrated with the Internet of Things can enable real-time environmental monitoring networks, providing valuable water quality information to the public. To facilitate the widespread adoption of these sensors, it is crucial to identify which sensors can accurately measure key water quality parameters, their manufacturers, and their reliability in different environments. Although there is an increasing body of work utilizing low-cost water quality sensors, many questions remain unanswered. To address this issue, a systematic literature review was conducted to determine which low-cost sensors are being used for remote water quality monitoring. The results show that there are three primary vendors for the sensors used in the selected papers. Most sensors range in price from US$6.9 to US$169.00 but can cost up to US$500.00. While many papers suggest that low-cost sensors are suitable for water quality monitoring, few compare low-cost sensors to reference devices. Therefore, further research is necessary to determine the reliability and accuracy of low-cost sensors compared to professional devices.

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Este trabalho relata desafios encontrados na inclusão de alunos surdos no ensino da Computação e resultam da observação da trajetória de um acadêmico matriculado no Curso de Ciência da Computação. Os desafios apresentados e as ações desencadeadas não têm por objetivo fundamentar uma teoria abrangente ou mesmo estatística, mas sim suscitar discussão reflexiva frente às suas especificidades. Dado o aumento do número de alunos com essa deficiência no ensino superior, é importante que esses desafios estejam claros para que as universidades possam se adequar a esta realidade.